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., 2020, Improving on legacy conferences by moving online, Elife, Vol:9, ISSN:2050-084X
Stimberg M, Goodman D, Nowotny T, 2020, Brian2GeNN: accelerating spiking neural network simulations with graphics hardware, Scientific Reports, Vol:10, ISSN:2045-2322, Pages:1-12
Chu Y, Luk W, Goodman D, 2020, Learning Absolute Sound Source Localisation With Limited Supervisions
et al., 2019, Short-term effects of sound localization training in virtual reality, Scientific Reports, Vol:9, ISSN:2045-2322
Zheng JX, Pawar S, Goodman DFM, 2019, Further towards unambiguous edge bundling: Investigating power-confluentdrawings for network visualization, Ieee Transactions on Visualization and Computer Graphics, ISSN:1077-2626