Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

Triesch, Jochen

Neural Information Processing Systems 

This paper explores the computational consequences of simultaneous intrinsic andsynaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism for a continuous activation model neuron based on low order moments of the neuron's firing rate distribution. Thegoal of the intrinsic plasticity mechanism is to enforce a sparse distribution of the neuron's activity level. In conjunction with Hebbian learning at the neuron's synapses, the neuron is shown to discover sparse directions in the input.

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