25 papers · ranked by Valyu relevance
Uzi Harush, Baruch Barzel
Although networks are extensively used to visualize information flow in biological, social and technological systems, translating topology into dynamic flow continues to challenge us, as similar networks exhibit fundamentally different flow patterns, driven by different interaction mechanisms. To uncover a network’s…
Ryan G. James, Blanca Daniella Mansante Ayala, Bahti Zakirov, James P. Crutchfield
'James P. Crutchfield'] Information flow between components of a system takes many forms and is key to understanding the organization and functioning of large-scale, complex systems. We demonstrate three modalities of information flow from time series X to time series Y . Intrinsic information flow exists when the past…
Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
We develop a theoretical framework for defining and identifying flows of information in computational systems. Here, a computational system is assumed to be a directed graph, with "clocked" nodes that send transmissions to each other along the edges of the graph at discrete points in time. We are interested in a…
Ryan G. James, Nix Barnett, James P. Crutchfield
A central task in analyzing complex dynamics is to determine the loci of information storage and the communication topology of information flows within a system. Over the last decade and a half, diagnostics for the latter have come to be dominated by the transfer entropy. Via straightforward examples, we show that it…
Eduardo J. Izquierdo, Paul L. Williams, Randall D. Beer, Gennady Cymbalyuk
'Gennady Cymbalyuk'] Understanding how information about external stimuli is transformed into behavior is one of the central goals of neuroscience. Here we characterize the information flow through a complete sensorimotor circuit: from stimulus, to sensory neurons, to interneurons, to motor neurons, to muscles, to…
Gabriel Matías Lorenz, Nicola M. Engel, Marco Celotto, Loren Kocillari + 3 more
Information theory has deeply influenced the conceptualization of brain information processing and is a mainstream framework for analyzing how neural networks in the brain process information to generate behavior. Information theory tools have been initially conceived and used to study how information about sensory…
Jan Pennekamp, Roman Matzutt, Christopher Klinkmüller, Lennart Bader + 11 more
JAN PENNEKAMP and ROMAN MATZUTT, RWTH Aachen University, Germany CHRISTOPHER KLINKMÜLLER, BPMotion, Australia LENNART BADER and MARTIN SERROR, Fraunhofer FKIE, Germany ERIC WAGNER, Fraunhofer FKIE, Germany and RWTH Aachen University, Germany SIDRA MALIK, Data61 CSIRO, Australia MARIA SPIß and JESSICA RAHN, Institute…
Ada Diaconescu, Louisa Jane Di Felice, Patricia Mellodge
Multi-scale structures are prevalent in both natural and artificial systems, as they can handle increasing complexity [3],[4],[5]. Several terms are employed almost interchangeably across various application domains to refer to the multi-scale concept – e.g., hierarchy, holarchy, multi-level, multi-layer, nested…
Riccardo Manzotti, Kyumin Moon, José F.F. Mendes
In this paper, I argue that information is nothing more than an abstract object; therefore, it does not exist fundamentally. It is neither a concrete physical entity nor a form of “stuff” that “flows” through communication channels or that is “carried” by vehicles or that is stored in memories, messages, books, or…
Yang Tian, Hedong Hou, Yaoyuan Wang, Ziyang Zhang + 1 more
Information transfer between coupled stochastic dynamics, measured by transfer entropy and information flow, is suggested as a physical process underlying the causal relation of systems. While information transfer analysis has booming applications in both science and engineering fields, critical mysteries about its…
Sailash Moirangthem, Karthik Raman
In biological networks, retroactivity describes the feedback from downstream components that can influence and alter the behavior of upstream systems. This effect poses a major challenge to the modular design of synthetic circuits, where upstream modules are expected to function independently of their connections.…
Mireille Conrad, Renaud B Jolivet
Information theory has become an essential tool of modern neuroscience. It can however be difficult to apply in experimental contexts when acquisition of very large datasets is prohibitive. Here, we compare the relative performance of two information theoretic measures, mutual information and transfer entropy, for the…
David P. Shorten, Viola Priesemann, Michael Wibral, Joseph T. Lizier
The brains of many organisms are capable of complicated distributed computation underpinned by a highly advanced information processing capacity. Although substantial progress has been made towards characterising the information flow component of this capacity in mature brains, there is a distinct lack of work…
Ben Humphries, Joshua Kinslow, Dale Green, Garth Jones
Open quantum systems often operate in the non-Markovian regime where a finite history of a trajectory is intrinsic to its evolution. The degree of non-Markovianity for a trajectory may be measured in terms of the amount of information flowing from the bath back into the system. In this study we consider how information…
Nicholas M. Timme, Christopher Lapish
Understanding how neural systems integrate, encode, and compute information is central to understanding brain function. Frequently, data from neuroscience experiments are multivariate, the interactions between the variables are nonlinear, and the landscape of hypothesized or possible interactions between variables is…
Michael Statt, Kristopher Brown, Santosh Suram, Linda Hung + 3 more
In this work, we present DBgen, a Python library that provides a framework for defining extract-transform-load (ETL) pipelines to create and populate SQL databases. DBgen is most useful when the underlying data has complex relationships, requires multi-step analysis, is large-scale, and the type of data being collected…
Swarnavo Sarkar, Jayan Rammohan
Living cells process information about their environment through the central dogma processes of transcription and translation, which drive the cellular response to stimuli. Here, we study the transfer of information from environmental input to the transcript and protein expression levels. Evaluation of both…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Authors not listed
The interdisciplinary nature of redox flow batteries (RFBs), spanning chemistry, materials, and engineering, has led to a vast and fragmented body of research, hindering the efficient synthesis of knowledge. An intelligent question-answering system is there-fore essential to organize this dispersed knowledge, enhance…
Maurício Vieira Kritz
A concept of information designed to handle information conveyed by organizations is introduced. This concept of information may be used at all biological scales: from molecular and intracellular to multi-cellular organisms and human beings, and further on to collectivities, societies and culture. In this short…
Mohsen Farshad
Providing a simple description of entropy as the foundation of thermodynamics is necessary for researchers in explaining physical phenomena in the universe. Here we dive deep into the meaning of entropy starting from the basics and ending with the Newton's second law of motion which may be rooted in a hidden dimension…
David Deutsch, Chiara Marletto
We propose a theory of information expressed solely in terms of which transformations of physical systems are possible and which are impossible-i.e. in constructor-theoretic terms. It includes conjectured, exact laws of physics expressing the regularities that allow information to be physically instantiated. Although…
Jürgen Jost
We investigate the basic principles of structural knowledge. Structural knowledge underlies cognition, and it organizes, selects and assigns meaning to information. It is the result of evolutionary, cultural and developmental processes. Because of its own constraints, it needs to discover and exploit regularities and…
Olimpia Lombardi, Cristian López
Integrated Information Theory (IIT) intends to provide a principled theoretical approach able to characterize consciousness both quantitatively and qualitatively. By starting off identifying the fundamental properties of experience itself, IIT develops a formal framework that relates those properties to the physical…
Aaron Liu, Myeongyeon Lee, Rahul Venkatesh, Jessica Bonsu + 4 more
Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based…