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» Information complexity of neural networks
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NIPS
2004
15 years 8 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
JCNS
2010
100views more  JCNS 2010»
15 years 1 months ago
Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials
During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. P...
Aman B. Saleem, Paul Chadderton, John Apergis-Scho...
SIGCOMM
2010
ACM
15 years 6 months ago
Energy proportionality of an enterprise network
Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. While strategies for lowerin...
Priya Mahadevan, Sujata Banerjee, Puneet Sharma
PAM
2009
Springer
16 years 1 months ago
Access Point Localization Using Local Signal Strength Gradient
Abstract. Many previous studies have examined the placement of access points (APs) to improve the community’s understanding of the deployment and behavioral characteristics of wi...
Dongsu Han, David G. Andersen, Michael Kaminsky, K...
BMCBI
2011
14 years 10 months ago
Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis
Background: Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information ca...
Artem Lysenko, Michael Defoin-Platel, Keywan Hassa...