Superseding the Synaptic Network: Cellular Complexity Transcends the Digital Neuron || Brian J Ford

Описание: This presentation was delivered by Brian J Ford, Hon FRMS, Hon FLS, during an online conference on Sunday, December 17, 2023. Science & Scientist 2023 | Life & Cognition at the Intersection of Science, Philosophy, & Religion (https://bviscs.org/ss23/)

BIO | Fellow of Cardiff University since 1986. Independent research biologist, author, and lecturer, publishing on scientific issues for the general public. Television personality for over 40 years. International authority on the microscope. Received the Ernst Abbe medal awarded by the New York Microscopical Society in 2020.

ABSTRACT | Current digital models of cerebral function conceive of neurons as simplistic go- or no-go gates. They are regarded as organic transistors. My investigations over the decades have drawn a very different conclusion; namely, that the neuron is a largely autonomous cell of unimaginable complexity. Whereas current conceptions treat of neural networks, insisting that the centers of data processing lie with the synapses (and the large numbers of possible permutations which govern how they connect), my view is that data-processing is essentially intracellular. Rather than being discrete components in a grander network, neurons are envisioned as thinking for themselves. Examples of complex cognitive and sentient behavior drawn from the microbial realm substantiate the conclusion that cells are complex, and are far from the simple processing units we currently claim. It is not the brain that we can compare to a computer, the neurons being analogous to transistors. Rather, each individual neuron is far more sophisticated than the most advanced computer we know.

PROCEEDINGS | https://www.academia.edu/117033217/Li...

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