Improved floating-gate devices using standard CMOS technology

Montalvo, A.J.; Paulos, J.J.

doi:10.1109/55.225583

Cited by 9 publications

(3 citation statements)

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“…The chip includes all of the elements described in this paper except for the capability of programming the nonvolatile weight storage. Although the weights are stored in floating-gate devices, the ability to program the weights with adequate precision for feedforward operations has been proven elsewhere [10], [48], [52].…”

Section: Resultsmentioning

confidence: 99%

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Toward a general-purpose analog VLSI neural network with on-chip learning

Montalvo

Gyurcsik

Paulos

1997

IEEE Trans. Neural Netw.

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This paper describes elements necessary for a general-purpose low-cost very large scale integration (VLSI) neural network. By choosing a learning algorithm that is tolerant of analog nonidealities, the promise of high-density analog VLSI is realized. A 64-synapse, 8-neuron proof-of-concept chip is described. The synapse, which occupies only 4900 mum(2) in a 2-mum technology, includes a hybrid of nonvolatile and dynamic weight storage that provides fast and accurate learning as well as reliable long-term storage with no refreshing. The architecture is user-configurable in any one-hidden-layer topology. The user-interface is fully microprocessor compatible. Learning is accomplished with minimal external support; the user need only present inputs, targets, and a clock. Learning is fast and reliable. The chip solves four-bit parity in an average of 680 ms and is successful in about 96% of the trials.

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Section: Resultsmentioning

confidence: 99%

“…is programmed using hot-electron injection [48] by taking to 12 V, to 5 V, to 10 V and to ground. This condition allows a large current to flow in the channel of and so hot-electrons are injected onto the floating-gate of .…”

Section: A Synapse and Weight Storage Circuitsmentioning

confidence: 99%

Toward a general-purpose analog VLSI neural network with on-chip learning

Montalvo

Gyurcsik

Paulos

1997

IEEE Trans. Neural Netw.

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show abstract

“…Floating-gate (FG) transistors have been shown to be very reliable and precise current sources when directly programmed with a combination of hot-electron injection and Fowler-Nordheim tunnelling [28,29,30,31]. Floating-gate MOS transistors are similar to a standard MOS device with one exception.…”

Section: Floating Gate Transistorsmentioning

confidence: 99%