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NIPS
2004
14 years 11 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
ECCC
2000
14 years 9 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in all common artificialneuralnetwork models. Biological synapses are dynamic, ...
IWANN
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents configuration methods for an existing neuromorphic hardware and shows first experimental results. The utilized mixed-signal VLSI1 device implements a highly a...
NIPS
2000
14 years 11 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....