ReviewProceedings of the National Academy of Sciences of the United States of America2021
Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge.
Review in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Brain-AI convergence: Generative world models and hierarchical attention for human intelligence.Patterns (New York, N.Y.) · 2026Review
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- Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.Biological cybernetics · 2026Review
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- Sense and Mind method: an innovative methodological approach to embodied rehabilitation.Cognitive processing · 2026Review
- Towards an informational account of interpersonal coordination.Nature reviews. Neuroscience · 2026Review
- Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.Communications biology · 2025Article
- Ripple contributions to human memory: making the spiking content count.Nature reviews. Neuroscience · 2025Review
- Hippocampus supports multi-task reinforcement learning under partial observability.Nature communications · 2025Article
- Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.bioRxiv : the preprint server for biology · 2025Article
- Task-based functional connectivity in infants after exposure to regular white noise during natural sleep measured by fNIRS.Scientific reports · 2025Article
- Temporal coding carries more stable cortical visual representations than firing rate over time.Nature communications · 2025Article
- The Mind-Matter Dichotomy: A Persistent Challenge for Neuroscientific and Philosophical Theories.The European journal of neuroscience · 2025Review
- Integrated phenomenology and brain connectivity demonstrate changes in nonlinear processing in jhana advanced meditation.bioRxiv : the preprint server for biology · 2025Article
- Large-scale interactions in predictive processing: oscillatory versus transient dynamics.Trends in cognitive sciences · 2025Review
- The functional role of oscillatory dynamics in neocortical circuits: A computational perspective.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.Frontiers in neural circuits · 2025Article
- Scanpath EEG dynamic, a new perspective for neuroaesthetic connoisseurship in paintings.Frontiers in psychology · 2025Review
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Abstract
Current concepts of sensory processing in the cerebral cortex emphasize serial extraction and recombination of features in hierarchically structured feed-forward networks in order to capture the relations among the components of perceptual objects. These concepts are implemented in convolutional deep learning networks and have been validated by the astounding similarities between the functional properties of artificial systems and their natural counterparts. However, cortical architectures also display an abundance of recurrent coupling within and between the layers of the processing hierarchy. This massive recurrence gives rise to highly complex dynamics whose putative function is poorly understood. Here a concept is proposed that assigns specific functions to the dynamics of cortical networks and combines, in a unifying approach, the respective advantages of recurrent and feed-forward processing. It is proposed that the priors about regularities of the world are stored in the weight distributions of feed-forward and recurrent connections and that the high-dimensional, dynamic space provided by recurrent interactions is exploited for computations. These comprise the ultrafast matching of sensory evidence with the priors covertly represented in the correlation structure of spontaneous activity and the context-dependent grouping of feature constellations characterizing natural objects. The concept posits that information is encoded not only in the discharge frequency of neurons but also in the precise timing relations among the discharges. Results of experiments designed to test the predictions derived from this concept support the hypothesis that cerebral cortex exploits the high-dimensional recurrent dynamics for computations serving predictive coding.
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