ArticlePLoS computational biology2016
Gamma Synchronization Influences Map Formation Time in a Topological Model of Spatial Learning.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Spatial representability of neuronal activity.Scientific reports · 2021Article
- Simplicial and topological descriptions of human brain dynamics.Network neuroscience (Cambridge, Mass.) · 2021Article
- From Topological Analyses to Functional Modeling: The Case of Hippocampus.Frontiers in computational neuroscience · 2020Article
- Discrete Structure of the Brain Rhythms.Scientific reports · 2019Article
- Through synapses to spatial memory maps via a topological model.Scientific reports · 2019Article
- Replays of spatial memories suppress topological fluctuations in cognitive map.Network neuroscience (Cambridge, Mass.) · 2019Article
- The importance of the whole: Topological data analysis for the network neuroscientist.Network neuroscience (Cambridge, Mass.) · 2019Article
- Robust spatial memory maps encoded by networks with transient connections.PLoS computational biology · 2018Article
- Topological Schemas of Memory Spaces.Frontiers in computational neuroscience · 2018Article
- Transient cell assembly networks encode stable spatial memories.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The mammalian hippocampus plays a crucial role in producing a cognitive map of space-an internalized representation of the animal's environment. We have previously shown that it is possible to model this map formation using a topological framework, in which information about the environment is transmitted through the temporal organization of neuronal spiking activity, particularly those occasions in which the firing of different place cells overlaps. In this paper, we discuss how gamma rhythm, one of the main components of the extracellular electrical field potential affects the efficiency of place cell map formation. Using methods of algebraic topology and the maximal entropy principle, we demonstrate that gamma modulation synchronizes the spiking of dynamical cell assemblies, which enables learning a spatial map at faster timescales.
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Registered trials
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