Communicating Neuronal Ensembles between Neuromorphic Chips
The small number of input-output connections available with standard chip-packaging technology, and the small number of routing layers available in VLSI technology, place severe limitations on the degree of intra- and interchip connectivity that can be realized in multichip neuromorphic systems. Inspired by the success of time-division multiplexing in communications  and computer networks , many researchers have adopted multiplexing to solve the connectivity problem [12, 67, 17]. Multiplexing is an effective way of leveraging the 5 order-of-magnitude difference in bandwidth between a neuron (hundreds of Hz) and a digital bus (tens of megahertz), enabling us to replace dedicated point-to-point connections among thousands of neurons with a handful of high-speed connections and thousands of switches (transistors). This approach pays off in VLSI technology because transistors take up a lot less area than wires, and are becoming relatively more and more compact as the fabrication process scales down to deep submicron feature sizes.
KeywordsChannel Capacity Collision Probability Reset Phase Select Signal Temporal Dispersion
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- Å. Abusland, T. Lande, and M. Høvin. A VLSI communication architecture for stochastically pulse-encoded analog signals. In Proceedings of the IEEE International Symposium on Circuits and Systems, volume 3, pages 401–404, Atlanta, GA, 1996.Google Scholar
- K. Boahen. Retinomorphic vision systems. In Int. Conf. on Microelectronics for Neural Networks, volume 16-5, pages 30–39, Los Alamitos, CA, 1996. EPFL/CSEM/IEEE.Google Scholar
- K. Boahen. Retinomorphic vision systems I: Pixel design. In Proceedings of the IEEE International Symposium on Circuits and Systems, volume supplement, pages 14–19, Atlanta, GA, May 1996.Google Scholar
- K. Boahen. Retinomorphic vision systems II: Communication channel design. In Proceedings of the IEEE International Symposium on Circuits and Systems, volume supplement, pages 9–14, Atlanta, GA, May 1996.Google Scholar
- K. A. Boahen. Retinomorphic Vision Systems: Reverse Engineering the Vertebrate Retina. PhD thesis, California Institute of Technology, Pasadena CA, 1997.Google Scholar
- M. Mahowald. An Analog VLSI Stereoscopic Vision System. Kluwer Academic Pub., Boston, MA, 1994.Google Scholar
- A. F. Murray and L. Tarassenko. Analogue Neural VLSI: A Pulse Stream Approach. Chapman and Hall, London, England, 1994.Google Scholar
- M. Schwartz. Telecommunication Networks: Protocols, Modeling, and Analysis. Addison-Wesley, Reading, MA, 1987.Google Scholar
- M. Sivilotti. Wiring considerations in analog VLSI systems with applications to field programmable networks. PhD thesis, California Institute of Technology, Pasadena CA, 1991.Google Scholar
- A. S. Tanenbaum. Computer Networks. Prentice-Hall International, 2 edition, 1989.Google Scholar