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» Dynamic Path Planning with Spiking Neural Networks
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TROB
2008
97views more  TROB 2008»
13 years 7 months ago
Physical Path Planning Using a Pervasive Embedded Network
Abstract--We evaluate a technique that uses an embedded network deployed pervasively throughout an environment to aid robots in navigation. The embedded nodes do not know their abs...
Keith J. O'Hara, Daniel B. Walker, Tucker R. Balch
ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
14 years 1 months ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri
NIPS
2001
13 years 8 months ago
A theory of neural integration in the head-direction system
Integration in the head-direction system is a computation by which horizontal angular head velocity signals from the vestibular nuclei are integrated to yield a neural representat...
Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian...
CISS
2008
IEEE
14 years 1 months ago
Optimal path planning for mobile backbone networks
— Mobile Backbone Networks are heterogeneous wireless networks in which a subset of the nodes are more capable than others. The more capable nodes are referred to as Mobile Backb...
Anand Srinivas, Eytan Modiano
ISCAS
2006
IEEE
143views Hardware» more  ISCAS 2006»
14 years 1 months ago
Dynamic computation in a recurrent network of heterogeneous silicon neurons
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
Paul Merolla, Kwabena Boahen