Gain Modulation in neural systems with feedback, feed forward and recurrent connectivity

Aim

The way nerve responses combine and interact is fundamental to how the nervous system extracts and processes information and underlies a range of functions, including sensory perception, sensory-motor integration, attentional processing, object recognition and navigation. However, the neural mechanisms underlying these functions are poorly understood. This project examines the mechanisms by which neural systems modulate, control and stabilize their responses, using mathematical techniques and computational simulations.

Description

Research to date has focussed on the stabilization of responses in neural systems that are organised as a sequence of layers. Such layered neural systems make up the pathways in the brain responsible for sensory information processing. This information is believed to be carried within a pathway by a modulation of the neural responses within each layer. Using mathematical techniques we have identified the conditions under which such modulation is stabilised throughout a pathway. We have also investigated these layered neural systems with computer simulations which support our mathematical results. They also shed light on more complex phenomena present in these systems, concerning the timing of neural responses, which we plan to investigate further.

The project addresses fundamental cross-disciplinary issues of control and information processing in large, distributed neural systems that are at the cutting edge of research into intelligent processing systems. Potential applications are in rapidly growing fields of robotics, machine learning, adaptive control and intelligent systems. Applications to cochlear implant speech processing will provide benefit for the hearing impaired.

People

Dr Chris Trengove	Prof Tony Burkitt
Dr David Grayden