Recent updates feed

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 2026-08-12:
Habashy KG, Evans BD, Goodman DFM, Bowers JS
Factorization and spatial encodings: a hypothesis about the foundations of the genomic code.
Preprint
Paper last updated 2026-08-07:
Ghosh M, Goodman DFM (2026)
Partial recurrence enables robust and efficient computation.
Communications AI & Computing
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
Paper last updated 2026-07-13:
AlKilany A, Goodman DFM
Neuromodulation enhances the capability and efficiency of spiking neural networks.
Preprint
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
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
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
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
Paper last updated 2025-10-10:
Chu Y, Luk W, Goodman DFM (2025)
Learning spatial hearing via innate mechanisms.
PLoS Computational Biology
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
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
Paper last updated 2025-08-11:
Béna G, Faldor M, Goodman DFM, Cully A (2025)
A Path to Universal Neural Cellular Automata.
GECCO
Paper last updated 2025-06-26:
Ghosh M, et al. (2025)
Spiking neural network models of interaural time difference extraction via a massively collaborative process.
eNeuro
Paper last updated 2025-06-10:
Anil S, Goodman DFM, Ghosh M (2025)
Fusing multisensory signals across channels and time.
PLoS Computational Biology
Paper last updated 2025-05-26:
Goodman D (2025)
Neuroscience needs to empower early-career researchers, not fund moon shots.
The Transmitter