TiViPE Simulation of a Cortical Crossing Cell Model

Abstract

Abstract. Many cells in cat and monkey visual cortex (area V1 and area 17) respond to gratings and bar patterns of different orientation between center and surround [18]. It has been shown that these cells respond on average 3.3 times stronger to a crossing pattern than to a single bar [16]. In this paper a computational model for a group of neurons that respond solely to crossing patterns is proposed, and has been implemented in visual programming environment TiViPE [10]. Simulations show that the operator responds very accurately to crossing patterns that have an angular difference between 2 bars of 40 degrees or more, the operator responds appropriately to bar widths that are bound by 50 to 200 percent of the preferred bar width and is insensitive to non-uniform illumination conditions, which appear to be consistent with the experimental results.

Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis

“…To realize and integrate these functional models we use graphical software environment TiViPE [39], as suggested in [40,18,41,19].…”

Retrieving Emotion from Motion Analysis: In a Real Time Parallel Framework for Robots

“…In many ways such a system resembles aspects of brain like functional behavior, its evident that such a robot should be able to process information in real time in a highly parallel way. We have adopted the approach of functional brain modeling [16] and use graphical software environment TiViPE [12] to realize and integrate these functional models, in a similar way as in earlier work [19,15,13,14]. Real time parallelism on a PC has been strongly facilitated by recent developments of graphical processing units (GPUs), not only have these GPUs become fast 1 but they also can be used as general processing units [8].…”