4 papers
Bounds on the rates of statistical divergences and mutual information via stochastic thermodynamics
Jan Karbowski
Statistical divergences are important tools in data analysis, information theory, and statistical physics, and there exist well known inequalities on their bounds. However, in many…
Information thermodynamics: from physics to neuroscience
Jan Karbowski
This paper provides a perspective on applying the concepts of information thermodynamics, developed recently in non-equilibrium statistical physics, to problems in theoretical neur…
Cooperativity, information gain, and energy cost during early LTP in dendritic spines
Jan Karbowski, Paulina Urban
We investigate a mutual relationship between information and energy during early phase of LTP induction and maintenance in a large-scale system of mutually coupled dendritic spines…
Explicit mutual information for simple networks and neurons with lognormal activities
Maurycy ChwiÅka, Jan Karbowski
Networks with stochastic variables described by heavy tailed lognormal distribution are ubiquitous in nature, and hence they deserve an exact information-theoretic characterization…