ArticleeLife2016
Neural oscillations as a signature of efficient coding in the presence of synaptic delays.
Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Deep Brain Stimulation Induces Antidepressant Effects by Restoring High-Fidelity Communication in the BNST-NAc Circuit.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Broadband synergy versus oscillatory redundancy in the visual cortex.Nature communications · 2026Article
- Design principles for cost functions in optimal sensory coding.Frontiers in computational neuroscience · 2026Review
- Broadband synergy versus oscillatory redundancy in the visual cortex.bioRxiv : the preprint server for biology · 2025Article
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- Large-scale interactions in predictive processing: oscillatory versus transient dynamics.Trends in cognitive sciences · 2025Review
- Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.bioRxiv : the preprint server for biology · 2025Article
- Signatures of criticality in efficient coding networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Enhanced Release Probability without Changes in Synaptic Delay during Analogue-Digital Facilitation.Cells · 2024Article
- An oscillatory mechanism for multi-level storage in short-term memory.Communications biology · 2023Article
- Inhibitory neurons control the consolidation of neural assemblies via adaptation to selective stimuli.Scientific reports · 2023Article
- Uncovering the organization of neural circuits with Generalized Phase Locking Analysis.PLoS computational biology · 2023Article
- Computational methods to study information processing in neural circuits.Computational and structural biotechnology journal · 2023Review
- Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays.PLoS computational biology · 2022Article
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- Criticality enhances the multilevel reliability of stimulus responses in cortical neural networks.PLoS computational biology · 2022Article
- Local dendritic balance enables learning of efficient representations in networks of spiking neurons.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Poisson balanced spiking networks.PLoS computational biology · 2020Article
- Learning to represent signals spike by spike.PLoS computational biology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cortical networks exhibit 'global oscillations', in which neural spike times are entrained to an underlying oscillatory rhythm, but where individual neurons fire irregularly, on only a fraction of cycles. While the network dynamics underlying global oscillations have been well characterised, their function is debated. Here, we show that such global oscillations are a direct consequence of optimal efficient coding in spiking networks with synaptic delays and noise. To avoid firing unnecessary spikes, neurons need to share information about the network state. Ideally, membrane potentials should be strongly correlated and reflect a 'prediction error' while the spikes themselves are uncorrelated and occur rarely. We show that the most efficient representation is when: (i) spike times are entrained to a global Gamma rhythm (implying a consistent representation of the error); but (ii) few neurons fire on each cycle (implying high efficiency), while (iii) excitation and inhibition are tightly balanced. This suggests that cortical networks exhibiting such dynamics are tuned to achieve a maximally efficient population code.
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