{"external_id":{"isi":["000962668700002"]},"date_updated":"2023-08-01T14:15:16Z","article_number":"e1010983","volume":19,"oa_version":"Published Version","file":[{"file_name":"2023_PLoSCompBio_Safavi.pdf","access_level":"open_access","date_updated":"2023-04-25T08:59:18Z","file_size":4737671,"checksum":"edeb9d09f3e41ba7c0251308b9e372e7","content_type":"application/pdf","success":1,"file_id":"12867","date_created":"2023-04-25T08:59:18Z","relation":"main_file","creator":"dernst"}],"publication_status":"published","citation":{"mla":"Safavi, Shervin, et al. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>, vol. 19, no. 4, e1010983, Public Library of Science, 2023, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>.","apa":"Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez Villegas, J. F., Logothetis, N. K., &#38; Besserve, M. (2023). Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>","ama":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. 2023;19(4). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>","chicago":"Safavi, Shervin, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F Ramirez Villegas, Nikos K. Logothetis, and Michel Besserve. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>. Public Library of Science, 2023. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>.","short":"S. Safavi, T.I. Panagiotaropoulos, V. Kapoor, J.F. Ramirez Villegas, N.K. Logothetis, M. Besserve, PLoS Computational Biology 19 (2023).","ista":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. 2023. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Computational Biology. 19(4), e1010983.","ieee":"S. Safavi, T. I. Panagiotaropoulos, V. Kapoor, J. F. Ramirez Villegas, N. K. Logothetis, and M. Besserve, “Uncovering the organization of neural circuits with Generalized Phase Locking Analysis,” <i>PLoS Computational Biology</i>, vol. 19, no. 4. Public Library of Science, 2023."},"department":[{"_id":"JoCs"}],"type":"journal_article","month":"04","acknowledgement":"We thank Britni Crocker for help with preprocessing of the data and spike sorting; Joachim Werner and Michael Schnabel for their excellent IT support; Andreas Tolias for help with the initial implantation’s of the Utah arrays.\r\nAll authors were supported by the Max Planck Society. M.B. was supported by the German\r\nFederal Ministry of Education and Research (BMBF) through the funding scheme received by\r\nthe Tübingen AI Center, FKZ: 01IS18039B. N.K.L. and V.K. acknowledge the support from the\r\nShanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ","intvolume":"        19","isi":1,"doi":"10.1371/journal.pcbi.1010983","year":"2023","scopus_import":"1","has_accepted_license":"1","quality_controlled":"1","day":"01","file_date_updated":"2023-04-25T08:59:18Z","publication":"PLoS Computational Biology","abstract":[{"text":"Despite the considerable progress of in vivo neural recording techniques, inferring the biophysical mechanisms underlying large scale coordination of brain activity from neural data remains challenging. One obstacle is the difficulty to link high dimensional functional connectivity measures to mechanistic models of network activity. We address this issue by investigating spike-field coupling (SFC) measurements, which quantify the synchronization between, on the one hand, the action potentials produced by neurons, and on the other hand mesoscopic “field” signals, reflecting subthreshold activities at possibly multiple recording sites. As the number of recording sites gets large, the amount of pairwise SFC measurements becomes overwhelmingly challenging to interpret. We develop Generalized Phase Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate SFC. GPLA describes the dominant coupling between field activity and neural ensembles across space and frequencies. We show that GPLA features are biophysically interpretable when used in conjunction with appropriate network models, such that we can identify the influence of underlying circuit properties on these features. We demonstrate the statistical benefits and interpretability of this approach in various computational models and Utah array recordings. The results suggest that GPLA, used jointly with biophysical modeling, can help uncover the contribution of recurrent microcircuits to the spatio-temporal dynamics observed in multi-channel experimental recordings.","lang":"eng"}],"ddc":["570"],"article_type":"original","title":"Uncovering the organization of neural circuits with Generalized Phase Locking Analysis","_id":"12862","oa":1,"date_created":"2023-04-23T22:01:03Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"issue":"4","publication_identifier":{"eissn":["1553-7358"]},"author":[{"first_name":"Shervin","last_name":"Safavi","full_name":"Safavi, Shervin"},{"last_name":"Panagiotaropoulos","first_name":"Theofanis I.","full_name":"Panagiotaropoulos, Theofanis I."},{"last_name":"Kapoor","first_name":"Vishal","full_name":"Kapoor, Vishal"},{"last_name":"Ramirez Villegas","first_name":"Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87","full_name":"Ramirez Villegas, Juan F"},{"full_name":"Logothetis, Nikos K.","first_name":"Nikos K.","last_name":"Logothetis"},{"full_name":"Besserve, Michel","last_name":"Besserve","first_name":"Michel"}],"related_material":{"link":[{"relation":"software","url":"https://github.com/shervinsafavi/gpla.git"}]},"date_published":"2023-04-01T00:00:00Z","language":[{"iso":"eng"}],"article_processing_charge":"No","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","publisher":"Public Library of Science","status":"public"}