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» Spiking Neural P Systems with Astrocyte-Like Control
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EAAI
2006
123views more  EAAI 2006»
13 years 7 months ago
Imitation learning with spiking neural networks and real-world devices
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
Harald Burgsteiner
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
14 years 2 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
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
14 years 6 days ago
The parabigeminal nucleus as a recursive estimator
— The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to enco...
Rui Ma, Todd P. Coleman, Joseph G. Malpeli
ICES
2003
Springer
111views Hardware» more  ICES 2003»
14 years 21 days ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...