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, et al.
  Spiking neural network models of sound localisation via a massively collaborative process.
  Preprint
• Ghosh M, Béna G, Bormuth V, Goodman DFM (2024)
  Nonlinear fusion is optimal for a wide class of multisensory tasks.
  PLoS Computational Biology
• 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

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, Leung VCH, Dragotti PL, Goodman DFM (2021)
  Neural heterogeneity promotes robust learning.
  Nature Communications

2020

• Chu Y, Luk W, Goodman D
  Learning Absolute Sound Source Localisation With Limited Supervisions.
  Preprint

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
• Weerts L, Clopath C, Goodman DFM (2019)
  A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features.
  Cognitive Computational Neuroscience
• 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
• + 3 conference papers

2018

• 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

2017

• Goodman DF (2017)
  On the use of hypothesis-driven reduced models in auditory neuroscience.
  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
• + 2 conference papers

2016

• Dietz M, et al. (2016)
  A framework for auditory model comparability and applicability.
  Acoustical Society of America
• + 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

2013

• Goodman DFM, Benichoux V, Brette R (2013)
  Decoding neural responses to temporal cues for sound localization.
  eLife

2011

• 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

2010

• Goodman DFM, Brette R (2010)
  Learning to localise sounds with spiking neural networks.
  Advances in Neural Information Processing Systems
• Goodman DFM, Brette R (2010)
  Spike-timing-based computation in sound localization.
  PLoS Computational Biology