189 search results - page 10 / 38 » A Solid-State Neuron for Spiking Neural Network Implementati... |
IJCNN
2007
IEEE
15 years 6 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...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
ASAP
2009
IEEE
15 years 8 months ago
2009
IEEE
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
: Conventional hardware platforms are far from reaching real-time simulation requirements of complex spiking neural networks (SNN). Therefore we designed an accelerator board with ...
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NIPS
2008
15 years 1 months ago
2008
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...