© World Scientific Publishing CompanyThe information channel capacity of neurons is calculated in the stochastic resonance region using Shannon's formula. This quantity is an effective measure of the quality of signal transfer, unlike the information theoretic calculations previously used, which only characterize the entropy of the output and not the rate of information transfer. The Shannon channel capacity shows a well pronounced maximum versus input noise intensity. The location of the maximum is at a higher input noise level than has been observed for classical measures, such as signal-to-noise ratio.Laszlo B. Kish, Gregory P. Harmer and Derek Abbot
International audienceIn this paper, we evaluate the encoding efficiency of suprathreshold stochasti...
We have investigated information transmission in an array of threshold units. Each unit receives a c...
The information channel capacity of a model neuron with a fixed refractory period δ has been calcula...
The information channel capacity of neurons is calculated in the stochastic resonance region using S...
The information channel capacity of neurons is calculated in the stochastic resonance region by usin...
According to the classical efficient-coding hypothesis, biological neurons are naturally adapted to ...
The way brain networks maintain high transmission efficiency is believed to be fundamental in unders...
We consider the application of Gaussian channel theory (GCT) to the problem of estimating the rate o...
Aperiodic stochastic resonance (ASR) is a phenomenon in which the response of a nonlinear system to ...
This paper analyzes a binary channel by means of information measures based on the Rényi entropy. Th...
Does the nervous system "tune" itself to perform at peak efficiency? Optimal transmission of informa...
By comparing Wiener‘sMMSE on stochastic signal transmission with Shannon’s mutual information first ...
In this paper, we evaluate the encoding efficiency of suprathreshold stochastic resonance (SSR) base...
In this paper, we evaluate the encoding efficiency of suprathreshold stochastic resonance (SSR) base...
Published online: 7 March 2013The limits on maximum information that can be transferred by single ne...
International audienceIn this paper, we evaluate the encoding efficiency of suprathreshold stochasti...
We have investigated information transmission in an array of threshold units. Each unit receives a c...
The information channel capacity of a model neuron with a fixed refractory period δ has been calcula...
The information channel capacity of neurons is calculated in the stochastic resonance region using S...
The information channel capacity of neurons is calculated in the stochastic resonance region by usin...
According to the classical efficient-coding hypothesis, biological neurons are naturally adapted to ...
The way brain networks maintain high transmission efficiency is believed to be fundamental in unders...
We consider the application of Gaussian channel theory (GCT) to the problem of estimating the rate o...
Aperiodic stochastic resonance (ASR) is a phenomenon in which the response of a nonlinear system to ...
This paper analyzes a binary channel by means of information measures based on the Rényi entropy. Th...
Does the nervous system "tune" itself to perform at peak efficiency? Optimal transmission of informa...
By comparing Wiener‘sMMSE on stochastic signal transmission with Shannon’s mutual information first ...
In this paper, we evaluate the encoding efficiency of suprathreshold stochastic resonance (SSR) base...
In this paper, we evaluate the encoding efficiency of suprathreshold stochastic resonance (SSR) base...
Published online: 7 March 2013The limits on maximum information that can be transferred by single ne...
International audienceIn this paper, we evaluate the encoding efficiency of suprathreshold stochasti...
We have investigated information transmission in an array of threshold units. Each unit receives a c...
The information channel capacity of a model neuron with a fixed refractory period δ has been calcula...