A computational model for grid maps in neural populations
| العنوان: | A computational model for grid maps in neural populations |
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| المؤلفون: | Micah M. Murray, Fabio Anselmi, Benedetta Franceschiello |
| المساهمون: | Anselmi, Fabio, Murray, Micah M, Franceschiello, Benedetta |
| المصدر: | Journal of Computational Neuroscience |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, 0301 basic medicine, Computer science, Cognitive Neuroscience, Models, Neurological, Equiangular polygon, Action Potentials, Grid cell, Topology, Hippocampus, Cue, Computational model, Grid cells, Algorithms, Animals, Brain Mapping, Cues, Entorhinal Cortex, Machine Learning, Models Neurological, Neurons, Space Perception, Synapses, 03 medical and health sciences, Cellular and Molecular Neuroscience, Hippocampu, 0302 clinical medicine, Robustness (computer science), Encoding (memory), Attractor, Neural and Evolutionary Computing (cs.NE), Action Potential, Quantitative Biology::Neurons and Cognition, Animal, Computer Science - Neural and Evolutionary Computing, Neuron, Grid, Sensory Systems, Algorithm, 030104 developmental biology, Hebbian theory, Receptive field, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Theory of computation, Neurons and Cognition (q-bio.NC), 030217 neurology & neurosurgery |
| الوصف: | Grid cells in the entorhinal cortex, together with head direction, place, speed and border cells, are major contributors to the organization of spatial representations in the brain. In this work we introduce a novel theoretical and algorithmic framework able to explain the emergence of hexagonal grid-like response patterns from head direction cells' responses. We show that this pattern is a result of minimal variance encoding of neurons. The novelty lies into the formulation of the encoding problem through the modern Frame Theory language, specifically that of equiangular Frames, providing new insights about the optimality of hexagonal grid receptive fields. The model proposed overcomes some crucial limitations of the current attractor and oscillatory models. It is based on the well-accepted and tested hypothesis of Hebbian learning, providing a simplified cortical-based framework that does not require the presence of theta velocity-driven oscillations (oscillatory model) or translational symmetries in the synaptic connections (attractor model). We moreover demonstrate that the proposed encoding mechanism naturally explains axis alignment of neighbor grid cells and maps shifts, rotations and scaling of the stimuli onto the shape of grid cells' receptive fields, giving a straightforward explanation of the experimental evidence of grid cells remapping under transformations of environmental cues. Comment: 16 pages, 4 figures |
| تدمد: | 1573-6873 0929-5313 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::beb8d53be583ccf8beef95e28bd19095Test https://doi.org/10.1007/s10827-020-00742-9Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....beb8d53be583ccf8beef95e28bd19095 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15736873 09295313 |
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