Category: Learning
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Related publications
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 -
Ghosh M, et al.
Spiking neural network models of sound localisation via a massively collaborative process.
Preprint
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 -
Perez-Nieves 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
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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
2010
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Goodman DFM, Brette R (2010)
Learning to localise sounds with spiking neural networks.
Advances in Neural Information Processing Systems