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.
Hathway P, Goodman DFM, [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains, Rescience, ISSN:2430-3658
Zheng JX, Pawar S, Goodman DFM, Graph Drawing by Stochastic Gradient Descent
et al., 2018, A framework for testing and comparing binaural models., Hear Res, Vol:360, Pages:92-106
et al., 2018, Modelling firing regularity in the ventral cochlear nucleus: Mechanisms, and effects of stimulus level and synaptopathy, Hearing Research, Vol:358, ISSN:0378-5955, Pages:98-110
Goodman DFM, Stimberg M, Brette R, 2016, Brian 2.0 simulator, v.2.0