By Christopher R. Carroll (auth.), Carver Mead, Mohammed Ismail (eds.)

ISBN-10: 146128905X

ISBN-13: 9781461289050

ISBN-10: 1461316391

ISBN-13: 9781461316398

This quantity comprises the lawsuits of a workshop on Analog built-in Neural structures held may possibly eight, 1989, in reference to the overseas Symposium on Circuits and structures. The displays have been selected to surround the total variety of themes presently below examine during this intriguing new self-discipline. Stringent attractiveness standards have been put on contributions: (1) every one description used to be required to incorporate specific characterization of a operating chip, and (2) each one layout used to be to not were released formerly. in numerous situations, the prestige of the undertaking was once no longer recognized until eventually a couple of weeks prior to the assembly date. therefore, the most fresh cutting edge paintings within the box used to be offered. simply because this self-discipline is evolving swiftly, each one venture is particularly a lot a piece in growth. Authors have been requested to commit significant realization to the shortcomings in their designs, in addition to to the striking successes they accomplished. during this method, different employees can now keep away from stumbling into an identical traps, and evolution can continue extra swiftly (and much less painfully). The chapters during this quantity are awarded within the similar order because the corresponding shows on the workshop. the 1st chapters are serious about fmding options to complicated optimization difficulties below a predefmed set of constraints. the 1st bankruptcy studies what's, to the simplest of our wisdom, the 1st neural-chip layout. In every one case, the physics of the underlying digital medium is used to symbolize a price functionality in a usual manner, utilizing purely nearest-neighbor connectivity.

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It was found that assessing costs on travel between cells would have been a more correct choice. Although only subtly different, charging for moving from one cell to the next results in a more accurate reflection of overall path cost than does charging for traversing a given cell. Extended to the more general case of neural systems, this says that the weights should be computed on information where it moves from one processing node to another, rather than computing weights within a given node. More succinctly, costs should be imposed on the communication, and not the computation, that occurs in neural systems.

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Gamble, E. , and Little, J. J. (1988). Parallel integration of vision modules. Science 242:436-440. Poggio, T. and Koch, C. (1985). Ill-posed problems in early vision: from computational theory to analogue networks. Proc. R. Soc. Lond. B 226:303-323. , and Koch, C. (1985). Computational vision and regularization theory. Nature 317:314-319. , and Yuille, A. (1986). A regularized solution to edge detection. Artif. Intell. Lab Memo No. 833 (MIT, Cambridge). A. , Real-time visual computation using analog CMOS processing arrays.

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Analog VLSI Implementation of Neural Systems by Christopher R. Carroll (auth.), Carver Mead, Mohammed Ismail (eds.)


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