Dynamic range maximization in excitable networks
نویسندگان
چکیده
منابع مشابه
Dynamic range of hypercubic stochastic excitable media.
We study the response properties of d-dimensional hypercubic excitable networks to a stochastic stimulus. Each site, modeled either by a three-state stochastic susceptible-infected-recovered-susceptible system or by the probabilistic Greenberg-Hastings cellular automaton, is continuously and independently stimulated by an external Poisson rate h. The response function (mean density of active si...
متن کاملEnhanced dynamic range in a sensory network of excitable elements
Sensory arrays made of coupled excitable elements can improve both their input sensitivity and dynamic range due to collective non-linear wave properties. This mechanism is studied in a neural network of electrically coupled (e.g. via gap junctions) elements subject to a Poisson signal process. The network response interpolates between a Weber-Fechner logarithmic law and a Stevens power law dep...
متن کاملDynamic Range Analysis of HH Model for Excitable Neurons
Brain exercises control over other organs of the body. This complex control process, is completed in steps which involves commands issued to the muscles to execute movements, receipt of feedback from sensors reporting the actual state of the musculature & skeletal elements, and inputs from the senses to monitor progress towards the goal. This is made possible by neurons through communicating wi...
متن کاملHow to enhance the dynamic range of excitatory-inhibitory excitable networks.
We investigate the collective dynamics of excitatory-inhibitory excitable networks in response to external stimuli. How to enhance the dynamic range, which represents the ability of networks to encode external stimuli, is crucial to many applications. We regard the system as a two-layer network (E layer and I layer) and explore the criticality and dynamic range on diverse networks. Interestingl...
متن کاملOptimal Dynamical Range of Excitable Networks at Criticality
A recurrent idea in the study of complex systems is that optimal information processing is to be found near bifurcation points or phase transitions. However, this heuristic hypothesis has few (if any) concrete realizations where a standard and biologically relevant quantity is optimized at criticality. Here we give a clear example of such a phenomenon: a network of excitable elements has its se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chaos: An Interdisciplinary Journal of Nonlinear Science
سال: 2018
ISSN: 1054-1500,1089-7682
DOI: 10.1063/1.4997254