The open connectome project data cluster: Scalable analysis and vision for high-throughput neuroscience

ACM International Conference Proceeding Series

Volumn , Issue , 2013, Pages

  Burns, Randal ^a   Roncal, William Gray ^a   Kleissas, Dean ^a   Lillaney, Kunal ^a   Manavalan, Priya ^a   Perlman, Eric ^c   Berger, Daniel R ^e   Bock, Davi D ^c   Chung, Kwanghun ^a   Grosenick, Logan ^a   Kasthuri, Narayanan ^d   Weiler, Nicholas C ^g   Deisseroth, Karl ^a   Kazhdan, Michael ^b   Lichtman, Jeff ^d   Reid, R Clay ^f   Smith, Stephen J ^g   Szalay, Alexander S ^g   Vogelstein, Joshua T ^b   Vogelstein, R Jacob ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b DUKE UNIVERSITY   (United States)

^c HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^d HARVARD UNIVERSITY   (United States)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^f ALLEN INSTITUTE FOR BRAIN SCIENCE   (United States)

^g STANFORD UNIVERSITY   (United States)

Author keywords

Connectomics; Data intensive computing

Indexed keywords

COMPUTER VISION ALGORITHMS; CONNECTOMICS; DATA-INTENSIVE COMPUTING; ELECTRON MICROSCOPY IMAGES; PARALLEL EXECUTIONS; PROGRAMMING INTERFACE; RESTFUL WEB SERVICES; SPATIAL DATA ORGANIZATIONS;

COMPUTER VISION; MANAGEMENT INFORMATION SYSTEMS; NEUROIMAGING; WEB SERVICES;

DIGITAL STORAGE;

EID: 84882936998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2484838.2484870     Document Type: Conference Paper

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