Design and Simulation of a Hierarchical Parallel Distributed Processing Model for Orientation Selection Based on Primary Visual Cortex

Abstract

The study of the human visual system not only helps to understand the mechanism of the visual system but also helps to develop visual aid systems to help the visually impaired. As the systematic study of neural signal processing mechanisms in early biological vision continues, the hierarchical structure of the visual system is gradually being dissected, bringing the possibility of building brain-like computational models from a bionic perspective. In this paper, we follow the objective facts of neurobiology and propose a parallel distributed processing computational model of primary visual cortex orientation selection with reference to the complex process of visual signal processing and transmission between the retina to the primary visual cortex, the hierarchical receptive field structure between cells in each layer, and the very fine-grained parallel distributed characteristics of cortical visual computation, which allow for high speed and efficiency. We approach the design from a brain-like chip perspective, map our network model on the field programmable gate array (FPGA), and perform simulation experiments. The results verify the possibility of implementing our proposed model with programmable devices, which can be applied to small wearable devices with low power consumption and low latency.

Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans

“…The meaning of studying the whole-brain model of a creature is profound, not only in neuroscience but also in other areas of research, focusing on the intelligent implementation of the BNN mechanisms that control complicated behaviors [ 52 ]. Therefore, this study not only builds a whole-brain model but concentrates on how to combine the unique control methodology of the neural model with robotics to provide guidelines on bio-mimic intelligent control based on robotics.…”