|
|
Archive 16
ARCHIVE 16
25 January - 15 April 2012
Modern
theories of consciousness are criticised for taking little account of olfaction
(smell). The author thinks that the nature of the olfactory system could
falsify some fashionable theories of consciousness because smell is the only
sensory input which does not enter the cortex via the thalamus. This is a
problem for those theories of consciousness that propose that consciousness
arises exclusively from feedback loops between the thalamus and the cortex.
Recent
research suggests that there are two olfactory routes to the cortex. The direct
pathway leads from the initial receptors via the piriform cortex to the
orbitofrontal cortex. A more indirect pathway also runs via the piriform cortex,
but then goes to the thalamus before projecting to the orbitofrontal. This indirect
pathway may be required for analysing or specifically identifying smells, and thinking
about and deciding on relevant actions. However, it is not required for
detecting odours or discriminating between different odours or their different
intensities. These depend on the direct path that does not go via the thalamus.
The author suggests that some claims for the role of the indirect thalamic
pathway may be overstated. Some tests that emphasise the role of the thalamus involve
the conscious decision to sample particular smells. This is accepted as suggesting
the importance of the thalamus when selective attention is required. However,
the thalamus is not necessary for conscious awareness of smells in the subject's
environment. The author considers and rejects the claim that the olfactory bulb
functions in a manner equivalent to the thalamus. He considers that not only does the olfactory
system not depend on the thalamus, but also that it does not contain anything
that is functionally equivalent to the thalamus.
15 APRIL 2012 KAUFFMAN'S POISED REALM
Reinventing
the Sacred
Stuart Kauffman (2008)
INTRODUCTION: From the point of view of
consciousness studies, Kauffman's 'poised realm' is the most interesting aspect
of his work. He identifies the poised realm with conditions in photosynthetic
organisms where quantum coherence begins to decohere, but is forced back into
partial coherence. His hypothesis is that consciousness is found in this border
area of decoherence and recoherence, which is suggested to have the potential
to supplement the deterministic algorithms of classical physics.
Kauffman is
critical of the reductionist trend of science as practised during the last
three centuries. He argues that reduction of the world to particles in motion
does not by itself supply sufficient explanation in all instances. He holds
that the organisation of complex areas such as evolution and biology cannot be
deduced just from the existence of particles and their governing laws.
Kauffman
further argues that given the basis of the physical laws, there is an infinite
number of ways in which the quanta could be arranged, of which, the organisation
of proteins and organisms is only a very limited subset. So the evolution of
the present life forms is not a deterministic certainty, and the existing life
forms and other aspects of the material world are only a small subset of the
possible outcomes.
Origin of life: Kauffman hypothesises that life
originated from a simpler replicator than either DNA or the now popular idea of
RNA. A helix of 32 amino acids, has been shown to be capable of binding
together two smaller chains of 17 and 15 amino acids, and thus forming a copy
of the initial sequence of 32 amino acids. If substantiated, this would
demonstrate an emergent system of replication. Furthermore it is implied that
many molecular systems could achieve this, so there are many paths to the
origin of life that are allowed by the laws of physics, rather than a single
deterministic path.
Life, even it is argued primitive life, involves agency which
does not exist in physics. Agents are seen as emerging from the evolutionary
process. Life is seen as introducing agency into the universe, and agency in
its turn introduces meaning and value. The act of choosing between different
types of behaviour is seen as requiring an agent. But in physics there are no
such agents.
It should be stressed that Kauffman's position appears to be
different from what might be termed the 'naïve emergent property theory', which
has been a prominent theme in mainstream consciousness theory. This merely
asserts that consciousness is an emergent property without showing how it
emerges from a more fundamental level, as can be clearly demonstrated for other
emergent properties such as the liquidity of water.
Far from thermal
equilibrium: Kauffman argues that to understand agency it is necessary to
understand the Carnot work cycle in thermodynamics. The work-cycle system
consists of a hot and a cold reservoir, plus a cylinder and piston with a
compressible gas. Heat from the hot reservoir expands the gas and pushes the
piston down the cylinder. The piston is pushed down the cylinder until the gas
cools, and contracts again as a result of the cold reservoir at the other end of
the cylinder. This power stroke is described as spontaneous because it does not
require the injection of any energy into the system. A ball rolling down a hill
is another example of spontaneous action. What does require an injection of
energy is pushing the piston back up the cylinder, and this process is
described as non-spontaneous. In other words, the system has to be reset. The
usefulness of this type of steam engine is that it takes less energy to
recompress the cooled gas than the amount of energy obtained from the hot gas.
The image of the Carnot steam engine is important in relation to the
functioning of biological tissues, because these are both systems far from
thermal equilibrium. The Carnot engine cannot work within a state of thermal
equilibrium because it requires the heat on the cylinder to expand the cooler
gas. It is stressed that in both the steam engine and organic processes, there
is a need to reset the mechanism so that it can continue its work cycle.
Agency
is seen as the biological feature that allows resetting of the work cycle.
Kauffman examines the primitive example of a bacterium swimming up the glucose
gradient. Receptors for glucose signal the glucose gradient. For the bacterium
the meaning of the gradient signal is more glucose in a particular direction,
and the bacterium interprets this meaning by swimming up the gradient.
Information: Kauffman is critical of the concept of 'information' as applied to
organisms, claiming that the concept is both restrictive and unclear. He points
out that Shannon conceived of information as involving a source, a channel and
a receiver. Information sent down the channel reduces the uncertainty of the
receiver. It is pointed out that Shannon never defines information, but leaves
the 'receiver' to decide this. A bacterium is seen as a receiver of information
about the glucose gradient, and it responds to the information. Kauffman argues
that the information approach ignores the physics of work and energy, and
focuses narrowly on information transmission from DNA to RNA to protein. He
regards this as being inadequate to explain the functioning of the cell.
Kauffman
views the role of the cell as being to constrain activity so there are only
limited degrees of freedom, and this constraint requires work to achieve it. In
the steam engine, it requires work to assemble the piston and cylinder that
provide constraints. Cells are thus seen as building their own constraints or boundary
conditions. Organisms are viewed as an interwoven web of work and constraints.
It is further argued that information involves an agent, and that this agent is
a constraint, so that the information is given meaning or interpretation. The
advantage here is that there is not just one response to one stimulus as in an
automation, but a choice of different responses according to context. The
ability to discriminate between stimuli is argued to be a state poised between
order and chaos, where order always gives the same answer for stimuli, despite
varying outcomes from these stimuli in the past, and chaos gives a random
outcome that is of no value. Kauffman's approach resonates with other recent
research on brain areas such as the orbitofrontal, anterior cingulate, the
basal ganglia and also the function of dopamine. These are important in
providing the brain with a flexibility in its response to stimuli which could
not be prestated because of the enormous number of possible outcomes.
The
problem with computers: In the foundational stage of computing, Alan Turing
understood that he could write down symbols, modify then according to a set of
rules, and eventually after perhaps a series of such modifications, come to an
answer. Turing reconstituted this process as an idea for a machine that read
symbols on a tape and made a rule-governed move, according to what the symbol
was. It transpired that this machine could carry out all possible computations.
The computing/algorithmic systems, to which this approach gave rise, have
had some successes at the level of robotic machinery. With defined objects in a
defined setting, algorithmic systems can solve specific problems, such as a
robot finding a source of electricity in a room. In this case, the solutions
for the robot have been prestated, or predefined by the programmers, who know
how it should respond to objects in the room. However, it is not possible to
prestate all the conditions that may be faced by humans and other complex organisms.
This would lead to an explosion in the number of possibilities that needed to
be precalculated. The robot is provided with a frame limitation, but the
explosion of options suggests that this is not feasible for humans which in
turn suggests the brain is at least in part non-algorithmic.
Categorisation: Kauffman also looks at the problem of categorisation. Humans place things in
categories all the time, and two very dissimilar things can be consigned to the
same category. Thus robins and penguins are both in the bird category. Plato
was possibly first to discuss the problem of categories, suggesting that
members of categories shared at least one essential feature. Wittgenstein,
however, argued that categories might have no common features. This leaves us
to look for similarities but it is not clear which similarities allow
membership of which category. A bird may be the same size, weight and colour as
a ball, but that does not put the ball into the bird category. Kauffman
suggests that these difficulties may be overcome if categorisation is non-algorithmic.
Consciousness
& the poised state: In the final stage of his book, Kauffman argues that
consciousness derives from a 'poised state' between quantum coherence and
decoherence into classical states. He looks to the transition from a quantum
world of persisting possibilities to a classical world of actual possibilities.
The acausal nature of quantum mechanics is central to his thinking. The Schrödinger
equation is solved for the amplitude of the electron at each point in space.
These eigenfunctions square the amplitude at each point in space, and define
the probability of finding an electron at each point in space. Nothing known
causes the electron's choice of position, there are only probabilities at every
point in space. For Kauffman, quantum mechanics breaks out of the causal
closure of the reductionistic tradition. Amongst other things he suggests that this
might resolve the problem of freewill, which cannot exist within deterministic
physics.
Kauffman discusses the concept of phase information. The
interference pattern seen in the two-slit experiment requires all the phase
information on the final screen to add together to give the peaks and troughs
of the interference pattern. Decoherence involves the loss of phase information
as a result of interaction with the environment, often described as a heat bath
of quantum oscillators. The interaction with the environment in seen as
comparable to the interaction with the measuring device in the Copenhagen
interpretation. However decoherence may not be as clear cut as the Copenhagen
type measurement. In certain circumstances, only part of a system decoheres and
some coherence remains.
Kauffman places consciousness at this 'poised state'
where part of the system decoheres and part is coherent. The coherent state is
suggested to influence the classical decoherent state. In looking for such a
system, Kauffman examines the recent research on photosynthetic systems. In
photosynthesis photons are captured by the chlorophyl molecule that is held by
antenna protein. The chlorophyl molecule maintains quantum coherence for up to
750 femtoseconds. This is longer than the classical prediction, and is viewed
as responsible for the higher than classically predicted efficiency of energy
transfer. The antenna protein plays a role in preventing more rapid decoherence, or in inducing recoherence
in decohering parts of the chlorophyll molecule. Part of the quantum system may
start to decohere, but be forced back into coherence, sometimes described as
quantum error correction.
Within the chlorophyll molecule the superposition
of the Schrodinger solutions allows the simultaneous exploration of all the
possible pathways. This is more efficient than the serial or one-path-at-a-time
exploration, and is taken as an explanation for the mid 90 percentage efficiency
of the system, in contrast with the 60-70% predicted for a classical system.
Kauffman thinks that the system seen in the chlorophyll molecule raises the
possibility that webs of quantum coherence or partial coherence can extend
across a large part of a neuron, and can remain poised between coherence and
decoherence. Kauffman's discussion refers to coherent electron transport, but
he recognises that other forms of coherence such as phonons and electron spin
could be relevant.
The 'poised state' is supposed to span states that are between
being mainly coherent and partly decoherent. Information injected into the
system can induce recoherence. The flow of information into cells is seen as a
means by which recoherence could be induced and coherence maintained. In other
writing, Kauffman suggests a two-way flow of influence, with quantum
possibilities effecting classical systems, while classical systems could
influence recohering quantum systems.
In relating quantum coherence to
consciousness, Kauffman assumes like Hameroff that coherence would have to be
sustained for the milliseconds timescales associated with neural processing,
rather than the femto and picosecond timecales associated with quantum
coherence in photosynthetic organisms. It might be debatable if a direct
one-to-one correlation between processing activity and conscious episodes is
necessary.
2 APRIL 2012 SUBJECTIVE VALUES IN THE VENTROMEDIAL
Contributions
of ventromedial prefrontal and frontal polar cortex to reinforcement learning
and value-based choice
Erie D. Boorman & MaryAnn Noonan
In:- Neural
Basis of Motivational and Cognitive Control
INTRODUCTION: This chapter more than once stresses the
importance of both expected and experienced subjective value of reward, thus
implicitly conflicting with mainstream consciousness theories that assign no
role to conscious experience.
This chapter consider how agents select
options for behaviour. The values that decide the selection of options are
often learnt. The authors consider the role of the ventromedial prefrontal and
the orbitofrontal. The orbitofrontal is viewed as being particularly involved
in flexible behaviour. Its main role is argued to be making predictions about
the outcome of behaviour relative to stimuli in the environment, and also
evaluating errors in reward prediction. This is seen as relating to learning
and to future choice of stimuli, but not to the immediate selection of actions.
The orbitofrontal is further involved in encoding a reward as having been the
result of a particular choice of behaviour.
The orbitofrontal is strongly
connected to areas of the sensory cortex responsible for assembling
representations, such as the inferior temporal, somatosensory and olfactory.
There are also strong connections to the anterior cingulate. A distinction is
made between the lateral orbitofrontal that is seen to encode the expected
subjective value of stimuli, assigning credit for particular rewards to
particular action and contributing to learning, and the medial orbitofrontal that
is more related to the comparisons of different values.
Subjective value: The decrease in the firing rate of orbitofrontal neurons following satiety in
feeding indicates that the orbitofrontal encodes the subjectively experienced
value of internal states in relation to rewards, according to the level of such
internal states as hunger. Studies suggest that the orbitofrontal encodes the
probability and magnitude of rewards and the preferences of the subject. The region
appears to code for both the expectation and the subsequent experience of
rewards, and is seen as encoding rewards of current relevance. P. Activity in the
ventromedial prefrontal, adjacent to the orbitofrontal cortex, also correlates
with the subjective value of both expected and experienced rewards. The
ventromedial has been shown to encode the subjective value of experienced
rewards for a range of sensory stimuli. Its correlation with subjective values is
seen as confirming the response to satiety in feeding already detected in the
orbitofrontal. Parts of the ventromedial correlate with expected values,
including abstractions such as monetary values. Activity in this area is
thought to match the value of an option during decision making. It can, for
instance, reflect trust in a third party's opinion relative to the subject's
own experience and also the value of different choices of action. This area may
code for such features as delay in receiving, probability of receiving and also
size of reward. In trials conducted by the authors, the ventromedial has been
seen to encode the expected value of a chosen option and an option that was not
chosen. This could apply to rewards that were not directly comparable and to
the gain or loss of such rewards. However, the cost in effort needed to achieve
a reward is seen to involve the anterior cingulate rather than the
ventromedial. Such, evaluation of cost is not found in the orbitofrontal or the
ventromedial.
28 MARCH 2012 FREE WON'T
Fronto-basal-ganglia
circuits for stopping action
Ian Greenhouse, Nicole Swann & Adam Aron
In:- Neural Basis of Motivational and Cognitive Control
INTRODUCTION: This chapter describes a neural network that
can stop initiated actions. This qualifies the naïve interpretation of the
Libet experiments that ascribes all choice to readiness potentials that proceed
conscious awareness of the decision to make (trivial) actions. Libet himself
suggested there might be a 'free won't' that could override the automaton type
readiness potentials and recent neuroscience looks to support this suggestion.
The authors consider situations in which a subject has already begun an
action, but stops in response to an external stimuli. Many studies suggest that
a particular fronto-basal-ganglia circuit is responsible for this control. It
is suggested that in this situation sensory information relative to external
stimuli is projected to the prefrontal, and particularly the areas of the right
inferior frontal and the presupplementary motor area, and that these areas send
a 'stop' command via the basal ganglia. Part of the inferior frontal may relate
to attention, and a part to inhibition. The subthalamic nucleus is seen as a
region of the basal ganglia that is suited for a 'stop' signal. It is well
placed to increase inhibition of thalamo-cortical output. It is thought capable
of inhibiting both basal ganglia and motor system output. The subthalamic nucleus
receives inputs from the inferior frontal and the presupplementary. The
inferior frontal, the presupplementary and the subthalamic are viewed as a
connected functional network sending a fast inhibitory signal to the motor
system. Stopping an initiated action is also seen to involve increased GABA
activity. A specific oscillatory frequency in the beta band also appears to be
involved. The 'stop' process appears to require a degree of preparation and the
targeting of a specific action.
17 MARCH 2012 MEMORY IN MICROTUBULES Molecular
match
for CaMKII phosphorylation encoding of microtubule lattices
Stuart
Hameroff, Travis Craddock & J.A. Tuszynski
Journal of Integrative
Neuroscience, vol 9, no. 3 (2010) 253-267
- Imperial College Press DOI: 10.1142/S0219635210002482
Learning and
the formation of memories are supported by the post-synaptic flux of
calcium
ions which activates the hexagonal calcium-calmodulin kinase enzyme. Two
groups
of six kinase domains can be phosphorylated and these are able to
phosphorylate
other proteins. This is viewed by the authors as potentially encoding
memory
within neurons.
Microtubules are regarded as the best candidates for
intraneuronal memory storage. The authors use molecular modelling to
show that
the spatial dimensions and geometry of the kinase domains exactly match
those
of hexagonal lattice neighbourhoods on microtubules. They suggest that
this
arrangement creates a phosphorylation mechanism.
Phosphorylation
prolongs
calcium-calmodulin kinase (CaMKII) activity, and the authors suggest
that this
allows the memory of synaptic activity to be encoded in the CaMKII. The
calcium-calmodulin kinase in shown in the author's modelling to overly
both the
microtubule A and B lattices. The enzyme interacts with six tubulins in
the
microtubular lattice. The encoding here is according to whether or not
the
CaMKII is phosphorylated or not, as a form of binary system.
The
authors
suggest that neither the original flux of calcium ions nor the
subsequent
activation of calcium-calmodulin is sufficiently stable to comprise
memory
storage that may last a life time. Microtubules are here suggested as a
possible end point beyond both the calcium flux and CaMKII, where
permanent
storage can occur. The authors appear to consider the microtubule
lattice to be
the most likely site for memory storage.
It is further suggested that
memory-related information in microtubules could subsequently determine
neuronal and synaptic structures, and by means of stored information
regulate the initial firing of axons.
CONCLUSION: The authors do
not discuss the implications
for consciousness in this paper. However the connection to axonal
regulation
and the similarity of the hexagonal lattice system to that proposed for
consciousness in dendrites must suggest the possibility of conscious
activity
here as well.
11 MARCH 2012 DECISION MAKING IN THE FRONTAL CORTEX Decision making in frontal cortex: From single units
to fMRI
Steven W. Kennersley & Philippe N. Tobler
In:- Neural Basis
of Motivational and Cognitive Control
INTRODUCTION: The authors discuss the
role of three frontal brain regions, the orbitofrontal, the anterior cingulate
and the lateral prefrontal. Although not mentioned as such, the work is
interesting in relation to the involvement of subjective conscious experience
in determining the decision making discussed here, and its apparent
relationship to variations in the firing rate of single neurons.
Decisions
by humans and other animals require the consideration of multiple influences
and possibilities. The decision of which of a choice of foods to eat, or how to
reach a required destination is often influenced by a number of potentially
conflicting factors. In the simple case of decision to eat, the outcome is at
least influenced by the internal state (how hungry), longer-term goals such as
future health, and cost factors such as the effort etc. needed to obtain the
food. The brain then has to decide which of a number of options best meet the
various needs and goals.
A particular problem is to assign values for, or
have a common neural currency for, experiences that do not appear to have a
common currency, such as the taste of a food and the energy required to obtain
it. The currency also needs to be able to compare the very different outcomes
of the various possible courses of action.
Evidence from the research of
recent years combines to suggest that the frontal cortex has a role in decision
making. The authors emphasise the role of the anterior cingulate, the lateral
prefrontal, the orbitofrontal and also the ventromedial prefrontal. These are
suggested to be involved in representing internal states, representing external
variables, assigning values to actions and selection of options based on these
action values.
Studies show, for instance, that activity in the
orbitofrontal and ventromedial varies
according to whether there is hunger/thirst or satiety. Internal reward
representation also changes in response to experience. A food substance that
used to be associated with a good experience can be devalued and avoided by
subjects after earlier rewards fail to be repeated. However, this change does
not happen with subjects that have damage to the orbitofrontal. Lateral and
central areas of the orbitofrontal receive projections mainly from the sensory
cortex, which could explain the sensitivity to devalued rewards. The medial
orbitofrontal is linked more to regions with a motor function such as the
anterior cingulate.
Single neurons in the orbitofrontal, anterior cingulate
and lateral prefrontal are sensitive to the size and/or probability of reward
and the time until reward. There was considerable variability in the function
of single neurons. Given three decision variables, some neurons coded for the
value of a single option, some for two-out-of- three possibilities and some for
all three possibilities. The authors found no evidence that any of the three
frontal areas studied were specialised for dealing with particular decisions.
However, single neurons in the anterior cingulate could encode up to at least three
decision variables, suggesting that this brain region might integrate the
values of different components of a decision. The lateral prefrontal increased
activation for reward probability and magnitude and their combined value, and
also integrated the levels of value and risk attached to an action. The medial
orbitofrontal processes reward probability and the lateral orbitofrontal
processes risk. The anterior cingulate appears to be particularly related to
assessing the cost as opposed to the potential value of actions.
The authors
see the orbitofrontal as relating to expectancies for the outcomes of particular
sensory stimuli, while the anterior cingulate relates to the value of actions. The
anterior cingulate and the lateral prefrontal project to the pre-motor area,
while the orbitofrontal is most notable for inputs from the sensory areas.
Some
single-neurons adapt their rate of firing to the range of possible outcomes and
also to the type of outcome being assessed. These neurons have been identified
in the orbitofrontal and to striatal and dopamine producing regions, and there
is also some evidence for this type of firing in the anterior cingulate. The
authors speculate as to whether this type of range sensitivity could be more
widespread.
29 FEBRUARY 2012 RESETTING ENTANGLEMENT AT HIGH TEMPERATURES
Steady
state entanglement in open and noisy quantum systems at high temperature
L.
Hartmann, W. Dur, & H.J. Briegel, Innsbruck University
Phys Rev A, vol.
74, issue 5 (dated May 15 2011)
INTRODUCTION: This paper is significant in moving away from
a Tegmark type orthodoxy of rapid decoherence in high temperature systems,
towards a recognition that systems far from thermal equilibrium, such as biomolecules,
are capable of resetting entanglement by drawing new particles from the
environment.
This paper demonstrates how quantum entanglement can be
sustained in open and noisy environments that are far from thermal equilibrium,
despite the tendency of such systems to decoherence. Such a system has a large
number of interacting particles, and can also interact with and exchange
particles with the environment. The impact of decoherence is counteracted by
resetting of some of these particles to their initial state.
The situation
of entanglement in macroscopic solids and fluids with large numbers of
particles interacting with one another and the environment has been unclear.
Studies have shown that entanglement is present in such systems, but this only
referred to very low temperatures at which particles were close to their ground
state. The main question which the authors address here is what happens in
systems that are far from thermal equilibrium and exchange particles with the
environment. This involves systems where individual particles are subject to
decoherence, and particles are exchanged with the environment. Such systems
include biomolecular processing within cells. The past expectation, as with the
well-known Tegmark (2000) paper, is that decoherence would quickly destroy
entanglement in such a system.
The authors identify a mechanism which can
allow entanglement in systems that are not close to their ground state. This
involves particles from the environment replacing particles in the system. In
combination with particles already in the system, the 'fresh' particle is able
to create entanglement. The system is described as being coupled to two
reservoirs, a high temperature reservoir creating decoherence, and a second low
temperature reservoir from which 'fresh' particles are drawn. This described a
system far from thermal equilibrium.
All the authors results, which also
involved simulating the system on a computer, produced the same conclusion that
entanglement could persist in systems that are far from thermal equilibrium. Thus
there is a sharp distinction made by the authors between systems at thermal
equilibrium where entanglement can only occur at very low temperatures, and
those that are far from equilibrium where entanglement can be sustained at high
temperatures. Entanglement is suggested to persist in the middle ground where it
has time to build up, but decoherence is not too fast. In the case of biomolecules
that are far from thermal equilibrium, and where there are fluctuations in the
number of particles in the system, 'fresh' particles from the environment are
seen as likely to be responsible for the reset mechanism.
27 FEBRUARY 2012 ANTERIOR CINGULATE
An
integrative theory of anterior cingulate cortex function: Option selection in
hierarchical reinforcement learning
Clay Holroyd & Nick Yeung
In:-
Neural Basis of Motivational and Cognitive Control
This
chapter discusses the role of the anterior cingulate cortex. This brain region
can be seen as part of a circuit involving the orbitofrontal, the ventral
striatum, the dopamine neurons and finally the dorsolateral prefrontal. From
the point of view of subjective consciousness, the orbitofrontal can be seen as
injecting a subjective consciousness element into the final selection of
extended behaviours by the anterior cingulate, which in turn acts on the
executive area of the dorsolateral prefrontal.
The anterior cingulate cortex
(ACC) is regarded as an important brain area for cognitive control. The ACC receives inputs from the limbic
areas, the orbitofrontal and the midbrain dopamine neurons, and has dense
projections to the motor cortex. It is seen as part of an 'executive network' involving other regions of the sensory and
frontal cortex. There are four main theories, which to a good degree overlap,
concerning the function of the anterior cingulate. Firstly there is a concept
of monitoring behaviour, error detection and response to this. Secondly action selection focusing on the
wilful generation of behaviour. Thirdly,
reinforcement learning focused on learning to select particular behaviours.
Finally, some theories focus on the ACC's role in determining the cost of
behaviours.
A unified theory for the role of the anterior cingulate has yet
to be developed, but the authors try to move towards one in this chapter. One hypothesis is that the ACC monitors for
when more cognitive control of actions is required, although activity in the
region can increase even without errors. It is variously suggested that the ACC
could predict the likelihood of errors or conflicts between actions, and signal
the need for the increased involvement of the dorsolateral prefrontal.
Conflict-related
ACC activity in one experimental trial is predictive of more dorsolateral
activity in the next trial, which in turn leads to improved performance
suggestive of a feedback loop between the anterior cingulate and the dorsal
prefrontal. However, this is not the extent of the ACC's role as shown by
neural imaging, which also points to sustained activity related to task
preparation and execution. The anterior cingulate is also considered to learn
about the consequences of internally generated actions through dopamine
projections.
The anterior cingulate has for a long time been seen as part of
the limbic circuit. It is seen as integrating presumably conscious and
subjective hedonic value into action plans, and may produce emotional responses
to events as they occur. There is evidence that ACC lesions encourage the
selection of less costly actions, and that dopamine input to the ACC is
necessary for the selection of more costly actions.
The authors offer the
hypothesis that the ACC supports the selection and execution of complex
behaviours over time, such as the decision to run up a mountain rather than
remain home on the sofa. Lesions to the ACC result in more immediate responses
rather than the ability to carry out extended and often costly behaviours.
Options supported by the ACC may provide excitatory input to the dorsolateral.
The orbitofrontal is seen as being involved in this circuit by providing
positive or negative evaluations for the options for actions found in the ACC.
The ventral striatum of the basal ganglia is seen as supporting individual
steps towards the longer term options selected by the ACC.
20 FEBRUARY 2012 CONSCIOUSNESS, THE SELF & ALTERED STATES
Neural correlates of the
psychedelic state as determined by fMRI studies with psilocybin
www.pnas.org/cgi/doi/10.1073/pnas.1119598109
Keywords: psilocybin,
altered states of consciousness, thalamus, cingulate cortex
INTRODUCTION: This
paper further undermines the persistent claim within mainstream consciousness
studies that all that needs to be done is to deconstruct the self (a relatively
easy process) and then declare the consciousness problem solved. Altered states
of consciousness have always appeared to contradict this claim, but the
evidence of this was at a rather anecdotal level. Compiled by several prominent
universities, this paper demonstrates that it is likely that the self can be deactivated by a
drug while the subject continues to have conscious experiences.
In this paper,
the authors use psilocybin, the active compound in so-called 'magic mushrooms' to
study the transition from a normal to an altered state of consciousness. The
authors were surprised that a markedly altered state correlated with a
reduction in blood flow and BOLD signal, rather than their expectation of
increased neural activity. The biggest reductions in blood flow and BOLD were
observed in the thalamus and the cingulate cortex. The larger the decrease
observed, the greater was the reported strength of the subjective experiences.
In particular, psilocybin caused a large decrease in interaction between the
medial prefrontal cortex and the posterior cingulate cortex. This is taken by
the authors to imply that the altered state correlates with decreased
connectivity between hubs involved in connecting and organising the brain.
In
this study, subjects receiving psilocybin were compared to a control group that
received a placebo. The psilocybin group demonstrated a significant decrease in
cerebral blood flow in parts of the thalamus, the posterior and anterior
cingulate cortex, the medial prefrontal cortex, the orbitofrontal, the frontal
operculum and a number of other brain regions. The decreases were localised in
associative regions or hub/connector regions such as the thalamus. In each area
of the brain that was studied the decrease in blood flow correlated to the
reported intensity of the subjective effect. A separate study based on the BOLD
signal showed regional decreases in the same areas as those that saw a decrease
in cerebral blood flow. The cingulate cortex
and the medial prefrontal are seen as being particularly implicated in the
action of psilocybin. A study with rats showed a decrease in local field
potentials after receiving psilocybin.
The authors consider the results of
their study unexpected and therefore in need of some explanation. Previous
studies had shown an increase in brain activity in terms of glucose metabolism,
and there has been as assumed connection between psychedelics and increased
neural activity. The authors suggest that stimulation of serotonin transmission
by the drug, leading to increases in GABA transmission, could in turn lead to
the inhibition of pyramidal cells, and the observed deactivation in some brain
areas.
The posterior cingulate and the medial prefrontal showed the most
consistent deactivation under psilocybin and are also areas that have a 20%
higher rate of metabolism than the rest of the brain. The study showed a
decrease in interaction between the posterior cingulate, and some theorists
have suggested that the posterior cingulate and the associated default-mode
network have a role in the experience of the 'self' or self-consciousness. The
default network of which the posterior cingulate is part also involves the
largest concentration of cortico-cortical connections in the brain.
Deactivation of such connections may relate to alterations in conscious states.
This idea is seen by the authors as being consistent with Aldous Huxley's idea
of the brain as a reducing valve. One possibility suggested is that
deactivation in frontal areas such as the posterior cingulate leads to enhanced
influence from sensory areas such as the parietal cortex.
From the point of
view of consciousness studies, this paper further undermines the persistent
claim in mainstream works that all that needs to be done was to deconstruct the
self (a relatively easy process), and then declare the consciousness problem
solved. Altered states of consciousness have always appeared to contradict this
claim, but the evidence of this was at a rather anecdotal level. This paper
based on research in prominent universities including Imperial College London
indicates that it is likely that the self can be wholly or partly deactivated
by a drug while the subject continues to have conscious experiences.
13 February 2012 REWARD AND DECISION CIRCUITS Neural
circuits of reward and decision making: Integrative networks across
corticobasal ganglia loops
Suzanne Haber
In:- Neural Basis of
Motivational and Cognitive Control – MIT Press (2011)
Keywords: reward circuit, dopamine, orbitofrontal,
anterior cingulate, ventral striatum
INTRODUCTION: This chapter emphasises the degree of
interface and cross-talk between the different segments of the reward circuit
and also between the reward circuit and the cognitive and motor areas.
The authors see the reward circuit as a basis
for decision making. This is supported by tests showing that rats would work
for electrical stimulation in particular brain areas. The orbitofrontal, anterior cingulate, and nucleus
accumbens are important components within this circuit, which also relates to
dopamine producing neurons in the ventral tegmental area (VTA). Recent research
extends involvement in the reward circuit to the whole of the ventral striatum
in which the nucleus accumbens is located and also to the separate dopamine
neurons of the substantia nigra.
The ventral striatum receives its main
input from the orbitofrontal and the anterior cingulate plus dopamine from the
VTA in the midbrain. The ventral striatum feeds back to the prefrontal areas
via the thalamus. This whole arrangement is referred to as the corticobasal
ganglia system and is central to the reward circuit.
The concept of the
corticobasal ganglia system is relatively new in neuroscience. In the past the
basal ganglia were seen only as part of the sensory-motor system, and were not
related to the reward circuit. It is now, however, thought that the basal
ganglia have separate loops for limbic, associative and sensorimotor functions.
Adaptive behaviour in the form of action plans and inhibition of harmful
behaviour is thought to depend on cross-talk between these loops. At each stage
of the reward circuit there is communication between different parts of the
reward circuit and also between the reward circuit and the associative circuit.
Inputs from the ventromedial prefrontal cortex, orbitofrontal cortex and
anterior cingulate terminate in sub-regions of the ventral striatum. The dorsal
and lateral regions of the ventral striatum receive inputs from the orbitofrontal.
There is increasing evidence of interfacing between terminals of different
cortical areas within this system. Thus projections from the orbitofrontal,
ventromedial prefrontal and anterior cingulate converge within regions of the
ventral striatum. It is suggested that coordinated activity of the
orbitofrontal, ventromedial and the anterior cingulate produced by this
convergence could generate the reward-based incentives for selecting particular
options. The ventral striatum projects strongly to the dopamine neurons in the
midbrain, and this is thought to play a part in the evaluation of rewards and
the modification of responses to stimuli over time.
The reward network does
not operate in isolation, but also interfaces with the cognitive and motor
circuits. This integration occurs in convergence zones. In this way reward
information can influence cognitive activity and motor action, once again
facilitated by dopamine pathways.
7 FEBRUARY 2012 DOPAMINE AND MOTIVATION
The
influence of dopamine in generating action from motivation
Mark Walton,
Jerylin Gan & Paul Phillips
Neural Basis of Motivational and Cognitive
Control - MIT Press (2011)
Keywords: dopamine, midbrain, basal ganglia, nucleus
accumbens, opioid neurotransmitters
INTRODUCTION: The release of dopamine into the striatum and
particularly the nucleus accumbens is closely related to the subjective
evaluation of sensory inputs, and to the subsequent selection of behaviour and
actions.
The authors start by referring to a distinction between the
evaluation of reward, and the process of deciding to obtain, and then acting to
obtain a reward. It is suggested that much twentieth century research fell
short in not paying attention to the internal motivation of subjects. The
authors acknowledge that several regions of the brain may be implicated; their
emphasis here is concentrated on the striatum, particularly the nucleus accumbens
and also dopamine projections.
The dopamine projection to the nucleus
accumbens come from the ventral tegmental area (VTA) in the midbrain. Dopamine
is a modulatory neurotransmitter often associated with the modulation of the
excitatory neurotransmitter, glutamine. There is particularly dense innervation
of the striatum by dopamine. Release of dopamine and availability of dopamine
receptors in the nucleus accumbens is associated with drug addiction and also
with compulsive shopping, eating and gambling.
A good deal of past research
has concentrate on the role of dopamine in the selection of isolated rewards,
rather than the more realistic situation of subjects assessing competing
rewards and associated uncertainty as to the costs and probabilities of
obtaining particular rewards. Recent studies, however, point to a correlation
between the firing of dopamine neurons and the size and probability of
particular rewards. Some studies also suggest a connection between dopamine
activity and the timing of future rewards. Dopamine is seen as important in
allowing the subject to exert the effort needed to obtain a particular reward.
Dopamine release is viewed by the authors as facilitating, but not controlling,
responses that seek potentially costly rewards. It is seen as a motivation to
seek novel options and potential future rewards.
Evidence suggests that
dopamine is involved in signalling the availability of reward. This is partly
related to the prediction of reward, but also to actions directed towards
gaining rewards. Additionally, the release of dopamine from the VTA can
increase the probability of a reward being sought. In situations where there is
conditioning, dopamine release can change from being directly related to the arrival
of the reward, to being merely something that predicts the future probability
of the reward. Dopamine activity can also increase where a reward is either
above or below the predicted level, being thus an indicator for error
predictions. The authors see dopamine in the nucleus accumbens as being
important in making reward predictions when the subject is encountering an
uncertain environment. However, this is viewed as only one influence on the
subject's actions.
30 JANUARY 2012 ARGUMENT FOR THE PHYSICAL NATURE OF FREEWILL
Where
has your willpower gone
Roy Baumeister, Florida State University
New
Scientist, 28 January 2012
Keywords: Free will, will power, self control,
emotions, neurotransmitters
INTRODUCTION:
It is quite encouraging to find Baumeister writing on free will or self
control in a popular science magazine, given that as a psychologist, he is a
long way from the mainstream's reliance on a simplistic interpretation of the
Libet experiments. Although the article is given a rather reductionist spin,
stressing that will power is driven by glucose based energy, its arguments are
fatal for the deterministic establishment view as to the non-existence of free
will.
In contrast to the mainstream view that there is no such thing as
free will, with unconscious and deterministic computations responsible for all
human actions and behaviour, Baumeister argues that free will or self control
requires energy, and is therefore part of the physical processing of the brain,
rather than an illusion as the mainstream would have it.
Baumeister states
that research demonstrates that when subjects have had to exert self control,
they perform poorly on a subsequent test of self control. It is argued that
energy is depleted by the first exercise of self control leaving less available
for the second attempt.
In one such test, subjects were left next to a table
with chocolate biscuits, which they were not supposed to eat. Some of the
subjects succumbed to temptation and ate the biscuits. Subsequently, both the
subjects who had succumbed and those who had resisted attempted a puzzle, which
unbeknown to them was unsolvable. Those who had resisted the biscuit temptation
gave up sooner on the puzzle, suggesting that their mental energy had been
depleted by the effort of resisting temptation.
In this context, will power
is compared to a muscle that can tire, although its full energy can return
after a period of recuperation. Baumeister proposes that the energy driving
will power is ultimately based on glucose that is the basis of
neurotransmitters instructing axons to fire. A meta-analysis performed in 2010
showed that as in the tests mentioned earlier, subjects' performance
deteriorated between a first and second self control test. However subjects
dosed with glucose after the first test performed well on the second test.
26 JANUARY 2012 MATHEMATICAL PROBLEMS WITH INFLATION THEORY
Death
of the eternal cosmos
Lisa Grossman/based mainly on Alexander Vilenkin
New
Scientist, 14 January 2012
The fashionable theory of eternal inflation at
the beginning of the universe has been used to explain both the fine tuning of
the laws of nature and to allow for string theory having 10500
solutions.
Alexander Vilenkin of Tufts University has examined the equations
relating eternal inflation to the Hubbke constant describing the expansion of
the universe in Physical Review Letters, DOI: 10,1103/physrevlett.90.151301.
The conclusion is that it is impossible to have a spacetime with this property,
as the constant has a limit that prevents inflation. The same sort of constraint
applies to the idea of cyclic universes going through endless Big Crunches
followed by Big Bangs. From this Vilenkin concludes that there is no
possibility of a universe that did not have a definite beginning.
25 JANUARY 2012 DESPAIR WITH POPULAR SCIENCE TREATMENT OF CONSCIOUSNESS Perhaps
we should despair of modern consciousness, studies or at least ban it from
appearing in popular magazines. A quarter century on from the lifting of the
complete taboo on mentioning consciousness in scientific circles, a popular
article in a popular science magazine (which often does good stuff on other
subjects) can come over as a mixture of
error, misrepresentation in the early stages, followed by a move to peripheral topics
which could never by themselves explain consciousness.
The first part of the
article takes the familiar route of looking at Penrose's ideas, and then
quickly demonstrating how they are wrong. Except unfortunately that these
arguments are also in error. The ancient argument that microtubules can't
support consciousness because they are present in all cells in the body and not
just neurons is trundled out. While much of consciousness studies is painfully
complex, here there is a simple answer, to the effect that microtubules are
denser and more stable in neurons, making them more suitable for information
processing than the cells in the rest of the body.
Not content with this,
the article goes on to make a double misrepresentation as to why quantum consciousness
theories are unpopular. The article correctly states that 'almost everyone
researching consciousness rejects the quantum computing theory' but
misrepresents the reason for this. It is claimed to be because invoking one
mystery (quantum theory) to explain another (consciousness) gets you nowhere.
This lets down the less well informed reader, for the reason that Penrose never
proposed that because quantum theory was a mystery, it was a good basis for
explaining another mystery. This was a criticism, or rather just a piece of
ridicule coined by the philosopher, David Chalmers, in the 1990s, but
tirelessly repeated by the more superficial critics of quantum consciousness.
In fairness to mainstream consciousness studies, there are more serious reasons
for arguing against quantum consciousness, but these are not touched on in this
article.
Another misunderstanding here is the suggestion that Penrose's
theory was proposing neural correlates of consciousness, whereas it was
proposing the basis of mathematical understanding later extended to cover
consciousness itself rather than a correlate, which is simply a feature found
in the same times or places as consciousness. There is, an in itself
interesting, section on building up knowledge of which brain areas react to
which images an actual image of what the brain is looking at. This is a
tremendous tour de force technically, but tells us precisely nothing about why
these brain activities produce consciousness.
Having whiled away a good deal
of space discussing potential correlates of consciousness, the article ends on
a curious note. It is suggested that scientists will never find the correlates
of consciousness. Why? Because, we are told, there is no difference between
conscious and unconscious processing, and as a result the whole idea of
consciousness, or possibly just the idea of consciousness being a problem (which
of these isn't really clear) is a function of muddled thinking. This seems
wrong on first principles, because we know that some systems of activity in the
brain are necessary for consciousness, (for instance the global gamma
synchrony) and systems of activity lacking this are not conscious. Being
conscious is a different for the subject from not being conscious and is
produced by different systems of activity (as opposed to specific brain areas
referred to in this article), and on this basis it is impossible to refer to
the two as being the same.
|
|