Models of MT and MST areas using wake-sleep algorithm.

Katsuki Katayama; Masataka Ando; Tsuyoshi Horiguchi

doi:10.1016/j.neunet.2003.07.004

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Models of MT and MST areas using wake-sleep algorithm.

Katsuki Katayama·Masataka Ando·Tsuyoshi Horiguchi

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Abstract

We present two-layered neural network models with Q (> or =2)-states neurons for a system with middle temporal (MT) neurons and medial superior temporal (MST) neurons by using a wake-sleep algorithm proposed by Hinton et al.; we notice that the wake-sleep algorithm consists of local learning rules. We first investigate a model with binary neurons for response properties of the MST neurons to optical flows as for various types of motion. We next extend the model with binary neurons to a model with Q (> or =3)-states neurons and investigate the response properties of the MST neurons for various values of Q (> or =3). We obtain better response properties for the model with Q (> or =3)-states neurons than for the one with binary neurons.

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Algorithms Animals Computer Simulation Motion Perception Neural Networks, Computer Neurons Photic Stimulation Sleep Visual Cortex Wakefulness Comparative Study Journal Article Research Support, Non-U.S. Gov't

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Katsuki Katayama, Masataka Ando, Tsuyoshi Horiguchi. 2004. Models of MT and MST areas using wake-sleep algorithm.. https://doi.org/10.1016/j.neunet.2003.07.004

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