Synchronization-induced spike termination in networks of bistable neurons
العنوان: | Synchronization-induced spike termination in networks of bistable neurons |
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المؤلفون: | Muhammet Uzuntarla, Ernest Barreto, Joaquín J. Torres, Ali Calim |
المساهمون: | Zonguldak Bülent Ecevit Üniversitesi |
المصدر: | Digibug. Repositorio Institucional de la Universidad de Granada instname |
سنة النشر: | 2018 |
مصطلحات موضوعية: | 0209 industrial biotechnology, Bistability, Postsynaptic Current, Cognitive Neuroscience, Population, Models, Neurological, FOS: Physical sciences, Action Potentials, 02 engineering and technology, Synchronization, Inhibitory postsynaptic potential, Excitatory population, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Humans, Physics - Biological Physics, Cortical Synchronization, education, Physics, Neurons, Spike-termination, education.field_of_study, Quantitative Biology::Neurons and Cognition, Time constant, Gap junction, Gap Junctions, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Synapses, Excitatory postsynaptic potential, 020201 artificial intelligence & image processing, Neurons and Cognition (q-bio.NC), Neural Networks, Computer, Nerve Net, Neuroscience |
الوصف: | We observe and study a self-organized phenomenon whereby the activity in a network of spiking neurons spontaneously terminates. We consider different types of populations, consisting of bistable model neurons connected electrically by gap junctions, or by either excitatory or inhibitory synapses, in a scale-free connection topology. We find that strongly synchronized population spiking events lead to complete cessation of activity in excitatory networks, but not in gap junction or inhibitory networks. We identify the underlying mechanism responsible for this phenomenon by examining the particular shape of the excitatory postsynaptic currents that arise in the neurons. We also examine the effects of the synaptic time constant, coupling strength, and channel noise on the occurrence of the phenomenon. © 2018 Elsevier Ltd Agencia Estatal de Investigación Ministerio de Ciencia y Tecnología Albert Ellis Institute: FIS2017-84256-P Federación Española de Enfermedades Raras JJT acknowledges financial support from the Spanish Ministry of Science and Technology and the “Agencia Española de Investigación ( AEI )” under grant FIS2017-84256-P (FEDER funds). We sincerely thank Sukriye Nihal Agaoglu for valuable discussions. We also gratefully acknowledge the anonymous reviewers for providing useful comments and suggestions, which greatly improved our paper. |
تدمد: | 1879-2782 2017-8425 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd7cc3c021110275b9c32157acb7d1a0 https://pubmed.ncbi.nlm.nih.gov/30550865 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....cd7cc3c021110275b9c32157acb7d1a0 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 18792782 20178425 |
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