ArticleNetwork neuroscience (Cambridge, Mass.)2018
Switching between internal and external modes: A multiscale learning principle.
Article in Network neuroscience (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.Current biology : CB · 2026Article
- Arousal state modulates human hippocampal ripples.bioRxiv : the preprint server for biology · 2026Article
- Episodic memory encoding fluctuates at a theta rhythm of 3-10 Hz.Nature human behaviour · 2026Article
- Sensory encoding and memory retrieval are coordinated with propagating waves in the human brain.Nature communications · 2026Article
- Developmental variations in recurrent spatiotemporal brain propagations from childhood to adulthood.Nature communications · 2026Article
- Concurrent selection of internal goals and external sensations during visual search.Science advances · 2025Article
- Simultaneously determining regional heterogeneity and connection directionality from neural activity and symmetric connection.PLoS computational biology · 2025Article
- Study-phase reinstatement predicts subsequent recall.Nature neuroscience · 2025Article
- Memory consolidation accelerates.Nature neuroscience · 2025Article
- Temporal Contrastive Learning through implicit non-equilibrium memory.Nature communications · 2025Article
- Tripartite organization of brain state dynamics underlying spoken narrative comprehension.eLife · 2025Article
- Distinct Inhibitory Neurons Differently Shape Neuronal Codes for Sound Intensity in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Successful Prediction Is Associated With Enhanced Encoding.Open mind : discoveries in cognitive science · 2025Article
- Prior memory responses modulate behavior and brain state engagement.Communications psychology · 2024Article
- Differential Mnemonic Contributions of Cortical Representations during Encoding and Retrieval.Journal of cognitive neuroscience · 2024Article
- "Distinct inhibitory neurons differently shape neuronal codes for sound intensity in the auditory cortex".bioRxiv : the preprint server for biology · 2024Article
- Information Thermodynamics: From Physics to Neuroscience.Entropy (Basel, Switzerland) · 2024Article
- Perirhinal cortex learns a predictive map of the task environment.Nature communications · 2024Article
- Cholinergic modulation of rearing in rats performing a spatial memory task.The European journal of neuroscience · 2024Article
- Shifting attention between perception and working memory.Cognition · 2024Article
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Authors and funding
3 authors.
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Abstract
Brains construct internal models that support perception, prediction, and action in the external world. Individual circuits within a brain also learn internal models of the local world of input they receive, in order to facilitate efficient and robust representation. How are these internal models learned? We propose that learning is facilitated by continual switching between internally biased and externally biased modes of processing. We review computational evidence that this mode-switching can produce an error signal to drive learning. We then consider empirical evidence for the instantiation of mode-switching in diverse neural systems, ranging from subsecond fluctuations in the hippocampus to wake-sleep alternations across the whole brain. We hypothesize that these internal/external switching processes, which occur at multiple scales, can drive learning at each scale. This framework predicts that (a) slower mode-switching should be associated with learning of more temporally extended input features and (b) disruption of switching should impair the integration of new information with prior information.
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Registered trials
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.