1990
DOI: 10.1109/5.58356
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Neuromorphic electronic systems

Abstract: Biological in forma tion TWO TECHNOLOGIESHistorically, the cost of computation has been directly related to the energy used in that computation. Today's electronic wristwatch does far more computation than the Eniac did when it was built. It is not the computation itself that costs-it is the energy consumed, and the system overhead required to supply that energy and to get rid of the heat: the boxes, the connectors, the circuit boards, the power supply, the fans, all of the superstructure that makes the system… Show more

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Cited by 1,786 publications
(1,141 citation statements)
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“…Modern complementary metal-oxide-semiconductor (CMOS) very large-scale integration (VLSI) technology provides us with a medium that is well-suited to the implementation of neural systems. MOS devices can operate in regimes where their physics are identical to that of key neural structures, and VLSI technology enables extremely dense integration of these devices (Mead, 1990). We believe that the coupling of this technology with neurally inspired architectures will allow us to exploit the potential of spike coding schemes, and ultimately enable us to close the performance gap.…”
Section: Introductionmentioning
confidence: 99%
“…Modern complementary metal-oxide-semiconductor (CMOS) very large-scale integration (VLSI) technology provides us with a medium that is well-suited to the implementation of neural systems. MOS devices can operate in regimes where their physics are identical to that of key neural structures, and VLSI technology enables extremely dense integration of these devices (Mead, 1990). We believe that the coupling of this technology with neurally inspired architectures will allow us to exploit the potential of spike coding schemes, and ultimately enable us to close the performance gap.…”
Section: Introductionmentioning
confidence: 99%
“…The term "neuromorphic" was coined by Carver Mead to describe very large scale integration (VLSI) systems containing electronic analog circuits that mimic neurobiological architectures present in the nervous system [18]. Neuromorphic computation is related to modeling and simulation of networks of neurons and systems using the same organizing principles found in real nervous system.…”
Section: Neuromorphic Engineeringmentioning
confidence: 99%
“…This thesis addresses a number of information processing and modelling problems relevant to the field of computational neuroscience as well as neuromorphic systems engineering (Mead, 1990). …”
Section: Motivationmentioning
confidence: 99%