Year: 2006
Type: article
Abstract: Finding efficient patterns of connectivity in sparse associative memories is a difficult problem.It is, however, one that real neuronal networks, such as the mammalian cortex, must have solved.We have investigated evolved computational models of sparsely connected associative memories and found that some patterns of connectivity produce both good performance and efficient use of resources.This could illuminate how real biological systems solve the problem.
Authors: Rod Adams, Lee Calcraft, Neil Davey
Institution: University of Hertfordshire
Language: English
Topic: Memory and Neural Mechanisms
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2150791277