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  • 1
    Publication Date: 2010-01-30
    Description: Correlated spiking is often observed in cortical circuits, but its functional role is controversial. It is believed that correlations are a consequence of shared inputs between nearby neurons and could severely constrain information decoding. Here we show theoretically that recurrent neural networks can generate an asynchronous state characterized by arbitrarily low mean spiking correlations despite substantial amounts of shared input. In this state, spontaneous fluctuations in the activity of excitatory and inhibitory populations accurately track each other, generating negative correlations in synaptic currents which cancel the effect of shared input. Near-zero mean correlations were seen experimentally in recordings from rodent neocortex in vivo. Our results suggest a reexamination of the sources underlying observed correlations and their functional consequences for information processing.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2861483/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2861483/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Renart, Alfonso -- de la Rocha, Jaime -- Bartho, Peter -- Hollender, Liad -- Parga, Nestor -- Reyes, Alex -- Harris, Kenneth D -- DC-005787-01A1/DC/NIDCD NIH HHS/ -- DC009947/DC/NIDCD NIH HHS/ -- MH073245/MH/NIMH NIH HHS/ -- R01 DC009947/DC/NIDCD NIH HHS/ -- R01 DC009947-02/DC/NIDCD NIH HHS/ -- R01 MH073245/MH/NIMH NIH HHS/ -- R01 MH073245-05/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2010 Jan 29;327(5965):587-90. doi: 10.1126/science.1179850.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA. arenart@andromeda.rutgers.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20110507" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Algorithms ; Animals ; Cerebral Cortex/cytology/*physiology ; Computer Simulation ; Excitatory Postsynaptic Potentials ; Inhibitory Postsynaptic Potentials ; *Models, Neurological ; Nerve Net/*physiology ; Neural Inhibition ; Neural Pathways/*physiology ; Neurons/*physiology ; Rats ; Rats, Sprague-Dawley ; Synapses/*physiology ; *Synaptic Potentials ; Synaptic Transmission
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-04-08
    Description: A large population of neurons can, in principle, produce an astronomical number of distinct firing patterns. In cortex, however, these patterns lie in a space of lower dimension, as if individual neurons were "obedient members of a huge orchestra". Here we use recordings from the visual cortex of mouse (Mus musculus) and monkey (Macaca mulatta) to investigate the relationship between individual neurons and the population, and to establish the underlying circuit mechanisms. We show that neighbouring neurons can differ in their coupling to the overall firing of the population, ranging from strongly coupled 'choristers' to weakly coupled 'soloists'. Population coupling is largely independent of sensory preferences, and it is a fixed cellular attribute, invariant to stimulus conditions. Neurons with high population coupling are more strongly affected by non-sensory behavioural variables such as motor intention. Population coupling reflects a causal relationship, predicting the response of a neuron to optogenetically driven increases in local activity. Moreover, population coupling indicates synaptic connectivity; the population coupling of a neuron, measured in vivo, predicted subsequent in vitro estimates of the number of synapses received from its neighbours. Finally, population coupling provides a compact summary of population activity; knowledge of the population couplings of n neurons predicts a substantial portion of their n(2) pairwise correlations. Population coupling therefore represents a novel, simple measure that characterizes the relationship of each neuron to a larger population, explaining seemingly complex network firing patterns in terms of basic circuit variables.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449271/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449271/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Okun, Michael -- Steinmetz, Nicholas A -- Cossell, Lee -- Iacaruso, M Florencia -- Ko, Ho -- Bartho, Peter -- Moore, Tirin -- Hofer, Sonja B -- Mrsic-Flogel, Thomas D -- Carandini, Matteo -- Harris, Kenneth D -- 095668/Wellcome Trust/United Kingdom -- 095669/Wellcome Trust/United Kingdom -- 095853/Wellcome Trust/United Kingdom -- EY014924/EY/NEI NIH HHS/ -- R01 EY014924/EY/NEI NIH HHS/ -- T32 MH020016/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2015 May 28;521(7553):511-5. doi: 10.1038/nature14273. Epub 2015 Apr 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] UCL Institute of Neurology, University College London, London WC1N 3BG, UK [2] Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6DE, UK [3] UCL Institute of Ophthalmology, University College London, London EC1V 9EL, UK. ; 1] UCL Institute of Neurology, University College London, London WC1N 3BG, UK [2] Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6DE, UK [3] UCL Institute of Ophthalmology, University College London, London EC1V 9EL, UK [4] Howard Hughes Medical Institute and Department of Neurobiology, Stanford University, Stanford, California 94305-5125, USA. ; 1] Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6DE, UK [2] Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH-4056 Basel, Switzerland. ; Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6DE, UK. ; Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Avenue, Newark, New Jersey 07102, USA. ; Howard Hughes Medical Institute and Department of Neurobiology, Stanford University, Stanford, California 94305-5125, USA. ; UCL Institute of Ophthalmology, University College London, London EC1V 9EL, UK. ; 1] UCL Institute of Neurology, University College London, London WC1N 3BG, UK [2] Department of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6DE, UK [3] Center for Molecular and Behavioral Neuroscience, Rutgers University, 197 University Avenue, Newark, New Jersey 07102, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25849776" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Female ; Macaca mulatta ; Male ; Mice ; Models, Neurological ; Neurons/*cytology/*physiology ; Optogenetics ; Synapses/physiology ; Visual Cortex/*cytology/*physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2006-12-21
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 4
    Publication Date: 2014-09-17
    Description: Theta oscillations in the limbic system depend on the integrity of the medial septum. The different populations of medial septal neurons (cholinergic and GABAergic) are assumed to affect different aspects of theta oscillations. Using optogenetic stimulation of cholinergic neurons in ChAT-Cre mice, we investigated their effects on hippocampal local field...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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