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
  
• 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
  
• Sharma J, Goodman DFM, Akarca D
  Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks.
  Preprint
  
• Yu Z, Sun P, Goodman DFM (2026)
  Beyond rate coding: surrogate gradients enable spike timing learning in spiking neural networks.
  Neuromorphic Computing and Engineering
  
• Béna G (2026)
  Physical constraints and functional demands shape modular neuromorphic intelligence.
  PhD thesis, Imperial College London

2025

• Sun P, Achterberg J, Su Z, Goodman DFM, Akarca D
  Exploiting heterogeneous delays for efficient computation in low-bit neural networks.
  Preprint
  
• Chu Y, Luk W, Goodman DFM (2025)
  Learning spatial hearing via innate mechanisms.
  PLoS Computational Biology
  
• 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
  
• 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
  
• 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
  

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

• 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, 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
  
• 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
  
• Achakulvisut T, et al. (2021)
  Towards democratizing and automating online conferences: lessons from the Neuromatch conferences.
  Trends in Cognitive Sciences
  
• Engel I (2021)
  Improving binaural audio techniques for augmented reality.
  PhD thesis, Imperial College London
  

2020

• Hathway P (2020)
  Biologically-inspired machine learning approaches to large-scale neural data analysis.
  PhD thesis, Imperial College London
• Achakulvisut T, et al. (2020)
  Point of View: Improving on legacy conferences by moving online.
  eLife
  
• Achakulvisut T, Ruangrong T, Acuna DE, Wyble B, Goodman D, Kording K (2020)
  neuromatch: Algorithms to match scientists.
  eLife Labs
  

2019

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

2018

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

2016

• Rossant C, et al. (2016)
  Spike sorting for large, dense electrode arrays.
  Nature Neuroscience
  

2014

• Kadir SN, Goodman DFM, Harris KD (2014)
  High-dimensional cluster analysis with the masked EM algorithm.
  Neural Computation
  

2013

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