Cargando…

Information Processing Capacity of Dynamical Systems

Many dynamical systems, both natural and artificial, are stimulated by time dependent external signals, somehow processing the information contained therein. We demonstrate how to quantify the different modes in which information can be processed by such systems and combine them to define the comput...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dambre, Joni, Verstraeten, David, Schrauwen, Benjamin, Massar, Serge
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2012
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400147/ https://www.ncbi.nlm.nih.gov/pubmed/22816038 http://dx.doi.org/10.1038/srep00514

Ejemplares similares

Information processing using a single dynamical node as complex system
por: Appeltant, L., et al.
Publicado: (2011)

Automated Design of Complex Dynamic Systems
por: Hermans, Michiel, et al.
Publicado: (2014)

Optoelectronic Reservoir Computing
por: Paquot, Y., et al.
Publicado: (2012)

A Bayesian Model for Exploiting Application Constraints to Enable Unsupervised Training of a P300-based BCI
por: Kindermans, Pieter-Jan, et al.
Publicado: (2012)

Trainable hardware for dynamical computing using error backpropagation through physical media
por: Hermans, Michiel, et al.
Publicado: (2015)

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
por: Laporte, Floris, et al.
Publicado: (2019)

A training algorithm for networks of high-variability reservoirs
por: Freiberger, Matthias, et al.
Publicado: (2020)

Simulating self-learning in photorefractive optical reservoir computers
por: Laporte, Floris, et al.
Publicado: (2021)

Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics
por: Burms, Jeroen, et al.
Publicado: (2015)

Comparing different nonlinearities in readout systems for optical neuromorphic computing networks
por: Ma, Chonghuai, et al.
Publicado: (2021)

Brain information processing capacity modeling
por: Li, Tongtong, et al.
Publicado: (2022)

Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout
por: Ma, Chonghuai, et al.
Publicado: (2021)

Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths
por: Gooskens, Emmanuel, et al.
Publicado: (2023)

A Differentiable Physics Engine for Deep Learning in Robotics
por: Degrave, Jonas, et al.
Publicado: (2019)

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry
por: Lugnan, Alessio, et al.
Publicado: (2020)

Stochastic processes in information and dynamical systems
por: Wong, Eugene
Publicado: (1971)

Adaptation of the Cryogenic System Capacity for the LHC Dynamic Heat Load - Operational Experience
por: Brodzinski, Krzysztof, et al.
Publicado: (2018)

Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning
por: Urbain, Gabriel, et al.
Publicado: (2017)

Body Randomization Reduces the Sim-to-Real Gap for Compliant Quadruped Locomotion
por: Vandesompele, Alexander, et al.
Publicado: (2019)

The Understanding Capacity and Information Dynamics in the Human Brain
por: Yufik, Yan M.
Publicado: (2019)

Publisher Correction: Brain information processing capacity modelling
por: Li, Tongtong, et al.
Publicado: (2022)

Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
por: Katumba, Andrew, et al.
Publicado: (2018)

All-optical information-processing capacity of diffractive surfaces
por: Kulce, Onur, et al.
Publicado: (2021)

Working memory capacity and redundant information processing efficiency
por: Endres, Michael J., et al.
Publicado: (2015)

Quantum processes, systems and information
por: Schumacher, Benjamin, et al.
Publicado: (2010)

Human skeletal muscle mitochondrial dynamics in relation to oxidative capacity and insulin sensitivity
por: Houzelle, Alexandre, et al.
Publicado: (2020)

Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma
por: Rich, Erin L., et al.
Publicado: (2017)

Working Memory Capacity as a Dynamic Process
por: Simmering, Vanessa R., et al.
Publicado: (2013)

Secure and Robust Transmission and Verification of Unknown Quantum States in Minkowski Space
por: Kent, Adrian, et al.
Publicado: (2014)

On Improving The Computing Capacity of Dynamical Systems
por: Athanasiou, Vasileios, et al.
Publicado: (2020)

Dynamic information and library processing
por: Salton, Gerard
Publicado: (1975)

Optimal nonlinear information processing capacity in delay-based reservoir computers
por: Grigoryeva, Lyudmila, et al.
Publicado: (2015)

Dynamic Buffer Capacity in Acid–Base Systems
por: Michałowska-Kaczmarczyk, Anna M., et al.
Publicado: (2015)

Enabling Automated Device Size Selection for Transcatheter Aortic Valve Implantation
por: Astudillo, Patricio, et al.
Publicado: (2019)

Neural information processing with dynamical synapses
por: Wu, Si, et al.
Publicado: (2013)

A refined information processing capacity metric allows an in-depth analysis of memory and nonlinearity trade-offs in neurocomputational systems
por: Schulte to Brinke, Tobias, et al.
Publicado: (2023)

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes
por: Verhoeven, Thibault, et al.
Publicado: (2017)

Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition
por: Newman, Ehren L., et al.
Publicado: (2022)

Integrated information as a common signature of dynamical and information-processing complexity
por: Mediano, Pedro A. M., et al.
Publicado: (2022)

Dynamics of Information Systems
por: Hirsch, Michael J, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_h7dfdgfj753eaof9cl7snfapt8