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» Modeling spiking neural networks
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BC
2000
95views more  BC 2000»
15 years 1 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...
103
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IJCNN
2000
IEEE
15 years 6 months ago
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition
This paper examines the computational role of inhibition as it moves towards balancing concurrent excitation using the biologically-inspired Temporal Noisy-Leaky Integrator (TNLI) ...
Chris Christodoulou, Trevor G. Clarkson, John G. T...
IJCNN
2000
IEEE
15 years 6 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
NN
2006
Springer
141views Neural Networks» more  NN 2006»
15 years 1 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston
NN
2006
Springer
234views Neural Networks» more  NN 2006»
15 years 1 months ago
Attention in natural scenes: Neurophysiological and computational bases
How does attention operate in natural scenes? We show that the receptive fields of inferior temporal cortex neurons that implement object representations become small and located ...
Edmund T. Rolls, Gustavo Deco