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144
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NIPS
2004
15 years 3 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
113
Voted
WSCG
2004
148views more  WSCG 2004»
15 years 3 months ago
Visualization of Dynamic Behaviour of Multi-Agent Systems
The extension of our research on analysis of a single agent or agent communities combining advanced methods of visualization with traditional AI techniques is presented in this pa...
David Rehor, Pavel Slavík, David Kadlecek, ...
130
Voted
ATAL
2010
Springer
15 years 3 months ago
Establishing spatially targeted communication in a heterogeneous robot swarm
We consider a heterogeneous swarm consisting of aerial and wheeled robots. We present a system that enables spatially targeted communication. Our system enables aerial robots to e...
Nithin Mathews, Anders Lyhne Christensen, Eliseo F...
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 3 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
ICA
2010
Springer
15 years 3 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
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