Mendeley | Further Information

{"title"=>"Phase changes in neuronal postsynaptic spiking due to short term plasticity", "type"=>"journal", "authors"=>[{"first_name"=>"Mark D.", "last_name"=>"McDonnell", "scopus_author_id"=>"7102564709"}, {"first_name"=>"Bruce P.", "last_name"=>"Graham", "scopus_author_id"=>"7201610418"}], "year"=>2017, "source"=>"PLoS Computational Biology", "identifiers"=>{"pmid"=>"28937977", "sgr"=>"85030484964", "doi"=>"10.1371/journal.pcbi.1005634", "scopus"=>"2-s2.0-85030484964", "pui"=>"618570541", "isbn"=>"1111111111", "issn"=>"15537358"}, "id"=>"12268c1b-f831-36e1-8407-79d471f6fca1", "abstract"=>"In the brain, the postsynaptic response of a neuron to time-varying inputs is determined by the interaction of presynaptic spike times with the short-term dynamics of each synapse. For a neuron driven by stochastic synapses, synaptic depression results in a quite different postsynaptic response to a large population input depending on how correlated in time the spikes across individual synapses are. Here we show using both simulations and mathematical analysis that not only the rate but the phase of the postsynaptic response to a rhythmic population input varies as a function of synaptic dynamics and synaptic configuration. Resultant phase leads may compensate for transmission delays and be predictive of rhythmic changes. This could be particularly important for sensory processing and motor rhythm generation in the nervous system.", "link"=>"http://www.mendeley.com/research/phase-changes-neuronal-postsynaptic-spiking-due-short-term-plasticity", "reader_count"=>14, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Ph. D. Student"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Ph. D. Student"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>1, "Neuroscience"=>3, "Physics and Astronomy"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>3}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>3}}, "group_count"=>2}

CrossRef

• http://doi.org/10.3389/fnbot.2020.00041
• http://doi.org/10.3390/ph13100297
• http://doi.org/10.1016/j.cnsns.2020.105689

Scopus | Further Information

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• {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
• {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
• {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
• {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
• {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
• {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}

F1000Prime