A neural model of predictive recognition in form pathway of visual cortex.
We present a functional model of form pathway in visual cortex based on predictive coding scheme, in which the prediction is compared with feedforward signals filtered by two kinds of spatial resolution maps, broad and fine resolution map. We propose here the functional role of the prediction and of the two kinds of resolution maps in perception of object form in visual system. The prediction is represented based on memory of dynamical attractors in temporal cortex, categorized by an elemental figure in posterior temporal cortex. The prediction is generated by the feedforward signals of main neurons in broad resolution maps of V(1) and V(4), and then is compared with the feedforward signals of main neurons in fine resolution map of V(1) and V(4).
Suzuki
Nobuyuki
N
Department of Information Network Science, Graduate School of Information Science, University of Electro-Communications, Chofu, Tokyo 182-8585, Japan. szknbyk@nerve.uec.ac.jp
Hashimoto
Nobuhiro
N
Kashimori
Yoshiki
Y
Zheng
MeiHong
M
Kambara
Takeshi
T
D000818:Animals; D003198:Computer Simulation; D005246:Feedback / Q000502:physiology; D005556:Form Perception / Q000502:physiology*; D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D010364:Pattern Recognition, Visual / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology*; D014795:Visual Pathways / Q000502:physiology*