Title :
Cortical integration of bottom-up, top-down and horizontal information in biological motion recognition
Author :
Das, Sandhitsu ; Finkel, L.H.
Author_Institution :
Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
We propose a cortical architecture for integrating top-down, bottom-up and horizontal inputs, and apply this architecture to the problem of biological motion recognition. The mechanism makes use of spike-based computation in order to represent the relative phases of limb motion in terms of precise neuronal spike times. We propose that information regarding spatial relations between features is represented in the system of precise horizontal connections in cortex, whereas the feedforward and feedback pathways are chiefly concerned with the statistics of feature distributions. The architecture allows cellular biophysical-level integration mechanisms to carry out probabilistic inference on streams of afferent input.
Keywords :
feedback; feedforward; inference mechanisms; neurophysiology; object recognition; visual perception; afferent input streams; biological motion recognition; bottom-up information; cellular biophysical-level integration mechanisms; cortex; cortical architecture; cortical integration; feature distribution statistics; feedback pathways; feedforward pathways; horizontal information; limb motion; precise horizontal connections; precise neuronal spike times; probabilistic inference; relative phases; spatial relations; spike-based computation; top-down information; Animals; Biological system modeling; Biology computing; Biomedical engineering; Computer architecture; Displays; Humans; Labeling; Robustness; Sociotechnical systems;
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
DOI :
10.1109/CNE.2003.1196759