41 search results - page 7 / 9 » Probabilistic Models of Neuronal Spike Trains |
NECO
2010
13 years 4 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
NN
2007
Springer
14 years 15 days ago
2007
Springer
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
IJCNN
2007
IEEE
14 years 21 days ago
2007
IEEE
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
TNN
2011
13 years 1 months ago
2011
—We investigate architectures for time encoding and time decoding of visual stimuli such as natural and synthetic video streams (movies, animation). The architecture for time enc...