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, 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
• Engel I (2021)
  Improving binaural audio techniques for augmented reality.
  PhD thesis, Imperial College London
• Achakulvisut T, et al. (2021)
  Towards democratizing and automating online conferences: lessons from the Neuromatch conferences.
  Trends in Cognitive Sciences
• Zenke F, et al. (2021)
  Visualizing a joint future of neuroscience and neuromorphic engineering.
  Neuron
• Weerts L (2021)
  Features of hearing: applications of machine learning to uncover the building blocks of hearing.
  PhD thesis, Imperial College London
• Zheng JX (2021)
  Advances in network visualisation with an application to serious games.
  PhD thesis, Imperial College London

2020

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

2019

• 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
• Hathway P, Goodman DFM (2019)
  Neural Topic Modelling.
  Cognitive Computational Neuroscience
• + 4 conference papers

2018

• Zheng JX, Pawar S, Goodman DFM (2018)
  Confluent* Drawings by Hierarchical Clustering.
  Graph Drawing and Network Visualization
• Zheng JX, Pawar S, Goodman DFM (2018)
  Graph Drawing by Stochastic Gradient Descent.
  IEEE Transactions on Visualization and Computer Graphics
• + 1 conference paper

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