Daniel Bush - Research Student
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Phone Location Webpage Supervisor: |
++44 (1273) 87-2945 JMS 3D8 db67@sussex.ac.uk Phil Husbands |
| Search the CCNR bibliography for papers by Daniel Bush | ||
Research Interests
My research is focussed on developing abstract, artificial neural network models of human associative memory that are consistently informed by contemporary neurobiology. This involves a consideration of how synaptic plasticity rules, embedded within recurrent network architectures, can implement attractor dynamics, in order to store patterns of input activity and then recall them at a later date from incomplete or noisy cues. This approach is inspired by the hypothesised function of the hippocampus in integrating a wide range of sensory and idiothetic information, in order to formulate episodic memories and cognitive maps. The models which I have developed incorporate a variety of spike-timing dependent plasticity (STDP) implementations, spiking neural dynamics, theta frequency neuromodulation and several additional mechanisms which can induce competition between synapses.