2023

• Perez N, Goodman DFM
  Spiking Network Initialisation and Firing Rate Collapse.
  Preprint

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, Pawar S, Goodman DFM (2021)
  Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization.
  IEEE Transactions on Visualization and Computer Graphics
• Zenke F, et al. (2021)
  Visualizing a joint future of neuroscience and neuromorphic engineering.
  Neuron
• Zheng JX (2021)
  Advances in network visualisation with an application to serious games.
  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
• Hathway P (2020)
  Biologically-inspired machine learning approaches to large-scale neural data analysis.
  PhD thesis, Imperial College London

2019

• Stimberg M, Goodman DFM, Brette R, De Pittà M (2019)
  Modeling neuron-glia interactions with the Brian 2 simulator.
  Springer
• Stimberg M, Brette R, Goodman DFM (2019)
  Brian 2, an intuitive and efficient neural simulator.
  eLife
• Hathway P, Goodman DFM (2019)
  Neural Topic Modelling.
  Cognitive Computational Neuroscience
• + 1 conference paper

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
• Zheng JX, Pawar S, Goodman DFM (2018)
  Graph Drawing by Stochastic Gradient Descent.
  IEEE Transactions on Visualization and Computer Graphics

2017

• Dietz M, et al. (2017)
  An initiative for testability and comparability of binaural models.
  Acoustical Society of America
• + 1 conference paper

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

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

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