Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons
Abstract
We have constructed a system that uses an array of 9,600 spiking sili- con neurons, a fast microcontroller, and digital memory, to implement a reconfigurable network of integrate-and-fire neurons. The system is designed for rapid prototyping of spiking neural networks that require high-throughput communication with external address-event hardware. Arbitrary network topologies can be implemented by selectively rout- ing address-events to specific internal or external targets according to a memory-based projective field mapping. The utility and versatility of the system is demonstrated by configuring it as a three-stage network that accepts input from an address-event imager, detects salient regions of the image, and performs spatial acuity modulation around a high-resolution fovea that is centered on the location of highest salience.
Cite
Text
Vogelstein et al. "Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons." Neural Information Processing Systems, 2004.Markdown
[Vogelstein et al. "Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons." Neural Information Processing Systems, 2004.](https://mlanthology.org/neurips/2004/vogelstein2004neurips-saliencydriven/)BibTeX
@inproceedings{vogelstein2004neurips-saliencydriven,
title = {{Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons}},
author = {Vogelstein, R. J. and Mallik, Udayan and Culurciello, Eugenio and Cauwenberghs, Gert and Etienne-Cummings, Ralph},
booktitle = {Neural Information Processing Systems},
year = {2004},
pages = {1457-1464},
url = {https://mlanthology.org/neurips/2004/vogelstein2004neurips-saliencydriven/}
}