2026

• AlKilany A, Goodman DFM
  Neuromodulation enhances the capability and efficiency of spiking neural networks.
  Preprint
  
• 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
  
• 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

• Sun P, Achterberg J, Su Z, Goodman DFM, Akarca D
  Exploiting heterogeneous delays for efficient computation in low-bit neural networks.
  Preprint
  
• Goodman D (2025)
  This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks.
  The Transmitter
  
• Sun P, Achterberg J, Goodman DFM, Akarca D (2025)
  Long delays reduce the need for precise weights in spiking neural networks.
  Cognitive Computational Neuroscience
  
• Ghosh M, et al. (2025)
  Spiking neural network models of interaural time difference extraction via a massively collaborative process.
  eNeuro
  
• Anil S, Goodman DFM, Ghosh M (2025)
  Fusing multisensory signals across channels and time.
  PLoS Computational Biology
  

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

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
  
• Zenke F, et al. (2021)
  Visualizing a joint future of neuroscience and neuromorphic engineering.
  Neuron
  

2020

• Hathway P (2020)
  Biologically-inspired machine learning approaches to large-scale neural data analysis.
  PhD thesis, Imperial College London
• 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

• Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2019)
  Advantages of heterogeneity of parameters in spiking neural network training.
  Cognitive Computational Neuroscience
  
• Stimberg M, Brette R, Goodman DFM (2019)
  Brian 2, an intuitive and efficient neural simulator.
  eLife
  
• Stimberg M, Goodman DFM, Brette R, De Pittà M (2019)
  Modeling neuron-glia interactions with the Brian 2 simulator.
  Springer
  

2018

• 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
  
• Hathway P, Goodman DFM (2018)
  [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
  ReScience
  
• Blundell I, et al. (2018)
  Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
  Frontiers in Neuroinformatics
  

2016

• Rossant C, et al. (2016)
  Spike sorting for large, dense electrode arrays.
  Nature Neuroscience
  

2014

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

2013

• Goodman DFM, Brette R (2013)
  Brian simulator.
  Scholarpedia
  
• Goodman DFM, Brette R (2013)
  Brian Spiking Neural Network Simulator.
  SpringerReference

2012

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

2011

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

2010

• Goodman DFM, Brette R (2010)
  Spike-timing-based computation in sound localization.
  PLoS Computational Biology
  
• 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)
  Learning to localise sounds with spiking neural networks.
  Advances in Neural Information Processing Systems
  
• Goodman DFM (2010)
  Code Generation: A Strategy for Neural Network Simulators.
  Neuroinformatics
  

2009

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