A rotational motion perception neural network based on asymmetric spatiotemporal visual information processing

Hu, Bin and Yue, Shigang and Zhang, Zhuhong (2017) A rotational motion perception neural network based on asymmetric spatiotemporal visual information processing. IEEE Transactions on Neural Networks and Learning Systems, 28 (11). pp. 2803-2821. ISSN 2162-237X

24936 20160716_HB_RotationPerception_revised_final_v.2.pdf
24936 20160716_HB_RotationPerception_revised_final_v.2.pdf - Whole Document

Item Type:Article
Item Status:Live Archive


All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferences to each of the three motion elements. There are computational models on translation and expansion/contraction perceptions; however, little has been done in the past to create computational models for rotational motion perception. To fill this gap, we proposed a neural network that utilizes a specific spatiotemporal arrangement of asymmetric lateral inhibited direction selective neural networks (DSNNs) for rotational motion perception. The proposed neural network consists of two parts-presynaptic and postsynaptic parts. In the presynaptic part, there are a number of lateral inhibited DSNNs to extract directional visual cues. In the postsynaptic part, similar to the arrangement of the directional columns in the cerebral cortex, these direction selective neurons are arranged in a cyclic order to perceive rotational motion cues. In the postsynaptic network, the delayed excitation from each direction selective neuron is multiplied by the gathered excitation from this neuron and its unilateral counterparts depending on which rotation, clockwise (cw) or counter-cw (ccw), to perceive. Systematic experiments under various conditions and settings have been carried out and validated the robustness and reliability of the proposed neural network in detecting cw or ccw rotational motion. This research is a critical step further toward dynamic visual information processing.

Keywords:Neurons, Biological neural networks, Visualization, Biological system modeling, Computational modeling, Machine vision, visual motion perception., Asymmetric lateral inhibition, directional columns, direction selective neurons, multiplication, rotation selective neuron, spatiotemporal computation
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:24936
Deposited On:08 Nov 2016 21:07

Repository Staff Only: item control page