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Neuromorphic excitable maps for visual processing
1Department of Psychology, Justus-Liebig University, Giessen, 35390 Germany. rasche15@gmail.com
IEEE Transactions on Neural Networks
|March 28, 2007
Summary
This study introduces a novel excitable membrane for neuromorphic systems, capable of performing multiple visual tasks like contour detection and motion detection with a single parameter adjustment.
Area of Science:
- Neuromorphic Engineering
- Computational Neuroscience
- Computer Vision
Background:
- Excitable membranes are crucial for processing sensory information in biological systems.
- Neuromorphic systems aim to mimic brain functions for efficient computation.
- Current systems often lack flexibility in performing diverse visual tasks.
Purpose of the Study:
- To introduce a novel 2-D excitable membrane for neuromorphic systems.
- To demonstrate its capability in performing various visual tasks.
- To compare the performance of different membrane connectivity configurations.
Main Methods:
- Designed a single 2-D layer of locally connected integrate-and-fire neurons.
- Implemented input propagation in both subthreshold and above-threshold ranges.
- Utilized a single parameter adjustment to switch between visual tasks.
- Compared hexagonal and octagonal connectivity in spiking membranes.
Main Results:
- The excitable membrane successfully performed contour detection, contour propagation, image segmentation, and motion detection.
- A single parameter adjustment enabled seamless switching between these visual tasks.
- Performance variations were observed between hexagonally and octagonally connected membranes.
Conclusions:
- The developed excitable membrane offers a versatile and efficient solution for neuromorphic visual processing.
- Its design facilitates integration into multichip systems.
- Further investigation into connectivity impacts hardware and system suitability.
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