Imperial College London

Dr Dan Goodman

Faculty of EngineeringDepartment of Electrical and Electronic Engineering




+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.



Rossant C, Kadir SN, Goodman DFM, et al., 2016, Spike sorting for large, dense electrode arrays, Nature Neuroscience, Vol:19, ISSN:1097-6256, Pages:634-+

Kadir SN, Goodman DFM, Harris KD, 2014, High-Dimensional Cluster Analysis with the Masked EM Algorithm, Neural Computation, Vol:26, ISSN:0899-7667, Pages:2379-2394

Stimberg M, Goodman DFM, Benichoux V, et al., 2014, Equation-oriented specification of neural models for simulations., Front Neuroinform, Vol:8, ISSN:1662-5196

Goodman DFM, Benichoux V, Brette R, 2013, Decoding neural responses to temporal cues for sound localization., Elife, Vol:2, ISSN:2050-084X


Goodman DFM, Stimberg M, Brette R, 2016, Brian 2.0 simulator, v.2.0

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