Imperial College London

Dr Dan Goodman

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer



+44 (0)20 7594 6264d.goodman Website




1001Electrical EngineeringSouth Kensington Campus





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.



Su Y, Chung Y, Goodman DFM, et al., 2021, Rate and Temporal Coding of Regular and Irregular Pulse Trains in Auditory Midbrain of Normal-Hearing and Cochlear-Implanted Rabbits, Jaro-journal of the Association for Research in Otolaryngology, Vol:22, ISSN:1525-3961, Pages:319-347

Achakulvisut T, Ruangrong T, Mineault P, et al., 2021, Towards democratizing and automating online conferences: lessons from the neuromatch conferences, Trends in Cognitive Sciences, Vol:25, ISSN:1364-6613, Pages:265-268

Zheng JX, Pawar S, Goodman DFM, 2021, Further towards unambiguous edge bundling: Investigating power-confluentdrawings for network visualization, Ieee Transactions on Visualization and Computer Graphics, Vol:27, ISSN:1077-2626, Pages:2244-2249

Zenke F, Bohté SM, Clopath C, et al., 2021, Visualizing a joint future of neuroscience and neuromorphic engineering, Neuron, Vol:109, ISSN:0896-6273, Pages:571-575

Perez-Nieves N, Leung VCH, Dragotti PL, et al., 2020, Neural heterogeneity promotes robust learning

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