We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
A simple extension of standard neural network models is introduced which provides a model for neural computations that involve both firing rates and firing correlations. Such an ex...
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...