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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 4/2010

01.12.2010 | Original Research

A Kalman filtering approach to the representation of kinematic quantities by the hippocampal-entorhinal complex

verfasst von: Graham Wordsworth Osborn

Erschienen in: Cognitive Neurodynamics | Ausgabe 4/2010

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Abstract

Several regions of the brain which represent kinematic quantities are grouped under a single state-estimator framework. A theoretic effort is made to predict the activity of each cell population as a function of time using a simple state estimator (the Kalman filter). Three brain regions are considered in detail: the parietal cortex (reaching cells), the hippocampus (place cells and head-direction cells), and the entorhinal cortex (grid cells). For the reaching cell and place cell examples, we compute the perceived probability distributions of objects in the environment as a function of the observations. For the grid cell example, we show that the elastic behavior of the grids observed in experiments arises naturally from the Kalman filter. To our knowledge, the application of a tensor Kalman filter to grid cells is completely novel.
Vorheriger Artikel Functional model of biological neural networks
Nächster Artikel Neural coding properties based on spike timing and pattern correlation of retinal ganglion cells

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Metadaten
Titel
A Kalman filtering approach to the representation of kinematic quantities by the hippocampal-entorhinal complex
verfasst von
Graham Wordsworth Osborn
Publikationsdatum
01.12.2010
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 4/2010
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-010-9115-z

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