Dan Goodman
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- Lab member: 2014-
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PhD thesis
Boundaries of slices of quasifuchsian space - +44 (0)20 7594 6264
- Mastodon
- Bluesky
- Google Scholar
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Room 1001
Department of Electrical and Electronic Engineering
Imperial College
Exhibition Road
London SW7 2AZ
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Supervises:
AbdelQader AlKilany, Anna Obure, Yang Chu, Greta Horvathova, Iñigo Lara, Jatin Sharma, Kyle McMillan, Nicolás Dundov Muñoz, Yishu Zhang, Gabriel Béna, Pengfei Sun
Mentor to: Hardik Rajpal, Danyal Akarca, Swathi Anil
Bluesky feed
I am an associate professor in the Intelligent Systems and Networks group in the Department of Electrical and Electronic Engineering at Imperial College London.
The aim of my research is to uncover unifying principles underlying intelligent systems, including biological systems such as the brain, and artificial systems. My approach is to look at tasks that are complex and difficult enough to require a brain to solve them, but simple enough to be tractable. I am particularly interested in neurally inspired spatiotemporally sparse computations, such as computing with precisely timed spiking neural networks. 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.
I am also interested in open science and making science better. I host a list of freely available computational neuroscience resources. I co-founded Neuromatch with Konrad Kording. I was formerly an editor for the open access journals eLife, Neurons, Behavior, Data analysis, and Theory, and PCI Circuit Neuroscience, however I no longer do reviewing or editorial work. I discuss my ongoing work on reforming scientific publishing on my blog Zavarka.
A few people may also be interested in my former career as a mathematician.
Organisations
Software
Videos
Talks
Publications
2026
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Habashy KG, Evans BD, Goodman DFM, Bowers JS
Factorization and spatial encodings: a hypothesis about the foundations of the genomic code.
Preprint
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Ghosh M, Goodman DFM
(2026)
Partial recurrence enables robust and efficient computation.
Communications AI & Computing
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Rajpal H, Goodman DFM
Emergent Generalization by Representation Learning in Artificial Neural Networks.
Preprint
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AlKilany A, Goodman DFM
Neuromodulation enhances the capability and efficiency of spiking neural networks.
Preprint
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Sun P, Su Z, Achterberg J, Indiveri G, Goodman DFM, Akarca D
(2026)
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.
Nature Machine Intelligence
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Sharma J, Goodman DFM, Akarca D
Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks.
Preprint
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Yu Z, Sun P, Goodman DFM
(2026)
Beyond rate coding: surrogate gradients enable spike timing learning in spiking neural networks.
Neuromorphic Computing and Engineering
2025
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Sun P, Achterberg J, Su Z, Goodman DFM, Akarca D
Exploiting heterogeneous delays for efficient computation in low-bit neural networks.
Preprint
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Chu Y, Luk W, Goodman DFM
(2025)
Learning spatial hearing via innate mechanisms.
PLoS Computational Biology
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Goodman D
(2025)
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks.
The Transmitter
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Sun P, Achterberg J, Goodman DFM, Akarca D
(2025)
Long delays reduce the need for precise weights in spiking neural networks.
Cognitive Computational Neuroscience
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Béna G, Faldor M, Goodman DFM, Cully A
(2025)
A Path to Universal Neural Cellular Automata.
GECCO
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Ghosh M, et al.
(2025)
Spiking neural network models of interaural time difference extraction via a massively collaborative process.
eNeuro
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Anil S, Goodman DFM, Ghosh M
(2025)
Fusing multisensory signals across channels and time.
PLoS Computational Biology
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Goodman D
(2025)
Neuroscience needs to empower early-career researchers, not fund moon shots.
The Transmitter
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Goodman D
(2025)
Science must step away from nationally managed infrastructure.
The Transmitter
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Béna G, Goodman DFM
(2025)
Dynamics of specialization in neural modules under resource constraints.
Nature Communications
2024
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Habashy KG, Evans BD, Goodman DFM, Bowers JS
(2024)
Adapting to time: why nature may have evolved a diverse set of neurons.
PLoS Computational Biology
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Ghosh M, Béna G, Bormuth V, Goodman DFM
(2024)
Nonlinear fusion is optimal for a wide class of multisensory tasks.
PLoS Computational Biology
2023
2022
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Goodman D, Fiers T, Gao R, Ghosh M, Perez N
(2022)
Spiking Neural Network Models in Neuroscience - Cosyne Tutorial 2022.
Zenodo -
Weerts L, Rosen S, Clopath C, Goodman DFM
The Psychometrics of Automatic Speech Recognition.
Preprint
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Engel I, Goodman DFM, Picinali L
(2022)
Assessing HRTF preprocessing methods for Ambisonics rendering through perceptual models.
Acta Acustica
2021
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Perez-Nieves N, Goodman DFM
(2021)
Sparse spiking gradient descent.
Advances in Neural Information Processing Systems
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Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM
(2021)
Neural heterogeneity promotes robust learning.
Nature Communications
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Su Y, Chung Y, Goodman DFM, Hancock KE, Delgutte B
(2021)
Rate and Temporal Coding of Regular and Irregular Pulse Trains in Auditory Midbrain of Normal‑Hearing and Cochlear‑Implanted Rabbits.
Journal of the Association for Research in Otolaryngology
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Zenke F, et al.
(2021)
Visualizing a joint future of neuroscience and neuromorphic engineering.
Neuron
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Achakulvisut T, et al.
(2021)
Towards democratizing and automating online conferences: lessons from the Neuromatch conferences.
Trends in Cognitive Sciences
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Zheng JX, Pawar S, Goodman DFM
(2021)
Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization.
IEEE Transactions on Visualization and Computer Graphics
2020
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Achakulvisut T, et al.
(2020)
Point of View: Improving on legacy conferences by moving online.
eLife
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Achakulvisut T, Ruangrong T, Acuna DE, Wyble B, Goodman D, Kording K
(2020)
neuromatch: Algorithms to match scientists.
eLife Labs
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Stimberg M, Goodman DFM, Nowotny T
(2020)
Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware.
Scientific Reports
2019
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Lestang J-H, Goodman DFM
General neural mechanisms can account for rising slope preference in localization of ambiguous sounds.
Preprint
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Hathway P, Goodman DFM
(2019)
Neural Topic Modelling.
Cognitive Computational Neuroscience
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Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM
(2019)
Advantages of heterogeneity of parameters in spiking neural network training.
Cognitive Computational Neuroscience
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Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L
(2019)
Short-term effects of sound localization training in virtual reality.
Scientific Reports
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Weerts L, Clopath C, Goodman DFM
(2019)
A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features.
Cognitive Computational Neuroscience
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Stimberg M, Brette R, Goodman DFM
(2019)
Brian 2, an intuitive and efficient neural simulator.
eLife
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Engel I, Goodman DFM, Picinali L
(2019)
The Effect of Auditory Anchors on Sound Localization: A Preliminary Study.
Immersive and Interactive Audio -
Chu Y, Goodman DFM
(2019)
An Inference Network Model for Goal-directed Attentional Selection.
Cognitive Computational Neuroscience
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Stimberg M, Goodman DFM, Brette R, De Pittà M
(2019)
Modeling neuron-glia interactions with the Brian 2 simulator.
Springer
2018
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Chungeun K, Steadman M, Lestang JH, Goodman DFM, Picinali L
(2018)
A VR-Based Mobile Platform for Training to Non-Individualized Binaural 3D Audio.
Audio Engineering Society -
Goodman DFM, Winter IM, Léger AC, de Cheveigné A, Lorenzi C
(2018)
Modelling firing regularity in the ventral cochlear nucleus: mechanisms, and effects of stimulus level and synaptopathy.
Hearing Research
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Hathway P, Goodman DFM
(2018)
[Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
ReScience
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Zheng JX, Pawar S, Goodman DFM
(2018)
Graph Drawing by Stochastic Gradient Descent.
IEEE Transactions on Visualization and Computer Graphics
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Dietz M, et al.
(2018)
A framework for testing and comparing binaural models.
Hearing Research
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Zheng JX, Pawar S, Goodman DFM
(2018)
Confluent* Drawings by Hierarchical Clustering.
Graph Drawing and Network Visualization
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Blundell I, et al.
(2018)
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers in Neuroinformatics
2017
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Lestang JH, Goodman DF
(2017)
The roles of inhibition and adaptation for spatial hearing in difficult listening conditions.
Acoustical Society of America -
Dietz M, et al.
(2017)
An initiative for testability and comparability of binaural models.
Acoustical Society of America -
Goodman DF
(2017)
On the use of hypothesis-driven reduced models in auditory neuroscience.
Acoustical Society of America
2016
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Rossant C, et al.
(2016)
Spike sorting for large, dense electrode arrays.
Nature Neuroscience
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Dietz M, et al.
(2016)
A framework for auditory model comparability and applicability.
Acoustical Society of America
2015
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Goodman DFM, de Cheveigné A, Winter IM, Lorenzi C
(2015)
Downstream changes in firing regularity following damage to the early auditory system.
Computational Neuroscience
2014
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Kadir SN, Goodman DFM, Harris KD
(2014)
High-dimensional cluster analysis with the masked EM algorithm.
Neural Computation
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Stimberg M, Goodman DFM, Benichoux V, Brette R
(2014)
Equation-oriented specification of neural models for simulations.
Frontiers in Neuroinformatics
2013
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Rossant C, Fontaine B, Goodman DFM
(2013)
Playdoh: a lightweight Python package for distributed computing and optimisation.
Journal of Computational Science
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Goodman DFM, Benichoux V, Brette R
(2013)
Decoding neural responses to temporal cues for sound localization.
eLife
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Goodman DFM, Brette R
(2013)
Brian simulator.
Scholarpedia
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Goodman DFM, Brette R
(2013)
Brian Spiking Neural Network Simulator.
SpringerReference
2012
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Brette R, Goodman DFM
(2012)
Simulating spiking neural networks on GPU.
Network: Computation in Neural Systems
2011
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Brette R, Goodman DFM
(2011)
Vectorised algorithms for spiking neural network simulation.
Neural Computation
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Kremer Y, Léger J-F, Goodman D, Brette R, Bourdieu L
(2011)
Late emergence of the vibrissa direction selectivity map in the rat barrel cortex.
Journal of Neuroscience
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Rossant C, Goodman DFM, Fontaine B, Platkiewicz J, Magnusson AK, Brette R
(2011)
Fitting neuron models to spike trains.
Frontiers in Neuroscience
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Fontaine B, Goodman DFM, Benichoux V, Brette R
(2011)
Brian Hears: online auditory processing using vectorisation over channels.
Frontiers in Neuroinformatics
2010
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Goodman DFM, Brette R
(2010)
Spike-timing-based computation in sound localization.
PLoS Computational Biology
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Fletcher A, Goodman DFM
(2010)
Quasiregular mappings of polynomial type in R2.
Conformal Geometry and Dynamics
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Rossant C, Goodman DFM, Platkiewicz J, Brette R
(2010)
Automatic fitting of spiking neuron models to electrophysiological recordings.
Frontiers in Neuroinformatics
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Goodman DFM, Brette R
(2010)
Learning to localise sounds with spiking neural networks.
Advances in Neural Information Processing Systems
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Goodman DFM
(2010)
Code Generation: A Strategy for Neural Network Simulators.
Neuroinformatics
2009
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Brette R, Goodman D
(2009)
Brian: a simple and flexible simulator for spiking neural networks.
The Neuromorphic Engineer
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Goodman DFM, Brette R
(2009)
The Brian simulator.
Frontiers in Neuroscience
2008
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Goodman D, Brette R
(2008)
Brian: a simulator for spiking neural networks in Python.
Frontiers in Neuroinformatics
2006
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Goodman D
(2006)
Spirals in the boundaries of slices of quasifuchsian space.
Conformal Geometry and Dynamics
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Goodman DFM
(2006)
Boundaries of slices of quasifuchsian space.
PhD thesis, University of Warwick