2024

• 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

2022

• Weerts L, Rosen S, Clopath C, Goodman DFM
  The Psychometrics of Automatic Speech Recognition.
  Preprint
• Engel I, Goodman DFM, Picinali L (2022)
  Assessing HRTF preprocessing methods for Ambisonics rendering through perceptual models.
  Acta Acustica

2021

• Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2021)
  Neural heterogeneity promotes robust learning.
  Nature Communications
• Su Y, Chung Y, Goodman DFM, Hancock KE, Delgutte B (2021)
  Rate and Temporal Coding of Regular and Irregular Pulse Trains in Auditory Midbrain of Normal‑Hearing and Cochlear‑Implanted Rabbits.
  Journal of the Association for Research in Otolaryngology
• Engel I (2021)
  Improving binaural audio techniques for augmented reality.
  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

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
• Chu Y, Goodman DFM (2019)
  An Inference Network Model for Goal-directed Attentional Selection.
  Cognitive Computational Neuroscience
• Engel I, Goodman DFM, Picinali L (2019)
  The Effect of Auditory Anchors on Sound Localization: A Preliminary Study.
  Immersive and Interactive Audio
• Weerts L, Clopath C, Goodman DFM (2019)
  A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features.
  Cognitive Computational Neuroscience
• Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L (2019)
  Short-term effects of sound localization training in virtual reality.
  Scientific Reports
• Lestang J-H (2019)
  The role of canonical neural computations in sound localization.
  PhD thesis, Imperial College London
• + 3 conference papers

2018

• Dietz M, et al. (2018)
  A framework for testing and comparing binaural models.
  Hearing Research
• 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
• Chungeun K, Steadman M, Lestang JH, Goodman DFM, Picinali L (2018)
  A VR-Based Mobile Platform for Training to Non-Individualized Binaural 3D Audio.
  Audio Engineering Society
• + 1 conference paper

2017

• Goodman DF (2017)
  On the use of hypothesis-driven reduced models in auditory neuroscience.
  Acoustical Society of America
• Dietz M, et al. (2017)
  An initiative for testability and comparability of binaural models.
  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
• + 3 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

• Fontaine B, Goodman DFM, Benichoux V, Brette R (2011)
  Brian Hears: online auditory processing using vectorisation over channels.
  Frontiers in Neuroinformatics
• 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