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CICC
2011
106views more  CICC 2011»
12 years 7 months ago
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....
ARCS
2005
Springer
14 years 1 months ago
Organic Architectures for Large-Scale Environment-Aware Sensor Networks
This paper examines how methods inspired by biological processes can be applied to the design of large-scale environment-aware sensor networks. Our ultimate goal are systems conta...
Paul Lukowicz, Erhardt Barth, Jan T. Kim
ISCAS
2007
IEEE
114views Hardware» more  ISCAS 2007»
14 years 1 months ago
The RunBot Architecture for Adaptive, Fast, Dynamic Walking
— In this paper we will present the architecture of the planar biped robot “RunBot”. It has been developed on the basis of three hierarchical levels: Biomechanical, Local and...
Poramate Manoonpong, Tao Geng, Bernd Porr, Florent...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 1 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
NIPS
1994
13 years 9 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov