1095 search results - page 21 / 219 » Recurrent neural network based language model |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
NN
2006
Springer
14 years 9 months ago
2006
Springer
In theories of cognition that view the mind as a system of interacting agents, there must be mechanisms for aggregate decision-making, such as voting. Here we show that certain vo...
117
Voted
NGC
2010
Springer
14 years 4 months ago
2010
Springer
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
ICA
2010
Springer
14 years 8 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
105
Voted
JCNS
2000
14 years 9 months ago
2000
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...