Recent updated feed
The page below shows a list of the most recently updated items on the site.
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Paper last updated 2026-09-16:Gardner B, et al. (2026)
Hierarchical feature binding in a spiking neural network model of the primate ventral visual pathway.
PLOS Computational Biology
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Talk last updated 2026-09-16:Rapid neuromodulation enables context-dependent sensory processing
AbdelQader AlKilany at Neuromodulation of Neuronal Circuits workshop at the Paris Brain Institute (2026) -
Talk last updated 2026-09-10:Does heterogeneity help the brain and how could we know if it did?
Dan Goodman at Francis Crick Institute seminar series "Understanding the brain in theory and practice" (2026) -
Paper last updated 2026-08-12:Habashy KG, Evans BD, Goodman DFM, Bowers JS
Factorization and spatial encodings: a hypothesis about the foundations of the genomic code.
Preprint
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Paper last updated 2026-08-07:Ghosh M, Goodman DFM (2026)
Partial recurrence enables robust and efficient computation.
Communications AI & Computing
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Talk last updated 2026-07-15:Learning with spikes
Dan Goodman at FENS-Chen Institute summer school lecture (Cambridge) (2026) -
Paper last updated 2026-07-14:Rajpal H, Goodman DFM
Emergent Generalization by Representation Learning in Artificial Neural Networks.
Preprint
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Paper last updated 2026-07-13:AlKilany A, Goodman DFM
Neuromodulation enhances the capability and efficiency of spiking neural networks.
Preprint
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Paper last updated 2026-06-16:Sun P, Su Z, Achterberg J, Indiveri G, Goodman DFM, Akarca D (2026)
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.
Nature Machine Intelligence
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Talk last updated 2026-06-13:Untitled NeuroAI talk
Dan Goodman at Organisation for Human Brain Mapping (2026) -
Paper last updated 2026-05-05:Sharma J, Goodman DFM, Akarca D
Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks.
Preprint
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Talk last updated 2026-04-23:Theoretical and experimental challenges in understanding the brain
Dan Goodman at Sainsbury-Wellcome Centre (2026) -
Paper last updated 2026-02-17:Yu Z, Sun P, Goodman DFM (2026)
Beyond rate coding: surrogate gradients enable spike timing learning in spiking neural networks.
Neuromorphic Computing and Engineering
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Paper last updated 2026-01-01:Béna G (2026)
Physical constraints and functional demands shape modular neuromorphic intelligence.
PhD thesis, Imperial College London -
Talk last updated 2025-12-12:Intelligence as resource efficiency
Dan Goodman at Mathematical Neuroscience conference (2025) -
Paper last updated 2025-10-31:Sun P, Achterberg J, Su Z, Goodman DFM, Akarca D
Exploiting heterogeneous delays for efficient computation in low-bit neural networks.
Preprint
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Paper last updated 2025-10-10:Chu Y, Luk W, Goodman DFM (2025)
Learning spatial hearing via innate mechanisms.
PLoS Computational Biology
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Paper last updated 2025-09-17: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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Paper last updated 2025-08-12: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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Paper last updated 2025-08-11:Béna G, Faldor M, Goodman DFM, Cully A (2025)
A Path to Universal Neural Cellular Automata.
GECCO