According to the classical efficient-coding hypothesis, biological neurons are naturally adapted to transmit and process information about the stimulus in an optimal way. Shannon's information theory provides methods to compute the fundamental limits on maximal information transfer by a general system. Understanding how these limits differ between different classes of neurons may help us to better understand how sensory and other information is processed in the brain. In this work we provide a brief review of information theory and its use in computational neuroscience. We use mathematical models of neuronal cells with stochastic input that realistically reproduce different activity patterns observed in real cortical neurons. By employing t...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
The information channel capacity of neurons is calculated in the stochastic resonance region by usin...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
The brain is an information processing machine and thus naturally lends itself to be studied using c...
Abstract Neurons respond to external stimuli by emitting sequences of action potentials (spike train...
Published online: 7 March 2013The limits on maximum information that can be transferred by single ne...
The way brain networks maintain high transmission efficiency is believed to be fundamental in unders...
© World Scientific Publishing CompanyThe information channel capacity of neurons is calculated in th...
Many systems in nature process information by transforming inputs from their environments into obser...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Information theory quantifies how much information a neural response carries about the stimulus. Thi...
Information theory is a practical and theoretical framework developed for the study of communication...
Information theory is a practical and theoretical framework developed for the study of communication...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Neuroscience extensively uses the information theory to describe neural communication, among others,...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
The information channel capacity of neurons is calculated in the stochastic resonance region by usin...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
The brain is an information processing machine and thus naturally lends itself to be studied using c...
Abstract Neurons respond to external stimuli by emitting sequences of action potentials (spike train...
Published online: 7 March 2013The limits on maximum information that can be transferred by single ne...
The way brain networks maintain high transmission efficiency is believed to be fundamental in unders...
© World Scientific Publishing CompanyThe information channel capacity of neurons is calculated in th...
Many systems in nature process information by transforming inputs from their environments into obser...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Information theory quantifies how much information a neural response carries about the stimulus. Thi...
Information theory is a practical and theoretical framework developed for the study of communication...
Information theory is a practical and theoretical framework developed for the study of communication...
The overarching purpose of the studies presented in this report is the exploration of the uses of in...
Neuroscience extensively uses the information theory to describe neural communication, among others,...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
The information channel capacity of neurons is calculated in the stochastic resonance region by usin...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...