36 search results - page 3 / 8 » Hierarchical Bayesian Inference in Networks of Spiking Neuro... |
TCS
2008
13 years 5 months ago
2008
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
BC
2007
13 years 5 months ago
2007
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
NIPS
2007
13 years 6 months ago
2007
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...