Introduction to the theory of neural computation
Introduction to the theory of neural computation
On-line learning and stochastic approximations
On-line learning in neural networks
Isotropic sequence order learning
Neural Computation
Supervised Learning Through Neuronal Response Modulation
Neural Computation
What Can a Neuron Learn with Spike-Timing-Dependent Plasticity?
Neural Computation
Optimality in mono- and multisensory map formation
Biological Cybernetics
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How can an animal learn from experience? How can it train sensors, such as the auditory or tactile system, based on other sensory input such as the visual system? Supervised spike-timing-dependent plasticity supervised STDP is a possible answer. Supervised STDP trains one modality using input from another one as "supervisor." Quite complex time-dependent relationships between the senses can be learned. Here we prove that under very general conditions, supervised STDP converges to a stable configuration of synaptic weights leading to a reconstruction of primary sensory input.