In ‘Self-knowledge as an
imperative with comments by David Parker’’ (on my website) I write: ‘When we
become aware of the profound discrepancy between our physical brain and the
world of our consciousness, we realize that there must be another entity,
different from the brain, which transforms the data processed in the brain into
the world of our consciousness. The process of this transformation is entirely
subconscious. Our conscious activities are focussed on and absorbed by the task
of perceiving the world, as constituted by our subconscious activities, as the
real world outside us in which we live.’
David remarks: I don’t follow the debates about consciousness and the
nervous system that closely. Much of what neuroscientists add to this seems
very trivial. Philosophy of mind is interesting but again I haven’t studied
this in any depth. But is the assumption that consciousness is an emergent
property of the integrated activity of neurons in various brain regions
(integrated from different senses, motivational, emotional aspects, memory,
current planning strategies) to be simply dismissed? And if so, why?
I find ‘the
assumption that consciousness is an emergent property of the integrated
activity of neurons in various brain regions’ meaningless. I don’t mean that
the words strung together have no meaning. Trying to imagine the ‘emerging’ consciousness,
I cannot help thinking of the Genie emerging from the lamp in Disney’s video of
Aladdin, which I watched the other
day with my daughter. But, on second thought, the Genie is not a property of
the thing from which he emerges. Would the ring that Gandalf throws into fire in
the Fellowship of the Ring, on which,
after its being pulled out of fire, the infamous inscription begins to emerge,
give us an example of an emergent property? – The words ‘emergent property’ lose
for me their meaning when I think of consciousness in connection with neurons
and their activities.
Wikipedia
succinctly describes neurons as follows: ‘A typical neuron consists of a cell body (soma), dendrites,
and an axon.
Dendrites are thin structures that arise from the cell body, often extending
for hundreds of micrometres and branching multiple times, giving rise to a
complex "dendritic tree". An axon is a special cellular extension
that arises from the cell body at a site called the axon
hillock and
travels for a distance, as far as 1 meter in humans or even more in other
species. The cell body of a neuron frequently gives rise to multiple dendrites,
but never to more than one axon, although the axon may branch hundreds of times
before it terminates. At the majority of synapses, signals are sent from the
axon of one neuron to a dendrite of another. There are, however, many
exceptions to these rules: neurons that lack dendrites, neurons that have no
axon, synapses that connect an axon to another axon or a dendrite to another
dendrite, etc.’
Wikipedia
characterizes the functional properties of neurons as follows: ‘All
neurons are electrically excitable, maintaining voltage gradients across their membranes by means of metabolically driven ion
pumps, which combine with ion
channels embedded in the membrane to generate
intracellular-versus-extracellular concentration differences of ions such as sodium, potassium, chloride,
and calcium.
Changes in the cross-membrane voltage can alter the function of voltage-dependent ion channels. If
the voltage changes by a large enough amount, an all-or-none electrochemical
pulse called an action
potential is
generated, which travels rapidly along the cell's axon, and activates synaptic
connections with other cells when it arrives.’
Wikipedia
succinctly describes neural networks as follows: ‘A neural network is a series of interconnected neurons whose
activation defines a recognizable linear pathway. The interface through which
neurons interact with their neighbours usually consists of several axon terminals connected via synapses to dendrites on other neurons.’
Let me now confront these properties of
neurons and neural networks with what I am presently conscious of. In front of me is a key-board. The keys are
black, on the keys are white letters; the primitive ‘sorting’ of these features
begins on retina by cones, sensitive to different wavelengths of the
electromagnetic waves scattered by the key-board. I see the square shapes of
the keys, different shapes of the white imprints on the keys, which I see as
different letters, numbers, punctuation marks – all this involves a lot of
neural networks in the visual centre, for ‘receptors in the eye convey
information about only a miniscule part of the retinal image, in effect a
single pixel; but after a few levels have been passed, in the visual cortex, we
find units that are able to respond to a specific type of stimulus, such as a
moving edge, over wide areas of visual field’, as Carpenter and Reddi put it in
their Neurophysiology (p.10). While
being aware of all this, I am typing, which involves networks of motor neurons. As I type, my sense of touch and
hearing is involved … How can I possibly view the key-board in front of me and
all that is involved in my typing this text on it as ‘an emergent property of the
integrated activity of neurons in various brain regions’?
It may be
objected: I can take a picture of the scene I am involved in or video it, and
the artificial neural networks in the camera immediately generate a picture or
a video of it on its screen. Why can’t the neural networks do the same?
To this
objection I reply: The ‘neural networks’ in the camera electronically pick up
the image from the camera’s pick up device, digitally process it and reproduce
it on the screen of the camera. But the image the camera thus generates exists
on its screen only for a human eye, not for the screen; it is not generated as
a picture anywhere in the artificial neural networks involved in the digital
processing of the picture. But I see the key-board, I am not only aware of my
typing the text on it, I constantly monitor it on the computer screen, I am thinking
about it as I am producing the text; all this is intimately connected with the
activities of neural networks that are involved in all this, but these
conscious activities are not their emergent property.
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