A Distributed Neural Code in the Dentate Gyrus and in CA1
| Autor: | Garret D. Stuber, Jessica C. Jimenez, Mazen A. Kheirbek, Lyudmila Kushnir, Stefano Fusi, René Hen, Joshua H. Jennings, Fabio Stefanini, Nicholas I. Woods |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
decoding Computer science hippocampus 1.1 Normal biological development and functioning Population Hippocampus Spatial Behavior Action Potentials Sensory system ENCODE distributed representations Basic Behavioral and Social Science Article 03 medical and health sciences Mice 0302 clinical medicine Calcium imaging Underpinning research population coding Behavioral and Social Science Animals Hippocampal Psychology dentate gyrus place cells education CA1 Region Hippocampal Neurons education.field_of_study Neurology & Neurosurgery General Neuroscience Dentate gyrus Neurosciences CA1 Region correlated activity mixed selectivity calcium imaging 030104 developmental biology nervous system Dentate Gyrus Neurological Calcium Cognitive Sciences Neural coding Neuroscience 030217 neurology & neurosurgery Decoding methods |
| Zdroj: | Neuron, vol 107, iss 4 Neuron |
| Popis: | Neurons are often considered as specialized functional units that encode a single variable. However, many neurons are observed to respond to a mix of disparate sensory, cognitive and behavioral variables. For such representations information is distributed across multiple neurons. Here we find this distributed code in the dentate gyrus and CA1 subregions of the hippocampus. Using calcium imaging in freely moving mice, we decoded the animal’s position, direction of motion and speed from the activity of hundreds of cells. The response properties of individual neurons were only partially predictive of their importance for encoding position. Non-place cells encoded position and contributed to position encoding when combined together with other cells. Indeed, disrupting the correlations between neural activities decreased decoding performance, mostly in CA1. Our analysis indicates that population methods, rather than classical analyses based on single cell response properties, may more accurately characterize the neural code in the hippocampus. |
| Databáze: | OpenAIRE |
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