A Computational Model of Grid Cells based on a Recursive Growing Neural Gas

Jochen Kerdels (Autor)

Buch | Hardcover

276 Seiten

2016 | 3. Auflage
BoD – Books on Demand (Verlag)
978-3-7392-3939-2 (ISBN)

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The entorhinal cortex of rat contains neurons, called "grid cells", that exhibit a very peculiar behavior. Discovered about a decade ago, the activity of these cells was found to correlate with the allocentric position of the animal by forming a regular, hexagonal lattice of firing fields across the entire environment. Due to this unusual behavior and the proximity of the entorhinal cortex to other brain regions that also contain cells with spatially correlated activity grid cells are commonly recognized as an important elementof a neuronal system for navigation. Existing computational models of grid cells share this view and typically describe the behavior of grid cells as a path integration component of such a system.This work presents a new, complementary computational model of grid cells. In contrast to existing models it does not assume that grid cells are a specialized component of a navigational system. Instead, it assumes that the activity of grid cells reflects a general principle by which neurons in higher order parts of the cortex process information. The proposed model extends the growing neural gas approach by Bernd Fritzke into a recursive algorithm that describes the joint behavior of grid cells in a group as well as the processes within each individual cell. The work demonstrates that the chosen approach is able to model the characteristic behavior of grid cells and other cells, that also exhibit grid cell-like firing patterns but whose activity does not correlate with the animal's location in the environment.

Jochen Kerdels holds a diploma in Computer Science from TU Dortmund University. He subsequently worked as a Researcher in the fields of mobile and underwater robotics at the German Research Center for Artificial Intelligence (DFKI) in Bremen. Since 2010 he works as a Researcher at the University of Hagen where he finished his Ph.D. under the supervision of Prof. Gabriele Peters at the Chair of Human–Computer Interaction. His current research focuses on computational models of neurobiological systems in general and hippocampal grid cells in particular.

Erscheinungsdatum	04.04.2020
Sprache	englisch
Maße	160 x 226 mm
Gewicht	562 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
Themenwelt	Naturwissenschaften
Schlagworte	Cognitive Neuroscience • Computational modeling • grid cells • machine learning • Mathematik und Naturwissenschaften • Self-Organization
ISBN-10	3-7392-3939-5 / 3739239395
ISBN-13	978-3-7392-3939-2 / 9783739239392
Zustand	Neuware