[{"article_processing_charge":"No","date_created":"2023-03-26T22:01:08Z","department":[{"_id":"GaTk"},{"_id":"GradSch"}],"publication_status":"published","intvolume":"         3","title":"Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain","scopus_import":"1","_id":"12762","author":[{"orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","first_name":"Fabrizio","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"full_name":"Pepic, Selver","last_name":"Pepic","first_name":"Selver","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425"},{"full_name":"Shriki, Oren","last_name":"Shriki","first_name":"Oren"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"0000-0002-6699-1455","full_name":"Tkačik, Gašper"},{"id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5214-4706","full_name":"De Martino, Daniele","first_name":"Daniele","last_name":"De Martino"}],"publisher":"Springer Nature","article_type":"original","quality_controlled":"1","ec_funded":1,"page":"254-263","file_date_updated":"2023-08-16T12:39:57Z","day":"20","doi":"10.1038/s43588-023-00410-9","arxiv":1,"abstract":[{"text":"Neurons in the brain are wired into adaptive networks that exhibit collective dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches. Although existing models account for oscillations and avalanches separately, they typically do not explain both phenomena, are too complex to analyze analytically or intractable to infer from data rigorously. Here we propose a feedback-driven Ising-like class of neural networks that captures avalanches and oscillations simultaneously and quantitatively. In the simplest yet fully microscopic model version, we can analytically compute the phase diagram and make direct contact with human brain resting-state activity recordings via tractable inference of the model’s two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor oscillations to collective behaviors of extreme events and neuronal avalanches. Importantly, the inferred parameters indicate that the co-existence of scale-specific (oscillations) and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"year":"2023","citation":{"short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.","mla":"Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” <i>Nature Computational Science</i>, vol. 3, Springer Nature, 2023, pp. 254–63, doi:<a href=\"https://doi.org/10.1038/s43588-023-00410-9\">10.1038/s43588-023-00410-9</a>.","ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nature Computational Science. 3, 254–263.","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. <i>Nature Computational Science</i>. 2023;3:254-263. doi:<a href=\"https://doi.org/10.1038/s43588-023-00410-9\">10.1038/s43588-023-00410-9</a>","apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., &#38; De Martino, D. (2023). Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. <i>Nature Computational Science</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s43588-023-00410-9\">https://doi.org/10.1038/s43588-023-00410-9</a>","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.” <i>Nature Computational Science</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s43588-023-00410-9\">https://doi.org/10.1038/s43588-023-00410-9</a>.","ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain,” <i>Nature Computational Science</i>, vol. 3. Springer Nature, pp. 254–263, 2023."},"date_updated":"2023-08-16T12:41:53Z","external_id":{"arxiv":["2108.06686"]},"volume":3,"acknowledgement":"This research was funded in whole, or in part, by the Austrian Science Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. The study was supported by the European Union Horizon 2020 research and innovation program under the Marie Sklodowska-Curie action (grant agreement No. 754411 to F.L.).","ddc":["570"],"project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"},{"name":"Functional Advantages of Critical Brain Dynamics","grant_number":"M03318","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67"},{"grant_number":"P34015","name":"Efficient coding with biophysical realism","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"}],"oa_version":"Published Version","month":"03","has_accepted_license":"1","publication":"Nature Computational Science","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["2662-8457"]},"oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","date_published":"2023-03-20T00:00:00Z","file":[{"file_size":4474284,"checksum":"7c63b2b2edfd68aaffe96d70ca6a865a","date_created":"2023-08-16T12:39:57Z","content_type":"application/pdf","file_name":"2023_NatureCompScience_Lombardi.pdf","date_updated":"2023-08-16T12:39:57Z","access_level":"open_access","relation":"main_file","success":1,"creator":"dernst","file_id":"14073"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public"},{"acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411. GT\r\nacknowledges the support of the Austrian Science Fund (FWF) under Stand-Alone Grant\r\nNo. P34015.","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2108.06686"}],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["570"],"arxiv":1,"doi":"10.48550/ARXIV.2108.06686","day":"17","abstract":[{"text":"Brain dynamics display collective phenomena as diverse as neuronal oscillations and avalanches. Oscillations are rhythmic, with fluctuations occurring at a characteristic scale, whereas avalanches are scale-free cascades of neural activity. Here we show that such antithetic features can coexist in a very generic class of adaptive neural networks. In the most simple yet fully microscopic model from this class we make direct contact with human brain resting-state activity recordings via tractable inference of the model's two essential parameters. The inferred model quantitatively captures the dynamics over a broad range of scales, from single sensor fluctuations, collective behaviors of nearly-synchronous extreme events on multiple sensors, to neuronal avalanches unfolding over multiple sensors across multiple time-bins. Importantly, the inferred parameters correlate with model-independent signatures of \"closeness to criticality\", suggesting that the coexistence of scale-specific (neural oscillations) and scale-free (neuronal avalanches) dynamics in brain activity occurs close to a non-equilibrium critical point at the onset of self-sustained oscillations.","lang":"eng"}],"oa":1,"date_updated":"2022-03-22T07:53:18Z","citation":{"ieee":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Quantifying the coexistence of neuronal oscillations and avalanches.” arXiv.","chicago":"Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele De Martino. “Quantifying the Coexistence of Neuronal Oscillations and Avalanches.” arXiv, n.d. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">https://doi.org/10.48550/ARXIV.2108.06686</a>.","apa":"Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., &#38; De Martino, D. (n.d.). Quantifying the coexistence of neuronal oscillations and avalanches. arXiv. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">https://doi.org/10.48550/ARXIV.2108.06686</a>","ama":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. doi:<a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>","ista":"Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Quantifying the coexistence of neuronal oscillations and avalanches. <a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>.","short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, (n.d.).","mla":"Lombardi, Fabrizio, et al. <i>Quantifying the Coexistence of Neuronal Oscillations and Avalanches</i>. arXiv, doi:<a href=\"https://doi.org/10.48550/ARXIV.2108.06686\">10.48550/ARXIV.2108.06686</a>."},"year":"2021","date_published":"2021-08-17T00:00:00Z","type":"preprint","external_id":{"arxiv":["2108.06686"]},"publisher":"arXiv","page":"37","ec_funded":1,"language":[{"iso":"eng"}],"oa_version":"Preprint","publication_status":"submitted","date_created":"2022-03-21T11:41:28Z","article_processing_charge":"No","project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism","grant_number":"P34015"}],"department":[{"_id":"GaTk"}],"title":"Quantifying the coexistence of neuronal oscillations and avalanches","month":"08","_id":"10912","author":[{"orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","first_name":"Fabrizio","last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425"},{"last_name":"Pepic","first_name":"Selver","full_name":"Pepic, Selver","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425"},{"last_name":"Shriki","first_name":"Oren","full_name":"Shriki, Oren"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","full_name":"Tkačik, Gašper","orcid":"0000-0002-6699-1455","last_name":"Tkačik","first_name":"Gašper"},{"first_name":"Daniele","last_name":"De Martino","full_name":"De Martino, Daniele"}]}]