Engineering Intelligent Electronic Systems Based on Computational Neuroscience

被引:12
|
作者
McDonnell, Mark D. [1 ,2 ,3 ]
Boahen, Kwabena [4 ,5 ]
Ijspeert, Auke [6 ,7 ,8 ,9 ,10 ]
Sejnowski, Terrence J. [11 ,12 ,13 ,14 ]
机构
[1] Univ S Australia, Inst Telecommun Res, Computat & Theoret Neurosci Lab, Adelaide, SA 5001, Australia
[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[3] IEEE South Australia SA, Sect Joint Commun & Signal Proc Chapter, Adelaide, SA, Australia
[4] Univ Penn, Philadelphia, PA 19104 USA
[5] Stanford Univ, Brains Silicon Lab, Stanford, CA 94305 USA
[6] Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Switzerland
[7] Ecole Polytech Fed Lausanne, Bioborot Lab BIOROB, CH-1015 Lausanne, Switzerland
[8] IDSIA, Manno, Switzerland
[9] Univ So Calif, Los Angeles, CA USA
[10] Adv Telecommun Res Inst ATR, Kyoto, Japan
[11] Johns Hopkins Univ, Dept Biophys, Baltimore, MD USA
[12] Howard Hughes Med Inst, La Jolla, CA USA
[13] Salk Inst Biol Studies, Computat Neurobiol Lab, La Jolla, CA 92037 USA
[14] Univ Calif San Diego, La Jolla, CA 92093 USA
关键词
Neurology;
D O I
10.1109/JPROC.2014.2314776
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This special issue focuses on elucidating computational neuroscience: an interdisciplinary field of scientific research in which one of the primary goals is to understand how electronic activity in brain cells and networks enables biological intelligence. The objective is to provide a selection of papers that expose and review research efforts in aspects of computational neuroscience that demonstrate its rapidly growing intersection with electrical, electronic and computer engineering, and the prospects for interaction in the near and long-term future. © 2014 IEEE.
引用
收藏
页码:646 / 651
页数:6
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