Skip to main content

Replicate brain modules' computations with Artificial Neural Networks

Project description

Intro

My approach to brain simulation

  1. Identify a list of computational modules in the brain
  2. For each module
    1. Understand what it computes: input -> output
    2. Get training data (synthetic or real-world)
    3. Train artificial neural networks to replicate its functionality
  3. Combine modules

Why?

  • Biological plausibility is a trap, simulating spikes and neural transmitters does not help us understand how brain generates intelligence

  • Analogy: considering transistor physics is irrelevant to understanding how a computer computes a + b -- they are on different isolated levels of abstractions, they do not depend on one another to work

  • Current works in AI are mainly focused on solving daily-life tasks (text, image/video, game playing) -- I want to use these technologies to understand the brain

  • It is well proven that ANNs can produce intelligence (LLMs, RL agents) -- making them qualified to model modules in the brain

List of computational modules in the brain

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brain_modules-0.0.2.tar.gz (2.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

brain_modules-0.0.2-py3-none-any.whl (2.1 kB view details)

Uploaded Python 3

File details

Details for the file brain_modules-0.0.2.tar.gz.

File metadata

  • Download URL: brain_modules-0.0.2.tar.gz
  • Upload date:
  • Size: 2.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for brain_modules-0.0.2.tar.gz
Algorithm Hash digest
SHA256 40a9db4bce0e766ba56b30323853afb302085be7b60a7264c978ad84d14d4565
MD5 3c04bf09fa3de776bc4d771f15d445f0
BLAKE2b-256 5585aba1c7f1a87819ecd4344a55cdeb236d62d613aecc9240c862c4b2abc578

See more details on using hashes here.

File details

Details for the file brain_modules-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: brain_modules-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 2.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for brain_modules-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 03ae9463b7f0bd0610e2ca36afa3d53565ba59fc0ceadadaa1470394a6e59cec
MD5 8365a974d5cc2ab50bc8a4a2777d3418
BLAKE2b-256 9d920b8bca3c1b0638c2539b31b0a6da5ce8314e209a8d8fcab02d13ebfa8e21

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page