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Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

Yuri Antonacci, Ludovico Minati, Luca Faes, Riccardo Pernice, Giandomenico Nollo, Jlenia Toppi, Antonio Pietrabissa, Laura Astolfi
2021 PeerJ Computer Science  
While this problem is typically solved through Ordinary Least Square (OLS) estimation, a viable alternative is to use Artificial Neural Networks (ANNs) implemented in a simple structure with one input  ...  Moreover, ANNs can reconstruct the flow of directed information in a ring of oscillators whose statistical properties can be related to those of physiological networks.  ...  Figure 15 Unconditional 15 Granger Causality Analysis performed on the network of 32 chaotic oscillators (F i→j ).  ... 
doi:10.7717/peerj-cs.429 pmid:34084917 pmcid:PMC8157130 fatcat:ybajgn7mvja5bhyendh6sau33q

Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles

Zhile Yang, Kang Li, Qun Niu, Aoife Foley
2015 2015 International Joint Conference on Neural Networks (IJCNN)  
Every year, INNS presents awards to researchers who have distinguished themselves through their contributions to the field of neural computation and its applications.  ...  The old IEEE Transactions on Neural Networks was renamed to IEEE Transactions on Neural Networks and Learning Systems (TNNLS) a few years ago to reflect the development of the field of neural networks  ... 
doi:10.1109/ijcnn.2015.7280446 dblp:conf/ijcnn/YangLNF15 fatcat:6xlakikcfzfyhhm2spooe2j7ra

A simple method for detecting chaos in nature [article]

Daniel Toker, Friedrich T. Sommer, Mark D'Esposito
2020 arXiv   pre-print
As a first-pass application of our pipeline, we show that heart rate variability is not chaotic as some have proposed, and instead reflects a stochastic process in both health and disease.  ...  Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems.  ...  Acknowledgements We thank Seiji Uenohara and colleagues for kindly sending us data recorded from their chaotic neuron integrated circuit, and we thank John F.  ... 
arXiv:1904.00986v3 fatcat:l7melphbyfd6tft6rpcf5weza4

Transfer Function-based Characterization of the Honey Bee Olfactory System: from Biology to Electronic Circuits

Ettore Tiraboschi, Ludovico Minati, Simone Monachino, Mattia Frasca, Albrecht Haase
2022 IEEE Access  
The somata are tentatively mapped to the glomeruli via Granger causality, while machine learning classification and clustering allow grouping common properties regarding response amplitudes and temporal  ...  Because transfer functions have universal applicability, once they have been determined, it is readily possible to design corresponding analog electronic circuits, with possible future applications in  ...  ACKNOWLEDGEMENTS The authors are grateful to Prof. Luca Faes from the University of Palermo, Italy, for advice on the Granger causality analysis.  ... 
doi:10.1109/access.2022.3149822 fatcat:ejd67uvuurhy7l45xpf4cexx7i

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals (+90 others)
2017 BMC Neuroscience  
To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  We expect that these connections between input characteristics, network topology, and neuronal dynamics will give new insights into the structure-function relationship of the visual system.  ...  However, the contribution of chaotic neural oscillators to relevant network behavior has not been systematically studied yet.  ... 
doi:10.1186/s12868-017-0370-3 fatcat:qq2cmqlotbg7vpqlqmmcql4u5i

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker (+526 others)
2017 BMC Neuroscience  
To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  We expect that these connections between input characteristics, network topology, and neuronal dynamics will give new insights into the structure-function relationship of the visual system.  ...  However, the contribution of chaotic neural oscillators to relevant network behavior has not been systematically studied yet.  ... 
doi:10.1186/s12868-017-0372-1 fatcat:q5x3vgivujgshmtthc6ki4fcfu

International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Claudio Babiloni, Robert J. Barry, Erol Başar, Katarzyna J. Blinowska, Andrzej Cichocki, Wilhelmus H.I.M. Drinkenburg, Wolfgang Klimesch, Robert T. Knight, Fernando Lopes da Silva, Paul Nunez, Robert Oostenveld, Jaeseung Jeong (+3 others)
2019 Clinical Neurophysiology  
as neurophysiological experimental studies carried out in neurological and psychiatric patients: (1) recording of rsEEGs (environmental conditions and instructions to participants; montage of the EEG  ...  on frequency analysis (linear and nonlinear measures); (6) extraction of "topographic" features (topographic mapping; cortical source mapping; estimation of scalp current density and dura surface potential  ...  Until the end of their life, they had been working for the development of EEG science and its application in Clinical Neurophysiology.  ... 
doi:10.1016/j.clinph.2019.06.234 pmid:31501011 fatcat:psp6t4czorbsndn4gp5m4o3elu

Testing non-linearity and directedness of interactions between neural groups in the macaque inferotemporal cortex

Winrich A. Freiwald, Pedro Valdes, Jorge Bosch, Rolando Biscay, Juan Carlos Jimenez, Luis Manuel Rodriguez, Valia Rodriguez, Andreas K. Kreiter, Wolf Singer
1999 Journal of Neuroscience Methods  
Additionally, a generalised definition of Granger causality is presented based on LLNAR that is valid for both linear and non-linear systems.  ...  Within this framework a new test for non-linearity of time series and for non-linearity of directedness of neural interactions based on LLNAR is presented.  ...  Special thanks are due to the two anonymous referees and to Corrado Bernasconi whose comments during the review process helped us to clarify and generally improve an earlier manuscript.  ... 
doi:10.1016/s0165-0270(99)00129-6 pmid:10638819 fatcat:c4sqrh4lu5hb3m6jxkhb5w5v2e

A simple method for detecting chaos in nature

Daniel Toker, Friedrich T. Sommer, Mark D'Esposito
2020 Communications Biology  
As a first-pass application of our pipeline, we show that heart rate variability is not chaotic as some have proposed, and instead reflects a stochastic process in both health and disease.  ...  Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems.  ...  Acknowledgements We thank Seiji Uenohara and colleagues for kindly sending us data recorded from their chaotic neuron integrated circuit, and we thank John F.  ... 
doi:10.1038/s42003-019-0715-9 pmid:31925289 fatcat:4aonun7g5fbctg2qpaeazn22ua

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
within the constraints of biological networks.  ...  One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  O14 On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia Acknowledgements This work was supported by NIH-NIBIB (R01-EB027584).  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
the neural recordings of locust.  ...  Alliance through the Initiative and Networking Fund of the Helmholtz Association and the Helmholtz Portfolio theme "Supercomputing and Modeling for the Human Brain" and the European Union Seventh Framework  ...  Finally, to study the influence of ACh modulation in synaptic communication and information flow we computed the Granger causality between coupled neurons.  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William Alexander (+473 others)
2017 BMC Neuroscience  
The application of our method to MUAe (corresponding to high frequencies between 600 Hz and 4 kHz) complements existing techniques such as Granger causality applied to the local-field potential (1–300  ...  The effective connectivity was estimated using realistic HCOs [3]. We built a relational database PumpHCO-db with Granger Causality (GC) and Partial Transfer Entropy (PTE).  ... 
doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
Investigations of this question have, to date, focused largely on deep neural networks trained using supervised learning, in tasks such as image classification.  ...  Together this work contributes to our understanding of both normal neural development and the etiology of neurodevelopmental disorders.  ...  Acknowledgements: This research is funded by the National Science Foundation (grants #1822517 and #1921515 to SJ), the National Institute of Mental Health (grant #MH117488 to SJ), the California Nano-Systems  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

28th Annual Computational Neuroscience Meeting: CNS*2019

2019 BMC Neuroscience  
Activity from both the LP and PD neurons of the stomatogastric ganglion of a crab was recorded using intracellular electrodes and sent to a computer through a DAQ device.  ...  supercritical Hopf bifurcation, that in presence of the theta forcing is excited, giving rise to gamma oscillations super imposed on the theta rhythm, somehow similarly to what previously found in [8].  ...  We compare classical methods of functional inference such as Granger Causality (GC) and Transfer Entropy (TE) to deep learning approaches such as Convolutional Neural Networks (CNN) and Long Short-Term  ... 
doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su

Developing and applying the adverse outcome pathway concept for understanding and predicting neurotoxicity

Anna Bal-Price, Pamela J. Lein, Kimberly P. Keil, Sunjay Sethi, Timothy Shafer, Marta Barenys, Ellen Fritsche, Magdalini Sachana, M.E. (Bette) Meek
2017 Neurotoxicology  
The main roles of synapses are the regulation of intercellular communication in the nervous system, and the information flow within neural networks.  ...  The connectivity and functionality of neural networks depends on where and when synapses are formed.  ... 
doi:10.1016/j.neuro.2016.05.010 pmid:27212452 pmcid:PMC5114159 fatcat:ye2ucs6b7veydd2543nu6azxzu
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