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Information driven self-organization of complex robotic behaviorsQuantitative tools for examining the vocalizations of juvenile songbirdsExploring statistical and population aspects of network complexityThe major transitions of life from a network perspectiveNetwork-level analysis of cortical thickness of the epileptic brainApplication of computational mechanics to the analysis of natural data: an example in geomagnetism.Data compression and information retrieval via symbolization.Periodic orbits in coupled Henon maps: Lyapunov and multifractal analysis.Analysis of the phase transition in the two-dimensional Ising ferromagnet using a Lempel-Ziv string-parsing scheme and black-box data-compression utilities.Flexible parallel implementation of logic gates using chaotic elements.Computing with distributed chaos.Keep your options open: an information-based driving principle for sensorimotor systems.Statistic complexity: combining kolmogorov complexity with an ensemble approachThe evolution of emergent computation.A new method for inferring hidden markov models from noisy time sequences.Structural drift: the population dynamics of sequential learning.Quantifying the evolutionary self-structuring of embodied cognitive networks.Eliminating the mystery from the concept of emergence.Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach.Structural properties and complexity of a new network class: Collatz step graphsBalance between noise and information flow maximizes set complexity of network dynamics.Objects that make objects: the population dynamics of structural complexityThe complexity of sequences generated by the arc-fractal system.Behavior of Early Warnings near the Critical Temperature in the Two-Dimensional Ising ModelTime resolution dependence of information measures for spiking neurons: scaling and universality.Thermodynamics of complexity and pattern manipulation.Multiscale complex network of protein conformational fluctuations in single-molecule time series.Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.Time series analysis of spontaneous upper-extremity movements of premature infants with brain injuries.Entropy, complexity, and Markov diagrams for random walk cancer models.Patterns of structural complexity in Alzheimer's disease and frontotemporal dementia.Experimentally modeling stochastic processes with less memory by the use of a quantum processor.Nature computes: information processing in quantum dynamical systems.Challenges for complexity measures: A perspective from social dynamics and collective social computation.The functional benefits of criticality in the cortex.Nearly maximally predictive features and their dimensions.What did Erwin mean? The physics of information from the materials genomics of aperiodic crystals and water to molecular information catalysts and life.Elusive present: Hidden past and future dependency and why we build models.Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis.PERSPECTIVE METAZOAN COMPLEXITY AND EVOLUTION: IS THERE A TREND?
P2860
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P2860
description
1989 nî lūn-bûn
@nan
1989 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
1989 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
1989年の論文
@ja
1989年論文
@yue
1989年論文
@zh-hant
1989年論文
@zh-hk
1989年論文
@zh-mo
1989年論文
@zh-tw
1989年论文
@wuu
name
Inferring statistical complexity
@ast
Inferring statistical complexity
@en
Inferring statistical complexity
@nl
type
label
Inferring statistical complexity
@ast
Inferring statistical complexity
@en
Inferring statistical complexity
@nl
prefLabel
Inferring statistical complexity
@ast
Inferring statistical complexity
@en
Inferring statistical complexity
@nl
P2860
P1476
Inferring statistical complexity
@en
P2093
Karl Young
P2860
P304
P356
10.1103/PHYSREVLETT.63.105
P407
P577
1989-07-01T00:00:00Z
1989-07-10T00:00:00Z