The Neural Reckoning Group is led by Dan Goodman. It is part of the Intelligent Systems and Networks group in the Department of Electrical and Electronic Engineering at Imperial College London. Follow us on Twitter @neuralreckoning.
We aim to understand the brain, and intelligent behaviour more widely, via theoretical and computational models.
We are particularly interested in sensory processing, primarily the auditory system, where our goal is to understand how we make sense of complex, natural environments.
One of the most striking operating principles of the brain is the use of highly connected, parallel networks of neurons communicating via precisely timed, discrete neural impulses (called "spikes"). This spike-based form of computation is specific to the brain, being radically different to conventional digital and analogue computation. We wish to uncover the principles underlying spike-based neuronal computation, both as a fundamental research problem and with an eye to wider applications in intelligent systems.
Underlying much of our work is neuroinformatics, or the application of computational methods in neuroscience. We are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software).
Stimberg M, Goodman DFM, Nowotny T
Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware.
Hathway P, Goodman DFM
[Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
Dietz M, Lestang J-H, Majdak P, Stern RM, Marquardt T, Ewert SD, Hartmann WH, Goodman DFM
A framework for testing and comparing binaural models.
Hearing Research doi: 10.1016/j.heares.2017.11.010
Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L
Effects of gamification and active listening on short-term sound localization training in virtual reality.
Zheng JX, Pawar S, Goodman DFM
Graph Drawing by Stochastic Gradient Descent.
Goodman DFM, Winter IM, Léger AC, de Cheveigné A, Lorenzi C
Modelling firing regularity in the ventral cochlear nucleus: mechanisms, and effects of stimulus level and synaptopathy.
Hearing Research doi: 10.1016/j.heares.2017.09.010
Rossant C, Kadir SN, Goodman DFM, et al.
Spike sorting for large, dense electrode arrays.
Nature Neuroscience doi: 10.1038/nn.4268
Goodman DFM, Benichoux V, Brette R
Decoding neural responses to temporal cues for sound localization.
Fontaine B, Goodman DFM, Benichoux V, Brette R
Brian Hears: online auditory processing using vectorisation over channels.
Frontiers in Neuroinformatics 5:9. doi: 10.3389/fninf.2011.00009
Goodman DFM, Brette R
Spike-timing-based computation in sound localization.
PLoS Computational Biology 6(11): e1000993. doi:10.1371/journal.pcbi.1000993
Goodman DFM, Brette R
The Brian simulator.
Frontiers in Neuroscience 3(2), doi:10.3389/neuro.01.026.2009