2026

• Habashy KG, Evans BD, Goodman DFM, Bowers JS
  Factorization and spatial encodings: a hypothesis about the foundations of the genomic code.
  Preprint
  
• Ghosh M, Goodman DFM (2026)
  Partial recurrence enables robust and efficient computation.
  Communications AI & Computing
  
• Rajpal H, Goodman DFM
  Emergent Generalization by Representation Learning in Artificial Neural Networks.
  Preprint
  
• AlKilany A, Goodman DFM
  Neuromodulation enhances the capability and efficiency of spiking neural networks.
  Preprint
  
• Sharma J, Goodman DFM, Akarca D
  Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks.
  Preprint
  
• Béna G (2026)
  Physical constraints and functional demands shape modular neuromorphic intelligence.
  PhD thesis, Imperial College London

2025

• Chu Y, Luk W, Goodman DFM (2025)
  Learning spatial hearing via innate mechanisms.
  PLoS Computational Biology
  
• Sun P, Achterberg J, Goodman DFM, Akarca D (2025)
  Long delays reduce the need for precise weights in spiking neural networks.
  Cognitive Computational Neuroscience
  
• Béna G, Faldor M, Goodman DFM, Cully A (2025)
  A Path to Universal Neural Cellular Automata.
  GECCO
  
• 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
  
• Béna G, Goodman DFM (2025)
  Dynamics of specialization in neural modules under resource constraints.
  Nature Communications
  

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 (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
  

2019

• Lestang J-H, Goodman DFM
  General neural mechanisms can account for rising slope preference in localization of ambiguous sounds.
  Preprint
  
• Lestang J-H (2019)
  The role of canonical neural computations in sound localization.
  PhD thesis, Imperial College London
• Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2019)
  Advantages of heterogeneity of parameters in spiking neural network training.
  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
  
• Chu Y, Goodman DFM (2019)
  An Inference Network Model for Goal-directed Attentional Selection.
  Cognitive Computational Neuroscience
  
• 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
  

2017

• Lestang JH, Goodman DF (2017)
  The roles of inhibition and adaptation for spatial hearing in difficult listening conditions.
  Acoustical Society of America
• Goodman DF (2017)
  On the use of hypothesis-driven reduced models in auditory neuroscience.
  Acoustical Society of America

2016

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

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

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