Information gain on variable neuronal firing rate

On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing

Cortical neurons receive barrages of excitatory and inhibitory inputs which are not independent, as network structure and synaptic kinetics impose statistical correlations. Experiments in vitro and in vivo have demonstrated correlations between inhibitory and excitatory synaptic inputs in which inhibition lags behind excitation in cortical neurons. This delay arises in feed-forward inhibition (...

On the rate of gain of information

Direct control of firing rate gain by dendritic shunting inhibition.

The firing rate gain of neurons, defined as the slope of the relation between input to a neuron and its firing rate, has received considerable attention in the past few years. This has been largely motivated by the many experimental demonstrations of behavior related gain changes in a variety of neural circuits of the CNS. A surprising result was that a prime candidate, shunting inhibition, app...

the influence of a1 adenosine receptors on paragigantocellularis neuronal firing rate in morphine-dependent rats

introduction: activity of the paragigantocellularis (pgi) nucleus located in the rostral ventrolateral medulla is the mediator of dependence, tolerance and withdrawal syndrome. the most important systems which change their activity during morphine consumption include glutaminergic, opioidergicand purinergic (especially adenosine) receptors in the pgi nucleus. however, it has been shown that the...

Determine Neuronal Tuning Curves by Exploring Optimum Firing Rate Distribution for Information Efficiency

This paper proposed a new method to determine the neuronal tuning curves for maximum information efficiency by computing the optimum firing rate distribution. Firstly, we proposed a general definition for the information efficiency, which is relevant to mutual information and neuronal energy consumption. The energy consumption is composed of two parts: neuronal basic energy consumption and neur...