1707 search results - page 21 / 342 » Modeling spiking neural networks |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
JMLR
2002
13 years 7 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
DNA
2007
Springer
14 years 1 months ago
2007
Springer
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
IJCNN
2007
IEEE
14 years 2 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...
BC
2002
13 years 7 months ago
2002
Synchronously spiking neurons have been observed in the cerebral cortex and the hippocampus. In computer models, synchronous spike volleys may be propagated across appropriately co...