2026

• Rajpal H, Goodman DFM
  Emergent Generalization by Representation Learning in Artificial 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
  

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

• 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
  
• Zheng JX (2021)
  Advances in network visualisation with an application to serious games.
  PhD thesis, Imperial College London
• Weerts L (2021)
  Features of hearing: applications of machine learning to uncover the building blocks of hearing.
  PhD thesis, Imperial College London
• Zenke F, et al. (2021)
  Visualizing a joint future of neuroscience and neuromorphic engineering.
  Neuron
  
• 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

• 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

• Hathway P, Goodman DFM (2019)
  Neural Topic Modelling.
  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

• Zheng JX, Pawar S, Goodman DFM (2018)
  Graph Drawing by Stochastic Gradient Descent.
  IEEE Transactions on Visualization and Computer Graphics
  
• Dietz M, et al. (2018)
  A framework for testing and comparing binaural models.
  Hearing Research
  
• Blundell I, et al. (2018)
  Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
  Frontiers in Neuroinformatics
  

2017

• Dietz M, et al. (2017)
  An initiative for testability and comparability of binaural models.
  Acoustical Society of America

2016

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

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

• Rossant C, Fontaine B, Goodman DFM (2013)
  Playdoh: a lightweight Python package for distributed computing and optimisation.
  Journal of Computational Science
  
• 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
  
• 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

• Rossant C, Goodman DFM, Platkiewicz J, Brette R (2010)
  Automatic fitting of spiking neuron models to electrophysiological recordings.
  Frontiers in Neuroinformatics
  
• 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
  

2006

• Goodman DFM (2006)
  Boundaries of slices of quasifuchsian space.
  PhD thesis, University of Warwick