1359 search results - page 45 / 272 » Neural Dynamics with Stochasticity |
ESANN
2008
14 years 11 months ago
2008
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
APPINF
2003
14 years 11 months ago
2003
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
ICANN
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree ...
NN
1998
Springer
14 years 9 months ago
1998
Springer
The cusp bifurcation provides one of the simplest routes leading to bistability and hysteresis in neuron dynamics. We show that weakly connected networks of neurons near cusp bifu...
ECAL
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...