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Updated: Jun 25, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
Reinforcement learning in populations of spiking neurons
Robert Urbanczik1, Walter Senn
1Department of Physiology, University of Bern, Bühlplatz 5, CH-3012 Bern, Switzerland.
Abstract:
Population coding is widely regarded as an important mechanism for achieving reliable behavioral responses despite neuronal variability. However, standard reinforcement learning slows down with increasing population size, as the global reward signal becomes less and less related to the performance of any single neuron. We found that learning speeds up with increasing population size if, in addition to global reward, feedback about the population response modulates synaptic plasticity.
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