2025

• Anil S, Goodman DFM, Ghosh M (2025)
  Fusing multisensory signals across channels and time.
  PLoS Computational Biology
• Béna G, Faldor M, Goodman DFM, Cully A
  A Path to Universal Neural Cellular Automata.
  Preprint
• Chu Y, Luk W, Goodman D
  Learning spatial hearing via innate mechanisms.
  Preprint
• Ghosh M, et al.
  Spiking neural network models of interaural time difference extraction via a massively collaborative process.
  Preprint
• Béna G, Goodman DFM (2025)
  Dynamics of specialization in neural modules under resource constraints.
  Nature Communications

2024

• 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
• Ghosh M, Béna G, Bormuth V, Goodman DFM (2024)
  Nonlinear fusion is optimal for a wide class of multisensory tasks.
  PLoS Computational Biology

2023

• Perez N, Goodman DFM
  Spiking Network Initialisation and Firing Rate Collapse.
  Preprint
• Perez N (2023)
  Robust and efficient training on deep spiking neural networks.
  PhD thesis, Imperial College London

2022

• 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

2021

• Perez-Nieves N, Goodman DFM (2021)
  Sparse spiking gradient descent.
  Advances in Neural Information Processing Systems
• Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2021)
  Neural heterogeneity promotes robust learning.
  Nature Communications
• 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
• Engel I (2021)
  Improving binaural audio techniques for augmented reality.
  PhD thesis, Imperial College London
• Achakulvisut T, et al. (2021)
  Towards democratizing and automating online conferences: lessons from the Neuromatch conferences.
  Trends in Cognitive Sciences
• Zenke F, et al. (2021)
  Visualizing a joint future of neuroscience and neuromorphic engineering.
  Neuron
• Weerts L (2021)
  Features of hearing: applications of machine learning to uncover the building blocks of hearing.
  PhD thesis, Imperial College London

2020

• Stimberg M, Goodman DFM, Nowotny T (2020)
  Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware.
  Scientific Reports
• Achakulvisut T, Ruangrong T, Acuna DE, Wyble B, Goodman D, Kording K (2020)
  neuromatch: Algorithms to match scientists.
  eLife Labs
• Achakulvisut T, et al. (2020)
  Point of View: Improving on legacy conferences by moving online.
  eLife
• Hathway P (2020)
  Biologically-inspired machine learning approaches to large-scale neural data analysis.
  PhD thesis, Imperial College London

2019

• Lestang J-H, Goodman DFM
  General neural mechanisms can account for rising slope preference in localization of ambiguous sounds.
  Preprint
• Stimberg M, Goodman DFM, Brette R, De Pittà M (2019)
  Modeling neuron-glia interactions with the Brian 2 simulator.
  Springer
• Chu Y, Goodman DFM (2019)
  An Inference Network Model for Goal-directed Attentional Selection.
  Cognitive Computational Neuroscience
• Engel I, Goodman DFM, Picinali L (2019)
  The Effect of Auditory Anchors on Sound Localization: A Preliminary Study.
  Immersive and Interactive Audio
• Stimberg M, Brette R, Goodman DFM (2019)
  Brian 2, an intuitive and efficient neural simulator.
  eLife
• Weerts L, Clopath C, Goodman DFM (2019)
  A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features.
  Cognitive Computational Neuroscience
• Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L (2019)
  Short-term effects of sound localization training in virtual reality.
  Scientific Reports
• Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2019)
  Advantages of heterogeneity of parameters in spiking neural network training.
  Cognitive Computational Neuroscience
• Lestang J-H (2019)
  The role of canonical neural computations in sound localization.
  PhD thesis, Imperial College London
• Hathway P, Goodman DFM (2019)
  Neural Topic Modelling.
  Cognitive Computational Neuroscience
• + 5 conference papers

2018

• Blundell I, et al. (2018)
  Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
  Frontiers in Neuroinformatics
• Dietz M, et al. (2018)
  A framework for testing and comparing binaural models.
  Hearing Research
• Hathway P, Goodman DFM (2018)
  [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
  ReScience
• 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
• 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
• + 1 conference paper

2017

• Goodman DF (2017)
  On the use of hypothesis-driven reduced models in auditory neuroscience.
  Acoustical Society of America
• Dietz M, et al. (2017)
  An initiative for testability and comparability of binaural models.
  Acoustical Society of America
• Lestang JH, Goodman DF (2017)
  The roles of inhibition and adaptation for spatial hearing in difficult listening conditions.
  Acoustical Society of America
• + 3 conference papers

2016

• Dietz M, et al. (2016)
  A framework for auditory model comparability and applicability.
  Acoustical Society of America
• Rossant C, et al. (2016)
  Spike sorting for large, dense electrode arrays.
  Nature Neuroscience
• + 1 conference paper

2015

• Goodman DFM, de Cheveigné A, Winter IM, Lorenzi C (2015)
  Downstream changes in firing regularity following damage to the early auditory system.
  Computational Neuroscience
• + 1 conference paper

2014

• Stimberg M, Goodman DFM, Benichoux V, Brette R (2014)
  Equation-oriented specification of neural models for simulations.
  Frontiers in Neuroinformatics
• Kadir SN, Goodman DFM, Harris KD (2014)
  High-dimensional cluster analysis with the masked EM algorithm.
  Neural Computation

2013

• Goodman DFM, Brette R (2013)
  Brian Spiking Neural Network Simulator.
  SpringerReference
• Goodman DFM, Brette R (2013)
  Brian simulator.
  Scholarpedia
• Goodman DFM, Benichoux V, Brette R (2013)
  Decoding neural responses to temporal cues for sound localization.
  eLife
• Rossant C, Fontaine B, Goodman DFM (2013)
  Playdoh: a lightweight Python package for distributed computing and optimisation.
  Journal of Computational Science

2012

• Brette R, Goodman DFM (2012)
  Simulating spiking neural networks on GPU.
  Network: Computation in Neural Systems

2011

• Fontaine B, Goodman DFM, Benichoux V, Brette R (2011)
  Brian Hears: online auditory processing using vectorisation over channels.
  Frontiers in Neuroinformatics
• Rossant C, Goodman DFM, Fontaine B, Platkiewicz J, Magnusson AK, Brette R (2011)
  Fitting neuron models to spike trains.
  Frontiers in Neuroscience
• 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
• Brette R, Goodman DFM (2011)
  Vectorised algorithms for spiking neural network simulation.
  Neural Computation

2010

• Goodman DFM (2010)
  Code Generation: A Strategy for Neural Network Simulators.
  Neuroinformatics
• Goodman DFM, Brette R (2010)
  Learning to localise sounds with spiking neural networks.
  Advances in Neural Information Processing Systems
• Rossant C, Goodman DFM, Platkiewicz J, Brette R (2010)
  Automatic fitting of spiking neuron models to electrophysiological recordings.
  Frontiers in Neuroinformatics
• Goodman DFM, Brette R (2010)
  Spike-timing-based computation in sound localization.
  PLoS Computational Biology

2009

• Goodman DFM, Brette R (2009)
  The Brian simulator.
  Frontiers in Neuroscience
• Brette R, Goodman D (2009)
  Brian: a simple and flexible simulator for spiking neural networks.
  The Neuromorphic Engineer