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Neurons not a switch
The secret power of the cell
Brian, J. Ford, Gonville and Caius, Cambridge University
New Scientist, 24 April 2010 (based on a paper in Interdisciplinary Science Reviews, vol. 34, p. 350)
INTRODUCTION:
Ford argues that neuroscience has made a big mistake in viewing the
neuron as a simple on/off switch, and concentrating its attention on the
relationship between neurons, rather than understanding the neurons
themselves. He points to the autonomous and intelligent-type behaviour
of single cell organisms, and suggests that the capacities of the brain
are based on the processing of individual neurons. This is reminiscent
of Penrose's 1994 discussion of the abilities of single cell organisms,
which was seen as an argument for quantum computing, within the complex
quantum bonds of protein and water that make up individual cells.
Ford
discusses the extent to which single cell organisms manifest autonomous
and intelligent-type behaviour. He points out how some species of algae
display a problem solving capacity, while other single cell organisms
build symmetrical shells out of grains of sand. He also indicates the
degree to which individual cells in the body are autonomous, responding
to current conditions, without needing instructions from the brain.
In
looking at the brain and neurons, Ford is critical of the strongly
entrenched orthodoxy of modelling the immensely complex neurons as
simple on/off switches. This is the more curious, in that much modern
research is directed at the complex proteins of the cell interior. Ford
wonders why neurons are allotted such a simplistic role, when single
cells demonstrate the capacity for such complex activity. He points out
how neuroscience is interested in the relationship between neurons,
rather than neurons themselves.
He further hypothesises that the
effectiveness of the brain will eventually be discovered to derive more
from processing within neurons than from the relationship between them.
He views the action potentials that set off the movement of
neurotransmitters from one neuron to the next, as a language that
neurons use to transmit data that they have already processed. He
regards the brain not as a supercomputer, but as a community of
microscopic computers. Attempts to develop artificial intelligence and
robotics based on the neuron as a switch are therefore seen as a
grandiose failure, a view that seems to be supported by a half century
of disappointment with attempts to develop autonomous robots.
Finally,
Ford recalls an eerie experiment in which the 40 Hz gamma synchrony,
viewed as a correlate of consciousness in much conventional
neuroscience, was adjusted to a frequency compatible with the human ear.
He relates how this produced a sound with the hypnotic quality of the
calls of seabirds, and a sense that each axon spike was modulating a
discrete signal within itself.
To some, the discussion of
capacities of single cells may sound familiar. In fact, the point was
made by Penrose as far back as 1994, when he remarked on the
sophisticated autonomous abilities of the single-cell paramecium. The
proposal here was that single-cell organisms can achieve sophisticated
behaviour, without the help of brains or nervous systems. This is
suggested to be because individual cells utilise quantum computing based
on cytoskeletal structures that are suited to information processing
and on the complex web of quantum bonds within the protein and water
that comprises the cells.
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