Single Neuron Memories and the Network's Proximity Matrix

Abstract

This paper extends the treatment of single-neuron memories obtained by the B-matrix approach. The spreading of the activity within the network is determined by the network's proximity matrix which represents the separations amongst the neurons through the neural pathways.

10 pages

References in corpus (3)

• Are Quantum Computing Models Realistic?
• Artificial and Biological Intelligence
• Memory Retrieved from Single Neurons

Cited by in corpus (8)

• Another Look at Quantum Neural Computing
• Active Sites model for the B-Matrix Approach
• Memory Capacity of a Random Neural Network
• Delta Learning Rule for the Active Sites Model
• Location of Single Neuron Memories in a Hebbian Network
• Using Variable Threshold to Increase Capacity in a Feedback Neural Network
• Interplay: Dispersed Activation in Neural Networks
• Memory Retrieval in the B-Matrix Neural Network