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NECO
2006
103views more  NECO 2006»
13 years 9 months ago
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
Jean-Pascal Pfister, Taro Toyoizumi, David Barber,...
NN
2006
Springer
234views Neural Networks» more  NN 2006»
13 years 9 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
NN
1998
Springer
13 years 9 months ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato
NN
2002
Springer
108views Neural Networks» more  NN 2002»
13 years 9 months ago
Dopamine: generalization and bonuses
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
Sham Kakade, Peter Dayan
NN
2002
Springer
13 years 9 months ago
Self-organizing maps with recursive neighborhood adaptation
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...
John Aldo Lee, Michel Verleysen