Imperial College London

Dr Dan Goodman

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

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

 
 
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Location

 

1001Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

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.

Publications

Journals

Blundell I, Brette R, Cleland TA, 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

Dietz M, Lestang J-H, Majdak P, et al., 2018, A framework for testing and comparing binaural models, Hearing Research, Vol:360, ISSN:0378-5955, Pages:92-106

More Publications