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» Dynamic Path Planning with Spiking Neural Networks
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ICANN
2001
Springer
13 years 9 months ago
Towards Learning Path Planning for Solving Complex Robot Tasks
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
IJCNN
2007
IEEE
13 years 11 months ago
A Novel Weighted LBG Algorithm for Neural Spike Compression
Abstract— In this paper, we present a weighted Linde-BuzoGray algorithm (WLBG) as a powerful and efficient technique for compressing neural spike data. We compare this technique...
Sudhir Rao, António R. C. Paiva, Jose C. Pr...
ICANN
2001
Springer
13 years 9 months ago
Using Depressing Synapses for Phase Locked Auditory Onset Detection
Auditory onsets are robust features of sounds: because the direct path from sound source to ear is the shortest path, the onset is unaffected by reverberation. Many cells in the c...
Leslie S. Smith
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
13 years 11 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
IJCNN
2006
IEEE
13 years 10 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu