The aim of my research is to uncover the principles underlying neural computation with precisely timed spikes. This is a form of computation specific to the brain, being radically different to both digital and analogue computation. I have developed several software tools for working with spiking neurons, notably the "Brian" spiking neural network simulator. My focus is on sensory processing of complex, realistic stimuli, primarily in the auditory system.
For more information, see my group webpage, the Neural Reckoning Group.
et al., 2018, Code generation in computational neuroscience: A review of tools and techniques, Frontiers in Neuroinformatics, Vol:12, ISSN:1662-5196
Stimberg M, Goodman D, Nowotny T, 2018, Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware
Hathway P, Goodman DFM, 2018, [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains, Rescience, Vol:4, ISSN:2430-3658
Zheng JX, Pawar S, Goodman DFM, 2018, Graph Drawing by Stochastic Gradient Descent
et al., 2018, A framework for testing and comparing binaural models, Hearing Research, Vol:360, ISSN:0378-5955, Pages:92-106