TY  - GEN
N1  - This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
ID  - cogprints5711
UR  - http://cogprints.org/5711/
A1  - Franzius, Mathias
A1  - Sprekeler, Henning
A1  - Wiskott, Prof. Dr. Laurenz
TI  - Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells
Y1  - 2007/08//
N2  - We present a model for the self-organized formation of place cells, head-direction cells, and spatial-view cells in the hippocampal formation based on unsupervised learning on quasi-natural visual stimuli. The model comprises a hierarchy of Slow Feature Analysis (SFA) nodes, which were recently shown to reproduce many properties of complex cells in the early visual system. The system extracts a distributed grid-like representation of position and orientation, which is transcoded into a localized place-field, head-direction, or view representation, by sparse coding. The type of cells that develops depends solely on the relevant input statistics, i.e., the movement pattern of the simulated animal. The numerical simulations are complemented by a mathematical analysis that allows us to accurately predict the output of the top SFA layer
AV  - public
KW  - Place Cell
KW  -  Head Direction Cell
KW  -  Spatial View Cell
KW  -  Grid Cell
KW  -  SFA
KW  -  Hierarchical Model
KW  -  Slowness
KW  -  Sparse Coding
ER  -

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