ArticlePLoS computational biology2019
Temporal pattern separation in hippocampal neurons through multiplexed neural codes.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 54 citations in OpenAlex.
- Hippocampal patterns and associative memory: Distinct intracranial EEG temporal encoding patterns support memory.bioRxiv : the preprint server for biology · 2026Article
- Timing and Convergence of Ensemble Activity Govern Auditory Thalamocortical Transmission.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Simultaneous encoding of sensory features: the role of multiplexing and noise in tactile perception and neural representation.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Representational differentiation and integration within the hippocampal circuit during naturalistic stimuli.Communications biology · 2026Article
- Cortical glutamatergic and GABAergic inputs support learning-driven hippocampal stability.Science (New York, N.Y.) · 2025Article
- The effects of bipolar disorder granule cell hyperexcitability and lithium therapy on pattern separation in a computational model of the dentate gyrus.Translational psychiatry · 2025Article
- Degeneracy Explains Diversity in Interneuronal Regulation of Pattern Separation in Heterogeneous Dentate Gyrus Networks.Function (Oxford, England) · 2025Article
- Pattern Separation and Pattern Completion Within the Hippocampal Circuit During Naturalistic Stimuli.Human brain mapping · 2025Article
- Between similarity and difference: network dynamics of the hippocampal- parahippocampal circuitry in pattern separation of male Wistar rats.Frontiers in cellular neuroscience · 2025Article
- An Information-Geometric Formulation of Pattern Separation and Evaluation of Existing Indices.Entropy (Basel, Switzerland) · 2024Article
- Event Integration and Temporal Differentiation: How Hierarchical Knowledge Emerges in Hippocampal Subfields through Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Robust and consistent measures of pattern separation based on information theory and demonstrated in the dentate gyrus.PLoS computational biology · 2024Article
- Early deficits in dentate circuit and behavioral pattern separation after concussive brain injury.Experimental neurology · 2023Article
- Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding.Nature communications · 2023Article
- Moderate effect of early-life experience on dentate gyrus function.Molecular brain · 2022Article
- Pareto optimality, economy-effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons.Open biology · 2022Review
- Neurogenesis in aging and age-related neurodegenerative diseases.Ageing research reviews · 2022Review
- A Model of Pattern Separation by Single Neurons.Frontiers in computational neuroscience · 2022Article
- Article
- Deficits in Behavioral and Neuronal Pattern Separation in Temporal Lobe Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Pattern separation is a central concept in current theories of episodic memory: this computation is thought to support our ability to avoid confusion between similar memories by transforming similar cortical input patterns of neural activity into dissimilar output patterns before their long-term storage in the hippocampus. Because there are many ways one can define patterns of neuronal activity and the similarity between them, pattern separation could in theory be achieved through multiple coding strategies. Using our recently developed assay that evaluates pattern separation in isolated tissue by controlling and recording the input and output spike trains of single hippocampal neurons, we explored neural codes through which pattern separation is performed by systematic testing of different similarity metrics and various time resolutions. We discovered that granule cells, the projection neurons of the dentate gyrus, can exhibit both pattern separation and its opposite computation, pattern convergence, depending on the neural code considered and the statistical structure of the input patterns. Pattern separation is favored when inputs are highly similar, and is achieved through spike time reorganization at short time scales (< 100 ms) as well as through variations in firing rate and burstiness at longer time scales. These multiplexed forms of pattern separation are network phenomena, notably controlled by GABAergic inhibition, that involve many celltypes with input-output transformations that participate in pattern separation to different extents and with complementary neural codes: a rate code for dentate fast-spiking interneurons, a burstiness code for hilar mossy cells and a synchrony code at long time scales for CA3 pyramidal cells. Therefore, the isolated hippocampal circuit itself is capable of performing temporal pattern separation using multiplexed coding strategies that might be essential to optimally disambiguate multimodal mnemonic representations.
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