Recurrent amplification of grid-cell activity
| Autor: | Tiziano D'Albis, Richard Kempter |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
genetic structures
Computer science Cognitive Neuroscience Models Neurological Action Potentials Sensory system grid cells amplification ENCODE 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Attractor Animals Entorhinal Cortex Grid Cells Humans 0501 psychology and cognitive sciences ddc:610 Sensory cue grid-tuning index entorhinal cortex 05 social sciences Feed forward Entorhinal cortex Grid Hebbian theory 610 Medizin Gesundheit Space Perception Neural Networks Computer Hebbian learning Neuroscience 030217 neurology & neurosurgery |
| Popis: | High-level cognitive abilities such as navigation and spatial memory are thought to rely on the activity of grid cells in the medial entorhinal cortex (MEC), which encode the animal's position in space with periodic triangular patterns. Yet the neural mechanisms that underlie grid-cell activity are still unknown. Recent in vitro and in vivo experiments indicate that grid cells are embedded in highly structured recurrent networks. But how could recurrent connectivity become structured during development? And what is the functional role of these connections? With mathematical modeling and simulations, we show that recurrent circuits in the MEC could emerge under the supervision of weakly grid-tuned feedforward inputs. We demonstrate that a learned excitatory connectivity could amplify grid patterns when the feedforward sensory inputs are available and sustain attractor states when the sensory cues are lost. Finally, we propose a Fourier-based measure to quantify the spatial periodicity of grid patterns: the grid-tuning index. |
| Databáze: | OpenAIRE |
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