Models of MT and MST areas using wake-sleep algorithm.
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.
Katayama
Katsuki
K
Research Institute of Electrical Communication, Tohoku University, Sendai 980-8577, Japan.
Ando
Masataka
M
Horiguchi
Tsuyoshi
T
D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D009039:Motion Perception / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D012890:Sleep / Q000502:physiology*; D014793:Visual Cortex / Q000166:cytology; D014851:Wakefulness / Q000502:physiology*