22 search results - page 2 / 5 » Bayesian inference in spiking neurons |
NIPS
2003
14 years 6 days ago
2003
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
ECML
2007
Springer
14 years 5 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
NIPS
2004
14 years 6 days ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
SP
2008
IEEE
13 years 10 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
NECO
2008
13 years 10 months ago
2008