ArticleeLife2022
Invariant neural subspaces maintained by feedback modulation.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Top-down feedback in deep neural networks leads to functional differences during audiovisual integration.eLife · 2026Article
- Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.Nature communications · 2026Article
- Three types of remapping with linear decoders: A population-geometric perspective.PLoS computational biology · 2025Article
- Three types of remapping with linear decoders: a population-geometric perspective.bioRxiv : the preprint server for biology · 2025Article
- Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Layer-specific control of inhibition by NDNF interneurons.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Structured flexibility in recurrent neural networks via neuromodulation.Advances in neural information processing systems · 2024Article
- Gain control of sensory input across polysynaptic circuitries in mouse visual cortex by a single G protein-coupled receptor type (5-HTNature communications · 2024Article
- Context-invariant beliefs are supported by dynamic reconfiguration of single unit functional connectivity in prefrontal cortex of male macaques.Nature communications · 2024Article
- Propagation of activity through the cortical hierarchy and perception are determined by neural variability.Nature neuroscience · 2023Article
- Context-invariant beliefs are supported by dynamic reconfiguration of single unit functional connectivity in prefrontal cortex.bioRxiv : the preprint server for biology · 2023Article
- Article
- Cortical interneurons: fit for function and fit to function? Evidence from development and evolution.Frontiers in neural circuits · 2023Review
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Authors and funding
3 authors.
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Abstract
Sensory systems reliably process incoming stimuli in spite of changes in context. Most recent models accredit this context invariance to an extraction of increasingly complex sensory features in hierarchical feedforward networks. Here, we study how context-invariant representations can be established by feedback rather than feedforward processing. We show that feedforward neural networks modulated by feedback can dynamically generate invariant sensory representations. The required feedback can be implemented as a slow and spatially diffuse gain modulation. The invariance is not present on the level of individual neurons, but emerges only on the population level. Mechanistically, the feedback modulation dynamically reorients the manifold of neural activity and thereby maintains an invariant neural subspace in spite of contextual variations. Our results highlight the importance of population-level analyses for understanding the role of feedback in flexible sensory processing.
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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.