Brains and pseudorandom generators
arXiv:1311.6531v3
Originality Synthesis-oriented
AI Analysis
This addresses a theoretical problem in computational neuroscience and cryptography, but appears incremental as it builds on prior models and questions.
The paper investigates whether the McCulloch-Pitts model of the central nervous system can be engineered to create pseudorandom number generators, based on EEG recordings, and provides evidence suggesting it cannot.
In a pioneering classic, Warren McCulloch and Walter Pitts proposed a model of the central nervous system; motivated by EEG recordings of normal brain activity, Chv\' atal and Goldsmith asked whether or not this model can be engineered to provide pseudorandom number generators. We supply evidence suggesting that the answer is negative.