Category: Spiking
Related organisations
Organisation for neuroscientists interested in spiking neural networks.
Related software
A Python simulator for spiking neural networks.
Spike sorting.
Related videos

Multimodal units fusethenaccumulate evidence across channelsTalk / 2023
Talk on multimodal processing given at VVTNS 2023 seminar series 
Cosyne tutorial on spiking neural networks (2/2)Talk / 2022
Part 2  (Machine) learning with SNNs 
Cosyne tutorial on spiking neural networks (1/2)Talk / 2022
Part 1  "Classical" SNNs 
Understanding the role of neural heterogeneity in learningTalk / 2021
Talk on neural heterogeneity by Nicolas Perez. 
Neural heterogeneity promotes robust learningTalk / 2021
Talk on neural heterogeneity by Dan Goodman.
Related publications
2023

Ghosh M, Béna G, Bormuth V, Goodman DFM
Multimodal units fusethenaccumulate evidence across channels.
Preprint
2021

PerezNieves N, Goodman DFM (2021)
Sparse spiking gradient descent.
Advances in Neural Information Processing Systems 
PerezNieves N, Leung VCH, Dragotti PL, Goodman DFM (2021)
Neural heterogeneity promotes robust learning.
Nature Communications 
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 
PerezNieves N, Leung VCH, Dragotti PL, Goodman DFM (2019)
Advantages of heterogeneity of parameters in spiking neural network training.
Cognitive Computational Neuroscience  + 1 conference paper
2018

Blundell I, et al. (2018)
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers in Neuroinformatics 
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
2016

Rossant C, et al. (2016)
Spike sorting for large, dense electrode arrays.
Nature Neuroscience
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
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 
Kremer Y, Léger JF, Goodman D, Brette R, Bourdieu L (2011)
Late emergence of the vibrissa direction selectivity map in the rat barrel cortex.
Journal of Neuroscience 
Brette R, Goodman DFM (2011)
Vectorised algorithms for spiking neural network simulation.
Neural Computation
2010

Goodman DFM, Brette R (2010)
Learning to localise sounds with spiking neural networks.
Advances in Neural Information Processing Systems 
Rossant C, Goodman DFM, Platkiewicz J, Brette R (2010)
Automatic fitting of spiking neuron models to electrophysiological recordings.
Frontiers in Neuroinformatics 
Goodman DFM, Brette R (2010)
Spiketimingbased computation in sound localization.
PLoS Computational Biology
2009

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