Results 231 to 240 of about 314,467 (275)

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

Transparent Inorganic–Organic Bilayer Neural Electrode Array and Integration to Miniscope System for In Vivo Calcium Imaging and Electrophysiology

Advanced Functional Materials, EarlyView.
This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han, Kevin Cheng, Swathy Sampath Kumar, Anil Bollimunta, Elizabeth E. Torr, Juhwan Kim, Kyoungmin Kim, Hyungjun Choi, Seongkwon Hwang, Sarah Brodnick, David Cheng, Lindsay Gray, Yei Hwan Jung, William L. Murphy, Aaron J. Suminski, Jonathan J. Nassi, Justin C. Williams, Dong‐Wook Park   +17 more
wiley   +1 more source

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Symbolic Transfer Entropy

Physical Review Letters, 2008
We propose to estimate transfer entropy using a technique of symbolization. We demonstrate numerically that symbolic transfer entropy is a robust and computationally fast method to quantify the dominating direction of information flow between time series from structurally identical and nonidentical coupled systems.
Matthäus, Staniek, Klaus, Lehnertz
openaire   +2 more sources

Transfer entropy on symbolic recurrences

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019
Recurrence quantification analysis offers a powerful framework to investigate complexity in dynamical systems. While several studies have demonstrated the possibility of multivariate recurrence quantification analysis, information-theoretic tools for the discovery of causal links remain elusive.
Maurizio Porfiri, Manuel Ruiz Marín
openaire   +3 more sources

Measuring information transfer by dispersion transfer entropy

Communications in Nonlinear Science and Numerical Simulation, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boyi Zhang, Pengjian Shang
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Accelerating transfer entropy computation

2014 International Conference on Field-Programmable Technology (FPT), 2014
Transfer entropy is a measure of information transfer between two time series. It is an asymmetric measure based on entropy change which only takes into account the statistical dependency originating in the source series, but excludes dependency on a common external factor.
Shengjia Shao, Ce Guo, Wayne Luk, Stephen Weston   +3 more
openaire   +1 more source

Chaotic Communication via Temporal Transfer Entropy

Physical Review Letters, 2008
We propose a new perspective on communication using chaos. A binary message is encoded into the temporally causal relations on a coupled maps ring of N chaotic nodes. From the analysis of temporal transfer entropy, the masked information can be recovered from transmitted signals at the receiver.
Yao-Chen, Hung, Chin-Kun, Hu
openaire   +2 more sources

Transfer entropies within dynamical effects framework

Physical Review E, 2020
Transfer entropy (TE) is widely used in time-series analysis to detect causal couplings between temporally evolving objects. As a coupling strength quantifier, the TE alone often seems insufficient, raising the question of its further interpretations.
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Spurious causalities with transfer entropy

Physical Review E, 2013
Transfer entropy (TE) seems currently to be the most widely used tool to characterize causal influences in ensembles of complex systems from observed time series. In particular, in an elemental case of two systems, nonzero TEs in both directions are usually interpreted as a sign of a bidirectional coupling.
openaire   +2 more sources