Publications associées à Perceptual learning: why mice do not play backgammon

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Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Max-Olivier Hongler, Julio Rodriguez

We study the dynamics of a network consisting of N diffusively coupled, stable- limit-cycle oscillators on which individual frequencies are parametrized by

w_k, k = 1, . . . ,N

. We introduce a learning rule which influences the wk by driving the system t ...

2009

Perceptual learning: why mice do not play backgammon

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Stimulus sampling as an exploration mechanism for fast reinforcement learning

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Simulating Learning Dynamics in Project Networks

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

New Fast Training Algorithm Suitable For Hardware Kohonen Neural Networks Designed For Analysis Of Biomedical Signals

Temporal patterning of 'unlearnable' stimuli types does not always enable learning

Anesthesia prevents auditory perceptual learning

Human perceptual learning by mental imagery

Neural modeling of the cortical processes underlying imitative behaviors

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios

Stimulus sampling as an exploration mechanism for fast reinforcement learning

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Temporal patterning of 'unlearnable' stimuli types does not always enable learning

Simulating Learning Dynamics in Project Networks

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

New Fast Training Algorithm Suitable For Hardware Kohonen Neural Networks Designed For Analysis Of Biomedical Signals

Anesthesia prevents auditory perceptual learning

Neural modeling of the cortical processes underlying imitative behaviors

Human perceptual learning by mental imagery

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward- based Scenarios