43 search results - page 8 / 9 » Lattice Neural Networks with Spike Trains |
104
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NN
2007
Springer
15 years 5 months 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...
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...
117
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NECO
2010
14 years 10 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 ...
ISCAS
2006
IEEE
15 years 5 months ago
2006
IEEE
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
NIPS
2008
15 years 1 months ago
2008
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...