المؤلفون: Konstantinos Spiliotis, Konstantin Butenko, Ursula van Rienen, Jens Starke, Rüdiger Köhling

المصدر: Frontiers in Physics, Vol 10 (2022)

مصطلحات موضوعية: electric field volume conductor model, dynamical systems, Hodgkin Huxley neurons, complex networks, movement disorder, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2022.951724/full; https://doaj.org/toc/2296-424X

URL الوصول: https://doaj.org/article/f83e38a9db064be39ae7512d58497e8a

المؤلفون: Nathalie Azevedo Carvalho, Sylvain Contassot-Vivier, Laure Buhry, Dominique Martinez

المصدر: Frontiers in Neuroinformatics, Vol 14 (2020)

مصطلحات موضوعية: brain simulation, Hodgkin-Huxley neurons, time-stepping method, event-driven connectivity generation, Runge-Kutta method, Parkinson's disease, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fninf.2020.522000/full; https://doaj.org/toc/1662-5196

URL الوصول: https://doaj.org/article/c5ca9b3b730446dd84212cc0e0f21699

المؤلفون: Andrea Navas-Olive

مصطلحات موضوعية: Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience), Hodgkin Huxley neurons

Relation: https://figshare.com/articles/figure/Membrane_scheme/25368523

الاتاحة: https://doi.org/10.6084/m9.figshare.25368523.v1

المؤلفون: Andrea Navas-Olive

مصطلحات موضوعية: Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience), Hodgkin Huxley neurons

Relation: https://figshare.com/articles/figure/Equivalent_circuit_of_a_passive_neuron/25368538

الاتاحة: https://doi.org/10.6084/m9.figshare.25368538.v1

المؤلفون: Andrea Navas-Olive

مصطلحات موضوعية: Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience), Hodgkin Huxley neurons

Relation: https://figshare.com/articles/figure/HH_equivalent_circuit_of_a_neuron/25368556

الاتاحة: https://doi.org/10.6084/m9.figshare.25368556.v1

المؤلفون: Borisenok, Sergey

المساهمون: AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü, Borisenok, Sergey

المصدر: Cybernetics and Physics. :7-12

مصطلحات موضوعية: Fluid Flow and Transfer Processes, small–scale ANNs, Control and Optimization, Physics and Astronomy (miscellaneous), Artificial Intelligence, Signal Processing, classical emulation of quantum algorithms, Speed gradient feedback control, epileptiform dynamics, Computer Vision and Pattern Recognition, Hodgkin– Huxley neurons

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c429c4e334700de3fe695b32dbf3e4
https://doi.org/10.35470/2226-4116-2022-11-1-7-12

المؤلفون: Bossy, Mireille, Fontbona, Joaquin, Olivero Quinteros, Héctor

المساهمون: TO Simulate and CAlibrate stochastic models (TOSCA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Departamento de Ingenieria Matematica, Centro Modelamiento Matematico, Universidad de Santiago de Chile Santiago (USACH)-Centro Modelamiento Matematico (CMM), Centro de Investigación y Modelamiento de Fenómenos Aleatorios – Valparaíso (CIMFAV), Universidad de Valparaiso Chile, Joaquín Fontbona: Supported by CMM-Basal Conicyt AFB 170001, Nucleo Milenio NC 130062 and Fondecyt Grant 1150570.Héctor Olivero: Partially supported by Nucleo Milenio NC 130062, Beca Chile Postdoctorado and Fondecyt Postdoctoral Grant 3180777.This research was partially supported by the supercomputing infrastructure of NLHPC (ECM-02), Conicyt.

المصدر: ISSN: 0303-6812.

مصطلحات موضوعية: Hodgkin-Huxley neurons, mean-field limits, gation of chaos, stochastic differential equations, propa-, neural networks synchronization, 92B25, synchronization of neuron networks, 60K35, stochastic differential equations AMS Subject classification: 60H99, 82C22, 82C32, 92B20, propagation of chaos, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR]

الاتاحة: https://inria.hal.science/hal-01678710
https://inria.hal.science/hal-01678710v3/document
https://inria.hal.science/hal-01678710v3/file/Synchronization_Mean_Field_HH_network.pdf
https://doi.org/10.1007/s00285-019-01326-7

المؤلفون: Konstantinos Spiliotis, Konstantin Butenko, Ursula van Rienen, Jens Starke, Rüdiger Köhling

مصطلحات موضوعية: Biophysics, Astrophysics, Applied Physics, Computational Physics, Condensed Matter Physics, Particle Physics, Plasma Physics, Solar System, Solar Physics, Planets and Exoplanets, Classical and Physical Optics, Photonics, Optoelectronics and Optical Communications, Cloud Physics, Tropospheric and Stratospheric Physics, High Energy Astrophysics, Cosmic Rays, Mesospheric, Ionospheric and Magnetospheric Physics, Space and Solar Physics, Mathematical Physics not elsewhere classified, Physical Chemistry of Materials, Physical Chemistry not elsewhere classified, Classical Physics not elsewhere classified, Condensed Matter Physics not elsewhere classified, Quantum Physics not elsewhere classified, electric field volume conductor model, dynamical systems, Hodgkin Huxley neurons, complex networks

Relation: https://figshare.com/articles/dataset/DataSheet1_Complex_network_measures_reveal_optimal_targets_for_deep_brain_stimulation_and_identify_clusters_of_collective_brain_dynamics_PDF/21352626

الاتاحة: https://doi.org/10.3389/fphy.2022.951724.s001
https://figshare.com/articles/dataset/DataSheet1_Complex_network_measures_reveal_optimal_targets_for_deep_brain_stimulation_and_identify_clusters_of_collective_brain_dynamics_PDF/21352626

المؤلفون: Azevedo Carvalho, Nathalie, Contassot-Vivier, Sylvain, Buhry, Laure, Martinez, Dominique

المساهمون: Analysis and modeling of neural systems by a system neuroscience approach (NEUROSYS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), SIMulating and Building IOT (SIMBIOT), Department of Networks, Systems and Services (LORIA - NSS), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université de Lorraine (UL), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)

المصدر: Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Frontiers, 2020, 14, pp.14. ⟨10.3389/fninf.2020.522000⟩
Frontiers in Neuroinformatics, Vol 14 (2020)
Frontiers in Neuroinformatics, 2020, 14, pp.14. ⟨10.3389/fninf.2020.522000⟩

مصطلحات موضوعية: time-stepping method, [SCCO.NEUR]Cognitive science/Neuroscience, Parkinson's disease, large scale networks, Event- driven simulation, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], brain simulation, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, lcsh:RC321-571, Hodgkin-Huxley neurons, event-driven connectivity generation, Parkinson’s disease, Runge-Kutta method, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Neuroscience, Original Research, Large scale neural networks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::fc56753917492d824413874bd7f352e6
https://hal.archives-ouvertes.fr/hal-03041616/document

المؤلفون: Baladron, Javier, Fasoli, Diego, Faugeras, Olivier, Touboul, Jonathan

المساهمون: Neurosciences Mathématique et Computationnelle (NEUROMATHCOMP), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-INRIA Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS), Labex MemoLife, École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Collège de France (CdF (institution))-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris Sciences et Lettres (PSL), Centre interdisciplinaire de recherche en biologie (CIRB), Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Nonlinear Analysis for Biology and Geophysical flows (BANG), Laboratoire Jacques-Louis Lions (LJLL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), This work was partially supported by the ERC grant #227747 NerVi, the FACETSITN Marie-Curie Initial Training Network #237955 and the IP project BrainScaleS #269921

المصدر: ISSN: 2190-8567 ; Journal of Mathematical Neuroscience ; https://inserm.hal.science/inserm-00732288 ; Journal of Mathematical Neuroscience, 2012, 2 (1), pp.10. ⟨10.1186/2190-8567-2-10⟩.

مصطلحات موضوعية: mean-field limits, propagation of chaos, stochastic differential equations, McKean-Vlasov equations, Fokker-Planck equations, neural networks, neural assemblies, Hodgkin-Huxley neurons, FitzHugh-Nagumo neurons, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]

Relation: info:eu-repo/semantics/altIdentifier/pmid/22657695; inserm-00732288; https://inserm.hal.science/inserm-00732288; https://inserm.hal.science/inserm-00732288/document; https://inserm.hal.science/inserm-00732288/file/2190-8567-2-10.pdf; PUBMED: 22657695

الاتاحة: https://inserm.hal.science/inserm-00732288
https://inserm.hal.science/inserm-00732288/document
https://inserm.hal.science/inserm-00732288/file/2190-8567-2-10.pdf
https://doi.org/10.1186/2190-8567-2-10

المؤلفون: Bossy, Mireille, Faugeras, Olivier, Talay, Denis

مصطلحات موضوعية: Mean-field limits, Propagation of chaos, Stochastic differential equations, Neural networks, Neural assemblies, Hodgkin–Huxley neurons, FitzHugh–Nagumo neurons

Relation: http://www.mathematical-neuroscience.com/content/5/1/19

الاتاحة: http://www.mathematical-neuroscience.com/content/5/1/19

المؤلفون: Hideo Hasegawa

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://arxiv.org/pdf/cond-mat/0109444v2.pdf.

مصطلحات موضوعية: Wavelet transformation, Wavelet entropy, Hodgkin-Huxley neurons

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.8718; http://arxiv.org/pdf/cond-mat/0109444v2.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.8718
http://arxiv.org/pdf/cond-mat/0109444v2.pdf

المؤلفون: Nathalie Azevedo Carvalho, Sylvain Contassot-Vivier, Laure Buhry, Dominique Martinez

مصطلحات موضوعية: Neuroscience, Bioinformatics, Central Nervous System, brain simulation, Hodgkin-Huxley neurons, time-stepping method, event-driven connectivity generation, Runge-Kutta method, Parkinson's disease, large scale networks

Relation: https://figshare.com/articles/dataset/Table_1_Simulation_of_Large_Scale_Neural_Models_With_Event-Driven_Connectivity_Generation_pdf/13088804

الاتاحة: https://doi.org/10.3389/fninf.2020.522000.s001
https://figshare.com/articles/dataset/Table_1_Simulation_of_Large_Scale_Neural_Models_With_Event-Driven_Connectivity_Generation_pdf/13088804

المؤلفون: Özer, Mahmut, Perc, Matjaž, Uzuntarla, Muhammet, Koklukaya, Etem

المساهمون: Özer, Mahmut, Perc, Matjaž, Uzuntarla, Muhammet, Koklukaya, Etem, Zonguldak Bülent Ecevit Üniversitesi

مصطلحات موضوعية: Feedforward network, Hodgkin-Huxley neurons, Ion channel noise, Subthreshold signal propagation

Relation: NeuroReport; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; 338; 343; 21; Ozer, M., Perc, M., Uzuntarla, M. ve Koklukaya, E. (2010). Weak signal propagation through noisy feedforward neuronal networks. NeuroReport, 21(5). https://journals.lww.com/neuroreport/Fulltext/2010/03310/Weak_signal_propagation_through_noisy_feedforward.5.aspx adresinden erişildi.; https://dx.doi.org/10.1097/WNR.0b013e328336ee62; https://hdl.handle.net/20.500.12628/8527

الاتاحة: https://hdl.handle.net/20.500.12628/8527
https://doi.org/10.1097/WNR.0b013e328336ee62

المؤلفون: Mireille Bossy, Héctor Olivero, Joaquin Fontbona

المساهمون: TO Simulate and CAlibrate stochastic models (TOSCA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Departamento de Ingenieria Matematica, Centro Modelamiento Matematico, Universidad de Santiago de Chile [Santiago] (USACH)-Centro Modelamiento Matematico (CMM), Centro de Investigación y Modelamiento de Fenómenos Aleatorios – Valparaíso (CIMFAV), Universidad de Valparaiso [Chile], Joaquín Fontbona: Supported by CMM-Basal Conicyt AFB 170001, Nucleo Milenio NC 130062 and Fondecyt Grant 1150570.Héctor Olivero: Partially supported by Nucleo Milenio NC 130062, Beca Chile Postdoctorado and Fondecyt Postdoctoral Grant 3180777.This research was partially supported by the supercomputing infrastructure of NLHPC (ECM-02), Conicyt., Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Journal of Mathematical Biology
Journal of Mathematical Biology, Springer Verlag (Germany), 2019, ⟨10.1007/s00285-019-01326-7⟩
Journal of Mathematical Biology, 2019, ⟨10.1007/s00285-019-01326-7⟩
International Conference on Mathematical NeuroScience 2018
International Conference on Mathematical NeuroScience 2018, Jun 2018, Juan-les-Pins, France

مصطلحات موضوعية: propagation of chaos, media_common.quotation_subject, Models, Neurological, Action Potentials, 92B25, 01 natural sciences, Ion Channels, Synchronization, 010305 fluids & plasmas, 03 medical and health sciences, Stochastic differential equation, 0103 physical sciences, FOS: Mathematics, Initial value problem, Uniform boundedness, Computer Simulation, 030304 developmental biology, media_common, Mathematics, Neurons, stochastic differential equations AMS Subject classification: 60H99, gation of chaos, Stochastic Processes, 60H99, 60K35, 82C22, 82C32, 92B20, 92B25, 0303 health sciences, Quantitative Biology::Neurons and Cognition, 82C32, Applied Mathematics, neural networks synchronization, mean-field limits, Probability (math.PR), Mathematical analysis, propa, Infinity, synchronization of neuron networks, Agricultural and Biological Sciences (miscellaneous), stochastic differential equations, Hodgkin–Huxley model, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Nonlinear system, Hodgkin-Huxley neurons, 60K35, Modeling and Simulation, Bounded function, 92B20, Nerve Net, 82C22, Mathematics - Probability

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f96d371ad78118290175fb9947102f
https://hal.inria.fr/hal-01678710

المؤلفون: A. M. Batista, C. A. S. Batista, Sergio Roberto Lopes, Ricardo L. Viana

المصدر: Physica A: Statistical Mechanics and its Applications. 410:628-640

مصطلحات موضوعية: Physics, Statistics and Probability, Dynamic range, Small-world network, Quantitative Biology::Neurons and Cognition, Sensory system, Complex network, Condensed Matter Physics, Hodgkin–Huxley model, Small-world networks, Order (biology), medicine.anatomical_structure, nervous system, medicine, Exponent, Neuron, Neuroscience, Hodgkin–Huxley neurons

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb89c28aa456244f2d57f8e3c36eca7b

المؤلفون: Muhammet Uzuntarla, Etem Koklukaya, Mahmut Ozer, Matjaž Perc

المساهمون: Ozer, M, Perc, M, Uzuntarla, M, Koklukaya, E, Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü, Köklükaya, Etem, Zonguldak Bülent Ecevit Üniversitesi

المصدر: NeuroReport. 21:338-343

مصطلحات موضوعية: Periodicity, Feedforward network, Synaptic Transmission, hemic and lymphatic diseases, Subthreshold signal propagation, medicine, Biological neural network, Humans, Neurons, Physics, Artificial neural network, Noise (signal processing), musculoskeletal, neural, and ocular physiology, General Neuroscience, Weak signal, Feed forward, Bruit, Hodgkin-Huxley neurons, nervous system, Ion channel noise, Synapses, Neural Networks, Computer, Neurosciences & Neurology, medicine.symptom, Biological system, Neuroscience, Algorithms

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724c34c9b42a11c4ff50490efb18d9bf
https://doi.org/10.1097/wnr.0b013e328336ee62

المؤلفون: Denis Talay, Mireille Bossy, Olivier Faugeras

المساهمون: TO Simulate and CAlibrate stochastic models (TOSCA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Élie Cartan de Lorraine (IECL), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Mathematical and Computational Neuroscience (NEUROMATHCOMP), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (LJAD), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (JAD), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience, 2015, 5 (1), pp.19. ⟨10.1186/s13408-015-0031-8⟩
Journal of Mathematical Neuroscience, BioMed Central, 2015, 5 (1), pp.19. ⟨10.1186/s13408-015-0031-8⟩

مصطلحات موضوعية: Mean-field limits, Short Report, Neuroscience (miscellaneous), FitzHugh–Nagumo neurons, 01 natural sciences, 010104 statistics & probability, Stochastic differential equation, Neural ensemble, FOS: Mathematics, Applied mathematics, Limit (mathematics), 0101 mathematics, Propagation of chaos, [MATH]Mathematics [math], Hodgkin–Huxley neurons, Complement (set theory), Mathematics, Neural assemblies, Quantitative Biology::Neurons and Cognition, business.industry, Probability (math.PR), 010102 general mathematics, Fitzhugh nagumo, Hodgkin–Huxley model, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], Mean field theory, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Stochastic differential equations, Artificial intelligence, business, Mathematics - Probability, Neural networks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2852e930696a8ec6f30086165701c6f7
https://inria.hal.science/hal-01098582/file/s13408-015-0031-8.pdf

المؤلفون: Hasegawa, Hideo, Hasegawa, Hideo(Department of Physics, Tokyo Gakugei University)

المصدر: Bulletin of Tokyo Gakugei University. Series IV,Mathematics and natural sciences. 54:23-38

مصطلحات موضوعية: Wavelet Transformation, Hodgkin-Huxley neurons, Shannon entropy, spire train

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4aaa5fd2fb81afc2df16bfec220946f7
http://hdl.handle.net/2309/35919

المؤلفون: Lee, SG, Kim, S, Tanaka, S

المساهمون: 물리학과, 10054190, Kim, S

مصطلحات موضوعية: synchronization, robustness, global coupling, unit network, HODGKIN-HUXLEY NEURONS, CAT VISUAL-CORTEX, NEOCORTEX, PATTERNS, ORGANIZATION

Relation: JOURNAL OF THE KOREAN PHYSICAL SOCIETY; 46; L741; L746; SCI급, SCOPUS 등재논문; SCI; Physics, Multidisciplinary; Physics; 2005-OAK-0000005044; https://oasis.postech.ac.kr/handle/2014.oak/24644; 5346; JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.46, no.4, pp.L741 - L746; 000228458900001

الاتاحة: https://oasis.postech.ac.kr/handle/2014.oak/24644