Criticality Maximizes Complexity in Neural Tissue
نویسندگان
چکیده
منابع مشابه
Criticality Maximizes Complexity in Neural Tissue
The analysis of neural systems leverages tools from many different fields. Drawing on techniques from the study of critical phenomena in statistical mechanics, several studies have reported signatures of criticality in neural systems, including power-law distributions, shape collapses, and optimized quantities under tuning. Independently, neural complexity-an information theoretic measure-has b...
متن کاملDynamical and Statistical Criticality in a Model of Neural Tissue
For the nervous system to work at all, a delicate balance of excitation and inhibition must be achieved. However, when such a balance is sought by global strategies, only few modes remain balanced close to instability, and all other modes are strongly stable. Here we present a simple model of neural tissue in which this balance is sought locally by neurons following ‘anti-Hebbian’ behavior: all...
متن کاملComplexity, Criticality and Computation
What makes a system “complex”? Is it merely the number of components it integrates, a nonlinear nature of the dependencies and feedbacks among its parts, or an unpredictable behavior it exhibits over time? The term “complexity” was initially applied generically to express the lack of predictability, reflecting on the self-organization of a synergistic macroscopic behavior out of interactions be...
متن کاملComplexity and criticality in Laplacian growth models
We analyze the dynamical evolution of systems which obey simple growth laws, like diffusion limited aggregation or dielectric breakdown. We show that, if the developing patterns is sufficiently complex, a scale invariant noise spectrum is generated, in agreement with the hypothesis that the system is in a self organized critical state. The intrinsic noise generated in the evolution is shown to ...
متن کاملStable Criticality in a Feedforward Neural Network
How do learning processes escape from local optima? Doing so requires an exploration of the landscape at a range of the order of the landscape correlation length – a “long jump” in synapsis space. This brings up a dilemma: because of the high dimensionality of this space, the probability that a random long jump lead to a better optimum is nearly zero. We conjecture that “intelligent” coarse-gra...
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: Frontiers in Physiology
سال: 2016
ISSN: 1664-042X
DOI: 10.3389/fphys.2016.00425