Category browser: Learning
Related videos
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Multimodal units fuse-then-accumulate evidence across channels
Talk on multimodal processing given at VVTNS 2023 seminar series -
Cosyne tutorial on spiking neural networks (2/2)
Part 2 - (Machine) learning with SNNs -
Cosyne tutorial on spiking neural networks (1/2)
Part 1 - "Classical" SNNs -
Understanding the role of neural heterogeneity in learning
Talk on neural heterogeneity by Nicolas Perez. -
Neural heterogeneity promotes robust learning
Talk on neural heterogeneity by Dan Goodman.
Related publications
2026
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Béna G
(2026)
Physical constraints and functional demands shape modular neuromorphic intelligence.
PhD thesis, Imperial College London
2025
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Chu Y, Luk W, Goodman DFM
(2025)
Learning spatial hearing via innate mechanisms.
PLoS Computational Biology
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Goodman D
(2025)
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks.
The Transmitter
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Sun P, Achterberg J, Goodman DFM, Akarca D
(2025)
Long delays reduce the need for precise weights in spiking neural networks.
Cognitive Computational Neuroscience
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Béna G, Faldor M, Goodman DFM, Cully A
(2025)
A Path to Universal Neural Cellular Automata.
GECCO
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Ghosh M, et al.
(2025)
Spiking neural network models of interaural time difference extraction via a massively collaborative process.
eNeuro
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Béna G, Goodman DFM
(2025)
Dynamics of specialization in neural modules under resource constraints.
Nature Communications
2024
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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
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Perez N
(2023)
Robust and efficient training on deep spiking neural networks.
PhD thesis, Imperial College London
2021
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Perez-Nieves N, Goodman DFM
(2021)
Sparse spiking gradient descent.
Advances in Neural Information Processing Systems
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Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM
(2021)
Neural heterogeneity promotes robust learning.
Nature Communications
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Zenke F, et al.
(2021)
Visualizing a joint future of neuroscience and neuromorphic engineering.
Neuron
2020
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Hathway P
(2020)
Biologically-inspired machine learning approaches to large-scale neural data analysis.
PhD thesis, Imperial College London
2019
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Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L
(2019)
Short-term effects of sound localization training in virtual reality.
Scientific Reports
2018
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Hathway P, Goodman DFM
(2018)
[Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains.
ReScience
2010
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Goodman DFM, Brette R
(2010)
Learning to localise sounds with spiking neural networks.
Advances in Neural Information Processing Systems