P
Peiran Gao
Researcher at Stanford University
Publications - 14
Citations - 2013
Peiran Gao is an academic researcher from Stanford University. The author has contributed to research in topics: Neuromorphic engineering & Neurogrid. The author has an hindex of 10, co-authored 14 publications receiving 1557 citations. Previous affiliations of Peiran Gao include University of California & University of California, Berkeley.
Papers
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Journal ArticleDOI
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
Ben Varkey Benjamin,Peiran Gao,Emmett McQuinn,Swadesh Choudhary,Anand R. Chandrasekaran,Jean-Marie Bussat,Rodrigo Alvarez-Icaza,John V. Arthur,Paul A. Merolla,Kwabena Boahen +9 more
TL;DR: Neurogrid as discussed by the authors is a real-time neuromorphic system for simulating large-scale neural models in real time using 16 Neurocores, including axonal arbor, synapse, dendritic tree, and soma.
Journal ArticleDOI
On simplicity and complexity in the brave new world of large-scale neuroscience
Peiran Gao,Surya Ganguli +1 more
TL;DR: Potential avenues for progress are outlined, including new theories of high dimensional data analysis, the need to analyze complex artificial networks, and methods for analyzing entire spaces of circuit models, rather than one model at a time.
Posted ContentDOI
A theory of multineuronal dimensionality, dynamics and measurement
Peiran Gao,Eric M. Trautmann,Byron M. Yu,Gopal Santhanam,Stephen I. Ryu,Krishna V. Shenoy,Surya Ganguli +6 more
TL;DR: A theory is presented that reveals conceptual insights into how task complexity governs both neural dimensionality and accurate recovery of dynamic portraits, thereby providing quantitative guidelines for future large-scale experimental design.
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations This paper describes the design of the first hardware system to provide computational neuroscientists with the capability of performing biological real-time simulations of a million neurons and their synaptic connections.
Ben Varkey Benjamin,Peiran Gao,Emmett McQuinn,Swadesh Choudhary,Anand R. Chandrasekaran,Jean-Marie Bussat,Rodrigo Alvarez-Icaza,John V. Arthur,Paul A. Merolla,Kwabena Boahen +9 more
TL;DR: The design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time, is described-for the first time-using 16 Neurocores integrated on a board that consumes three watts.
Book ChapterDOI
Silicon neurons that compute
Swadesh Choudhary,Steven A. Sloan,Sam Fok,Alexander Neckar,Eric M. Trautmann,Peiran Gao,Terry Stewart,Chris Eliasmith,Kwabena Boahen +8 more
TL;DR: This work uses neuromorphic chips to perform arbitrary mathematical computations for the first time with heterogeneous spiking silicon neurons, and provides a promising alternative for extremely power-constrained embedded controllers, such as fully implantable neuroprosthetic decoders.