Neural Network Architectures for Cognitive Computing

Abstract

This paper explores novel neural network architectures designed to emulate human cognitive processes, with a focus on attention mechanisms and hierarchical processing structures. We propose a new framework for cognitive computing that integrates insights from neuroscience with advanced deep learning techniques.