Implementation of a Calcium based plasticity learning model VLSI chip

Maldonado Huayaney FL (2016)
Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan.

Kurzbeitrag Konferenz / Poster | Englisch
 
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Erscheinungsjahr
2016
Konferenz
2nd International Symposium and Workshop on Cognitive Neuroscience Robotics
Konferenzort
Osaka, Japan
Konferenzdatum
2016-02-21 – 2016-02-22
Page URI
https://pub.uni-bielefeld.de/record/2906915

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Maldonado Huayaney FL. Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan.
Maldonado Huayaney, F. L. (2016). Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan
Maldonado Huayaney, Frank Lucio. 2016. “Implementation of a Calcium based plasticity learning model VLSI chip”. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan .
Maldonado Huayaney, F. L. (2016).“Implementation of a Calcium based plasticity learning model VLSI chip”. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan.
Maldonado Huayaney, F.L., 2016. Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan.
F.L. Maldonado Huayaney, “Implementation of a Calcium based plasticity learning model VLSI chip”, Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan, 2016.
Maldonado Huayaney, F.L.: Implementation of a Calcium based plasticity learning model VLSI chip. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan (2016).
Maldonado Huayaney, Frank Lucio. “Implementation of a Calcium based plasticity learning model VLSI chip”. Presented at the 2nd International Symposium and Workshop on Cognitive Neuroscience Robotics, Osaka, Japan, 2016.
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