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Rock Z. Shi

dblp:32/3907 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 61% Integrated circuit design · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
analog and mixed-signal circuits
0.012003
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003
Emerging computing paradigms
neuromorphic computing
0.012003
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003
Emerging computing paradigms › neuromorphic hardware
spiking neural network hardware
0.012003
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003
Integrated circuit design
low-power circuit design
0.012003
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003

Methods — techniques the papers use, named apart from their topics

kinetic model of synaptic conductance · 0.0
YearPublicationVenuePosition
2003 A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
abstract
Synapses are a critical element of biologically-realistic, spike-based neu- ral computation, serving the role of communication, computation, and modification. Many different circuit implementations of synapse func- tion exist with different computational goals in mind. In this paper we describe a new CMOS synapse design that separately controls quiescent leak current, synaptic gain, and time-constant of decay. This circuit im- plements part of a commonly-used kinetic model of synaptic conduc- tance. We show a theoretical analysis and experimental data for proto- types fabricated in a commercially-available 1.5µm CMOS process.
Rock Z. Shi, Timothy K. Horiuchi
NIPS1