Category: Neuroinformatics
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Related software
Python/Matlab package for comparing binaural auditory models.
A Python simulator for spiking neural networks.
Python package for psychophysical tests of automatic speech recognition systems.
Spike sorting.
Related videos

Multimodal units fusethenaccumulate evidence across channelsTalk / 2023
Talk on multimodal processing given at VVTNS 2023 seminar series
Related publications
2023

Perez N (2023)
Robust and efficient training on deep spiking neural networks.
PhD thesis, Imperial College London
2022

Weerts L, Rosen S, Clopath C, Goodman DFM
The Psychometrics of Automatic Speech Recognition.
Preprint
2021

PerezNieves N, Goodman DFM (2021)
Sparse spiking gradient descent.
Advances in Neural Information Processing Systems 
Zenke F, et al. (2021)
Visualizing a joint future of neuroscience and neuromorphic engineering.
Neuron
2020

Stimberg M, Goodman DFM, Nowotny T (2020)
Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware.
Scientific Reports 
Hathway P (2020)
Biologicallyinspired machine learning approaches to largescale neural data analysis.
PhD thesis, Imperial College London
2019

Stimberg M, Goodman DFM, Brette R, De Pittà M (2019)
Modeling neuronglia interactions with the Brian 2 simulator.
Springer 
Stimberg M, Brette R, Goodman DFM (2019)
Brian 2, an intuitive and efficient neural simulator.
eLife  + 1 conference paper
2018

Blundell I, et al. (2018)
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers in Neuroinformatics 
Dietz M, et al. (2018)
A framework for testing and comparing binaural models.
Hearing Research
2017

Dietz M, et al. (2017)
An initiative for testability and comparability of binaural models.
Acoustical Society of America  + 1 conference paper
2016

Dietz M, et al. (2016)
A framework for auditory model comparability and applicability.
Acoustical Society of America 
Rossant C, et al. (2016)
Spike sorting for large, dense electrode arrays.
Nature Neuroscience  + 1 conference paper
2014

Stimberg M, Goodman DFM, Benichoux V, Brette R (2014)
Equationoriented specification of neural models for simulations.
Frontiers in Neuroinformatics 
Kadir SN, Goodman DFM, Harris KD (2014)
Highdimensional cluster analysis with the masked EM algorithm.
Neural Computation
2013

Rossant C, Fontaine B, Goodman DFM (2013)
Playdoh: a lightweight Python package for distributed computing and optimisation.
Journal of Computational Science
2012

Brette R, Goodman DFM (2012)
Simulating spiking neural networks on GPU.
Network: Computation in Neural Systems
2011

Fontaine B, Goodman DFM, Benichoux V, Brette R (2011)
Brian Hears: online auditory processing using vectorisation over channels.
Frontiers in Neuroinformatics 
Rossant C, Goodman DFM, Fontaine B, Platkiewicz J, Magnusson AK, Brette R (2011)
Fitting neuron models to spike trains.
Frontiers in Neuroscience 
Brette R, Goodman DFM (2011)
Vectorised algorithms for spiking neural network simulation.
Neural Computation
2010

Rossant C, Goodman DFM, Platkiewicz J, Brette R (2010)
Automatic fitting of spiking neuron models to electrophysiological recordings.
Frontiers in Neuroinformatics
2009

Brette R, Goodman D (2009)
Brian: a simple and flexible simulator for spiking neural networks.
The Neuromorphic Engineer