ReviewFrontiers in computational neuroscience2022
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions.
Review in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- MEG state dynamics of sentence generation: evidence for a compensatory segmentation mechanism in healthy aging.Frontiers in computational neuroscience · 2026Article
- Multi-agent meta-reinforcement learning based on contrastive predictive coding-For rapid adaptive traffic control after emergencies.PloS one · 2026Article
- Experience-Dependent Plasticity to Visual Sequences in Mouse Anterior Cingulate Cortex Reflects Familiarity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Preemptive gain control in primary visual cortex.Current biology : CB · 2025Article
- Oddball Evoked Deviant Responses Reflect Complex Context-Dependent Expectations in Mouse V1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dynamics of energy-efficient coding in visual cortex.Journal of neurophysiology · 2025Article
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Signatures of hierarchical temporal processing in the mouse visual system.PLoS computational biology · 2024Article
- Gaming expertise induces meso‑scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling.NeuroImage · 2024Article
- Adaptation of the inferior temporal neurons and efficient visual processing.Frontiers in behavioral neuroscience · 2024Review
- Gaming expertise induces meso-scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling Gaming expertise, neuroplasticity and functional dynamics.bioRxiv : the preprint server for biology · 2023Article
- Signal processing in the vagus nerve: Hypotheses based on new genetic and anatomical evidence.Biological psychology · 2023Review
- The influence of stimulus history on directional coding in the monarch butterfly brain.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Article
- Expectation violations produce error signals in mouse V1.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning.Frontiers in computational neuroscience · 2023Article
- On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain's functional connectogram.Frontiers in neuroinformatics · 2023Review
- Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges.Frontiers in cellular neuroscience · 2022Article
- Cognitive flexibility and brain network energy in healthy aging: An allostatic perspective from the SENECA model.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
While it is universally accepted that the brain makes predictions, there is little agreement about how this is accomplished and under which conditions. Accurate prediction requires neural circuits to learn and store spatiotemporal patterns observed in the natural environment, but it is not obvious how such information should be stored, or encoded. Information theory provides a mathematical formalism that can be used to measure the efficiency and utility of different coding schemes for data transfer and storage. This theory shows that codes become efficient when they remove predictable, redundant spatial and temporal information. Efficient coding has been used to understand retinal computations and may also be relevant to understanding more complicated temporal processing in visual cortex. However, the literature on efficient coding in cortex is varied and can be confusing since the same terms are used to mean different things in different experimental and theoretical contexts. In this work, we attempt to provide a clear summary of the theoretical relationship between efficient coding and temporal prediction, and review evidence that efficient coding principles explain computations in the retina. We then apply the same framework to computations occurring in early visuocortical areas, arguing that data from rodents is largely consistent with the predictions of this model. Finally, we review and respond to criticisms of efficient coding and suggest ways that this theory might be used to design future experiments, with particular focus on understanding the extent to which neural circuits make predictions from efficient representations of environmental statistics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.