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Brain models need brain science

John Ball
Pat Inc
Published in
5 min readDec 10, 2024

to create a feedback loop

The scientific method is needed to follow puzzles, like how our brain works, towards a working model. Photo by Vlad Tchompalov on Unsplash

The model of a brain as a processor doesn’t stand up to scrutiny. People who use that model often qualify it by saying it isn’t like a computer with a disk and memory, but it is still computational.

Unfortunately, you can’t say the brain is a processor without getting concepts like encoded storage in binary, instructions, programs, data, and many more. If you know what a computation is, how can a brain be a computational machine, but not computational?

It’s a strange twist that those who promote the computational model get the computer analogy in a brain whether wanted or not! Our brains work on analogies.

A Processing Example

One of the scientists I have followed closely is Steven Pinker. He has written excellent descriptions of today’s problems in emulating human language that are still unsolved, outside of Patom theory, my brain theory. In his book The Language Instinct he shows an example with neural gates that compute word forms for critique below:

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Pat Inc
Pat Inc

Published in Pat Inc

A scientific breakthrough in #ConversationalAI. Meaning-based NLU vs. Deep Learning Intent NLU. Sign up for early access: https://pat.ai/

John Ball
John Ball

Written by John Ball

I'm a cognitive scientist working on NLU (Natural Language Understanding) systems based on RRG (Role and Reference Grammar). A mouthful, I know!

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