Intrinsic Plasticity in Biology

Neurons in various sensory modalities transform the stimuli into series of action potentials The mutual information between input and output distributions should be maximized Biological Evidence: V1 neurons in cat and macaque respond with an approximately exponential distribution of firing rates Synopsis Intrinsic plasticity is the persistent modification of a neuron’s intrinsic electrical properties by neuronal or synaptic activity It has been hypothesized that intrinsic plasticity plays a distinct role in firing rate homeostasis and leads to an approximately exponential distribution of firing rate This work derives two gradient based intrinsic plasticity rules with both rules leading to information maximization Rule 1: Direct maximization of MI Rule 2: Minimize the Kullback-Leibler divergence between OP distribution and a desired exponential distribution IP is achieved by adapting the gain function of a neuron to its input distribution Outline Intrinsic plasticity in biology Computational theory and learning rules Neuron mode