2024

• Ghosh M, et al.
  Spiking neural network models of sound localisation via a massively collaborative process.
  Preprint
• Habashy KG, Evans BD, Goodman DFM, Bowers JS
  Adapting to time: why nature evolved a diverse set of neurons.
  Preprint
• Béna G, Goodman DFM
  Dynamics of specialization in neural modules under resource constraints.
  Preprint

2023

• Perez N (2023)
  Robust and efficient training on deep spiking neural networks.
  PhD thesis, Imperial College London

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

• Chu Y, Luk W, Goodman D
  Learning Absolute Sound Source Localisation With Limited Supervisions.
  Preprint
• Hathway P (2020)
  Biologically-inspired machine learning approaches to large-scale neural data analysis.
  PhD thesis, Imperial College London

2019

• Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L (2019)
  Short-term effects of sound localization training in virtual reality.
  Scientific Reports

2018

• Hathway P, Goodman DFM (2018)
  [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
  ReScience

2010

• Goodman DFM, Brette R (2010)
  Learning to localise sounds with spiking neural networks.
  Advances in Neural Information Processing Systems