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  • 1
    Publication Date: 2011-04-12
    Description: Neuronal connectivity is fundamental to information processing in the brain. Therefore, understanding the mechanisms of sensory processing requires uncovering how connection patterns between neurons relate to their function. On a coarse scale, long-range projections can preferentially link cortical regions with similar responses to sensory stimuli. But on the local scale, where dendrites and axons overlap substantially, the functional specificity of connections remains unknown. Here we determine synaptic connectivity between nearby layer 2/3 pyramidal neurons in vitro, the response properties of which were first characterized in mouse visual cortex in vivo. We found that connection probability was related to the similarity of visually driven neuronal activity. Neurons with the same preference for oriented stimuli connected at twice the rate of neurons with orthogonal orientation preferences. Neurons responding similarly to naturalistic stimuli formed connections at much higher rates than those with uncorrelated responses. Bidirectional synaptic connections were found more frequently between neuronal pairs with strongly correlated visual responses. Our results reveal the degree of functional specificity of local synaptic connections in the visual cortex, and point to the existence of fine-scale subnetworks dedicated to processing related sensory information.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089591/" 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/PMC3089591/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ko, Ho -- Hofer, Sonja B -- Pichler, Bruno -- Buchanan, Katherine A -- Sjostrom, P Jesper -- Mrsic-Flogel, Thomas D -- FP7 243914/Medical Research Council/United Kingdom -- G0700188/Medical Research Council/United Kingdom -- G0700188(81448)/Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2011 May 5;473(7345):87-91. doi: 10.1038/nature09880. Epub 2011 Apr 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neuroscience, Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21478872" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Calcium/chemistry ; Calcium Signaling/physiology ; Computer Simulation ; Electrical Synapses/*physiology ; Mice ; Mice, Inbred C57BL ; Nerve Net/*physiology ; Patch-Clamp Techniques ; Photic Stimulation ; Pyramidal Cells/physiology ; Visual Cortex/*physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-02-06
    Description: The strength of synaptic connections fundamentally determines how neurons influence each other's firing. Excitatory connection amplitudes between pairs of cortical neurons vary over two orders of magnitude, comprising only very few strong connections among many weaker ones. Although this highly skewed distribution of connection strengths is observed in diverse cortical areas, its functional significance remains unknown: it is not clear how connection strength relates to neuronal response properties, nor how strong and weak inputs contribute to information processing in local microcircuits. Here we reveal that the strength of connections between layer 2/3 (L2/3) pyramidal neurons in mouse primary visual cortex (V1) obeys a simple rule--the few strong connections occur between neurons with most correlated responses, while only weak connections link neurons with uncorrelated responses. Moreover, we show that strong and reciprocal connections occur between cells with similar spatial receptive field structure. Although weak connections far outnumber strong connections, each neuron receives the majority of its local excitation from a small number of strong inputs provided by the few neurons with similar responses to visual features. By dominating recurrent excitation, these infrequent yet powerful inputs disproportionately contribute to feature preference and selectivity. Therefore, our results show that the apparently complex organization of excitatory connection strength reflects the similarity of neuronal responses, and suggest that rare, strong connections mediate stimulus-specific response amplification in cortical microcircuits.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cossell, Lee -- Iacaruso, Maria Florencia -- Muir, Dylan R -- Houlton, Rachael -- Sader, Elie N -- Ko, Ho -- Hofer, Sonja B -- Mrsic-Flogel, Thomas D -- 095074/Wellcome Trust/United Kingdom -- England -- Nature. 2015 Feb 19;518(7539):399-403. doi: 10.1038/nature14182. Epub 2015 Feb 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Neuroscience, Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK [2] Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland. ; Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland. ; Department of Neuroscience, Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK. ; 1] Department of Neuroscience, Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK [2] Lui Che Woo Institute of Innovative Medicine and Chow Yuk Ho Technology Center for Innovative Medicine, Faculty of Medicine, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25652823" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Excitatory Postsynaptic Potentials/*physiology ; Female ; Male ; Mice ; Mice, Inbred C57BL ; Models, Neurological ; Neural Pathways ; Photic Stimulation ; Pyramidal Cells/cytology/physiology ; 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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