374 search results - page 3 / 75 » From Neuron to Neural Networks dynamics |
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
EWLR
1999
Springer
13 years 9 months ago
1999
Springer
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
DAGSTUHL
2003
13 years 6 months ago
2003
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
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Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
IJCNN
2007
IEEE
13 years 11 months 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...