Scalable biologically inspired neural networks with spike time based learning

Proceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems, LAB-RS 2008

Volumn , Issue , 2008, Pages 29-34

  Long, Lyle N ^a,b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMIC ISSUES; BIOLOGICALLY INSPIRED NEURAL NETWORKS; HUMAN BRAINS; OBJECT ORIENTED; ROBOTIC SYSTEMS; SENSOR DATA; SPIKING NEURAL NETWORKS;

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; NETWORK PROTOCOLS; OBJECT ORIENTED PROGRAMMING; OBJECT RECOGNITION; RAPID SOLIDIFICATION; ROBOTICS; SENSOR DATA FUSION; SENSOR NETWORKS; SIGNAL PROCESSING;

NEURAL NETWORKS;

EID: 53849147548     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LAB-RS.2008.24     Document Type: Conference Paper

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