Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rock Z. Shi
dblp:32/3907
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design
analog and mixed-signal circuits |
0.0 | 1 | 2003 | A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003 |
Emerging computing paradigms
neuromorphic computing |
0.0 | 1 | 2003 | A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003 |
Emerging computing paradigms › neuromorphic hardware
spiking neural network hardware |
0.0 | 1 | 2003 | A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems · NIPS 2003 |
Integrated circuit design
low-power circuit design |
0.0 | 1 | 2003 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural SystemsabstractSynapses 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 |
NIPS | 1 |