Learning Based on CC1 and CC4 Neural Networks

TL;DR

This paper introduces a learning system inspired by human cognition, utilizing CC1 and CC4 neural networks to model sensory and short-term memory functions in a biologically plausible way.

Contribution

It proposes a novel framework combining three agents for different memory types and explores CC1 and CC4 networks as models for sensory and short-term memory.

Findings

CC1 and CC4 networks effectively model sensory and short-term memory.

The three-agent system captures key aspects of human cognition.

Potential for improved biologically inspired learning systems.

Abstract

We propose that a general learning system should have three kinds of agents corresponding to sensory, short-term, and long-term memory that implicitly will facilitate context-free and context-sensitive aspects of learning. These three agents perform mututally complementary functions that capture aspects of the human cognition system. We investigate the use of CC1 and CC4 networks for use as models of short-term and sensory memory.