Chaos in neuronal networks with balanced excitatory and inhibitory activity

Science
C van Vreeswijk, H Sompolinsky

Abstract

Neurons in the cortex of behaving animals show temporally irregular spiking patterns. The origin of this irregularity and its implications for neural processing are unknown. The hypothesis that the temporal variability in the firing of a neuron results from an approximate balance between its excitatory and inhibitory inputs was investigated theoretically. Such a balance emerges naturally in large networks of excitatory and inhibitory neuronal populations that are sparsely connected by relatively strong synapses. The resulting state is characterized by strongly chaotic dynamics, even when the external inputs to the network are constant in time. Such a network exhibits a linear response, despite the highly nonlinear dynamics of single neurons, and reacts to changing external stimuli on time scales much smaller than the integration time constant of a single neuron.

Associated Proceedings Papers

Jul 28, 2020·Prasanna DateTiffany Mintz

References

Apr 12, 2002·Movement Disorders : Official Journal of the Movement Disorder Society·Jerrold L Vitek
Aug 8, 2009·Biological cybernetics·Alain Destexhe, T J Sejnowski
Nov 15, 2008·Cognitive Processing·Rune W Berg, Jørn Hounsgaard
Oct 14, 2011·Annals of Biomedical Engineering·Tapan P PatelDavid F Meaney
Apr 15, 2005·Journal of Computational Neuroscience·B NaundorfF Wolf
May 16, 2006·Journal of Computational Neuroscience·Sandro RomaniGianluigi Mongillo
May 10, 2006·Journal of Computational Neuroscience·Arunava Banerjee
Jul 17, 2007·Journal of Computational Neuroscience·Wolfgang Kinzel
Dec 17, 2008·Journal of Computational Neuroscience·Johannes Friedrich, Wolfgang Kinzel
Dec 24, 2008·Journal of Computational Neuroscience·Richard T Gray, Peter A Robinson
Jan 22, 2009·Journal of Computational Neuroscience·Kevin K LinLai-Sang Young
Jul 2, 2009·Journal of Computational Neuroscience·Birgit KrienerStefan Rotter
May 19, 2009·Journal of Computational Neuroscience·Adrián Ponce-AlvarezAlexa Riehle
May 22, 2010·Journal of Computational Neuroscience·Jens KremkowA Aertsen
Oct 5, 2010·Journal of Computational Neuroscience·Jean-Philippe Thivierge, Paul Cisek
Oct 19, 2010·Journal of Computational Neuroscience·Alexander HanuschkinM Diesmann
Mar 16, 2011·Journal of Computational Neuroscience·Alexander HanuschkinAbigail Morrison
Oct 4, 2011·Journal of Computational Neuroscience·Moritz DegerStefan Rotter
Jan 29, 2013·Journal of Computational Neuroscience·Steven Reich, Robert Rosenbaum
Nov 13, 2008·Cognitive Neurodynamics·Harald Atmanspacher, Stefan Rotter
Sep 18, 2009·Cognitive Neurodynamics·Thomas Wennekers, Günther Palm
Dec 26, 2003·Comptes rendus biologies·Henri Korn, Philippe Faure
Dec 4, 2001·Trends in Pharmacological Sciences·J Kardos, L Nyikos
Jun 26, 1998·Trends in Neurosciences·D J Amit
Feb 17, 2000·Trends in Neurosciences·J A WhiteA R Kay
Feb 13, 2001·Bio Systems·C Christodoulou, Guido Bugmann
Oct 12, 2001·Bio Systems·P N SteinmetzC Koch
Oct 23, 2001·Neural Networks : the Official Journal of the International Neural Network Society·R M Siegel, H L Read
Oct 23, 2001·Neural Networks : the Official Journal of the International Neural Network Society·M O GewaltigA Aertsen
Nov 23, 2001·Neural Networks : the Official Journal of the International Neural Network Society·Y Sakai
Dec 16, 2003·Neural Networks : the Official Journal of the International Neural Network Society·Chris ChristodoulouTrevor G Clarkson
Mar 29, 2003·Neural Networks : the Official Journal of the International Neural Network Society·Y SakaiS Shinomoto
Mar 20, 2001·Nature Reviews. Neuroscience·J D Schall
Aug 3, 2001·Nature Reviews. Neuroscience·Emilio Salinas, T J Sejnowski
Apr 9, 1999·Nature Neuroscience·C F Stevens, A M Zador
Feb 7, 2013·Nature Communications·Vittorio CaggianoPeter Thier
Feb 23, 2010·Nature Neuroscience·Mark M ChurchlandKrishna V Shenoy
May 28, 2013·Nature Neuroscience·Rodrigo Laje, Dean V Buonomano
Aug 21, 2013·Nature Neuroscience·Sukbin Lim, Mark S Goldman
Mar 27, 2009·Nature Neuroscience·Emilio Salinas
Jun 1, 2010·Proceedings of the National Academy of Sciences of the United States of America·Raoul-Martin Memmesheimer
Feb 7, 2012·Proceedings of the National Academy of Sciences of the United States of America·Adrien PeyracheAlain Destexhe
Apr 5, 2012·Proceedings of the National Academy of Sciences of the United States of America·Amber PolkBrent Doiron

Related Concepts

Cortex Bone Disorders
Adrenal Cortex Diseases
Prefrontal Cortex
Neurons
Nonlinear Dynamics
Synapses
Neuronal
Chaos Theory
Insula of Reil
Cortex of Organ

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Sexual Dimorphism in Neurodegeneration

There exist sex differences in neurodevelopmental and neurodegenerative disorders. For instance, multiple sclerosis is more common in women, whereas Parkinson’s disease is more common in men. Here is the latest research on sexual dimorphism in neurodegeneration

HLA Genetic Variation

HLA genetic variation has been found to confer risk for a wide variety of diseases. Identifying these associations and understanding their molecular mechanisms is ongoing and holds promise for the development of therapeutics. Find the latest research on HLA genetic variation here.

Super-resolution Microscopy

Super-resolution microscopy is the term commonly given to fluorescence microscopy techniques with resolutions that are not limited by the diffraction of light. Here are the latest discoveries pertaining to super-resolution microscopy.

Genetic Screens in iPSC-derived Brain Cells

Genetic screening is a critical tool that can be employed to define and understand gene function and interaction. This feed focuses on genetic screens conducted using induced pluripotent stem cell (iPSC)-derived brain cells.

Brain Lower Grade Glioma

Low grade gliomas in the brain form from oligodendrocytes and astrocytes and are the slowest-growing glioma in adults. Discover the latest research on these brain tumors here.

CD4/CD8 Signaling

Cluster of differentiation 4 and 8 (CD8 and CD8) are glycoproteins founds on the surface of immune cells. Here is the latest research on their role in cell signaling pathways.

Alignment-free Sequence Analysis Tools

Alignment-free sequence analyses have been applied to problems ranging from whole-genome phylogeny to the classification of protein families, identification of horizontally transferred genes, and detection of recombined sequences. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.