8 search results - page 2 / 2 » A stochastic model of selective visual attention with a dyna... |
NIPS
2004
13 years 6 months ago
2004
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
NIPS
1998
13 years 5 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
NN
2002
Springer
13 years 4 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...