Competitive and Temporal Inhibition Structures with Spiking Neurons

The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated stable states in response to different stationary inputs as well as controllable transient responses. A VLSI-viable implementation of this model has been previously proposed and tested [1]. It has the possibilityof modulating the output spike frequencybyan additional input without affecting other neuron variables such as the membrane potential.This feature is exploited in the simulation of a Selective Temporal Inhibition network that is suitable for implementing attentional control systems. Key words: spiking neurons, competitive processing, temporal inhibition, attentional control mechanisms, bio-inspired neural systems.

• Type: Journal
• Year: 2000
• Where: NPL
• Authors: Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-Smith, Ignacio Rojas, D. Palomar, Alberto Prieto
• Keywords: Competitive Neural Structures, NPL 2000, Spiking Neural Model, Temporal Inhibition