[{"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","month":"12","title":"Scale-free activity as a basis for spatial learning and memory in the brain","corr_author":"1","year":"2025","day":"11","publisher":"Institute of Science and Technology Austria","_id":"20777","acknowledgement":"My work has been funded through the project \"Functional Advantages of Critical Brain\r\nDynamics\" of the ISTA interdisciplinary fund and through the FWF.\r\n","doi":"10.15479/AT-ISTA-20777","oa_version":"Published Version","das_tickbox":"1","date_updated":"2026-07-24T08:14:37Z","fulldoi":"https://doi.org/10.15479/AT-ISTA-20777","publication_identifier":{"issn":["2663-337X"]},"OA_place":"publisher","article_processing_charge":"No","language":[{"iso":"eng"}],"oa":1,"supervisor":[{"orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"date_published":"2025-12-11T00:00:00Z","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"abstract":[{"text":"A major challenge in neuroscience is deciphering how the brain orchestrates behavior in\r\nresponse to changes in environmental conditions. This process is characterized by several\r\nprocessing stages, from perception to the storage of important information. Information\r\nstorage is performed by a memory system implemented through complex networks of highly\r\ninterconnected neurons. The collective operational principles of neuronal networks that support\r\nformation and storage are the main topics of this thesis.\r\nTo investigate the collective dynamics of the hippocampus from the perspective of the brain\r\ncriticality hypothesis, I started by analyzing cascades of neural activity ¯ neuronal avalanches\r\n¯ that have been characterized by the absence of a typical spatial or temporal scale. Measures\r\nderived from neuronal avalanches suggested that during wakefulness the hippocampus operated\r\nfurther away from criticality than during sleep/rest. In addition, neural activity propagated\r\ndifferently in these two brain states, as indicated by different collapses of the avalanche shapes.\r\nNext, the Phenomenological Renormalization Group approach also indicated conceptually\r\nsimilar differences, through the scaling exponent of activity variance α, which was higher during\r\nsleep/rest than during awake. These results confirmed that the activity of the hippocampus\r\nexhibits signatures of criticality and that these signatures change with the state of the brain.\r\nNext, I found that memory retention was predicted by the scaling exponent of activity variance\r\nα. The exponent α measured during the sleep/rest session that followed learning correlated\r\nwith memory retention during the subsequent unrewarded testing session. Moreover, α\r\npredicted performance even when controlled for reactivation that occurs in parallel. Second, α\r\nmeasured in the sleep/rest phase that preceded learning was correlated with the learning speed.\r\nI analyzed distributions of the cells’ characteristic timescale and burstiness. The day-to-day\r\nvariability of these distributions, during sleep/rest that followed learning, correlated with the\r\nscaling exponent of activity variance α, as well as with memory retention. These findings\r\nconfirmed that variance scaling and functional heterogeneity provide behaviorally meaningful\r\nperspectives on hippocampal activity, as they are directly related to memory consolidation.\r\nI further investigated the process of memory acquisition and consolidation between the\r\nhippocampus CA1 and the mEC. During learning, CA1 cells shifted their firing field towards\r\nthe goals, while mEC cells remained mostly stable, shifting their firing fields towards the goals\r\nduring sleep/rest that followed learning. This shift during sleep/rest was supported by the\r\nreactivation process, which occurred in two ways, synchronously with CA1 (during SWRs) and\r\nindependently of the hippocampal SWRs. Both types of reactivation predicted subsequent\r\nmemory retention, as well as the amount of goal-related remapping. Again, the day-to-day\r\nvariability of the distribution of the cell timescales correlated with the goal-related remapping,\r\nin CA1 during the learning session and in mEC during sleep/rest. These results suggest that\r\nin spatial navigation tasks, the functional responsibilities of CA1 and mEC change between\r\nlearning and sleep/rest and that their function benefits from increased functional heterogeneity\r\namong cells.\r\n","lang":"eng"}],"status":"public","degree_awarded":"PhD","has_accepted_license":"1","ddc":["570","539","571"],"file":[{"checksum":"aae9d1ed53f7b67f75e289c26a02b72f","file_id":"20778","date_created":"2025-12-10T19:28:20Z","relation":"main_file","date_updated":"2026-06-11T22:30:02Z","embargo":"2026-06-11","file_name":"2025_Zivadinovic_Predrag_PhD_thesis.pdf","content_type":"application/pdf","creator":"pzivadin","file_size":8105379,"access_level":"open_access"},{"embargo_to":"open_access","relation":"source_file","date_created":"2025-12-10T19:28:10Z","file_id":"20779","checksum":"8a08a3804ce7d9d625fdf1631113da8c","date_updated":"2026-06-11T22:30:02Z","creator":"pzivadin","access_level":"closed","file_size":8512240,"content_type":"application/zip","file_name":"2025_Zivadinovic_Predrag_PhD_thesis_source.zip"}],"citation":{"apa":"Zivadinovic, P. (2025). <i>Scale-free activity as a basis for spatial learning and memory in the brain</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-20777\">https://doi.org/10.15479/AT-ISTA-20777</a>","short":"P. Zivadinovic, Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain, Institute of Science and Technology Austria, 2025.","ista":"Zivadinovic P. 2025. Scale-free activity as a basis for spatial learning and memory in the brain. Institute of Science and Technology Austria.","mla":"Zivadinovic, Predrag. <i>Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20777\">10.15479/AT-ISTA-20777</a>.","ama":"Zivadinovic P. Scale-free activity as a basis for spatial learning and memory in the brain. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20777\">10.15479/AT-ISTA-20777</a>","ieee":"P. Zivadinovic, “Scale-free activity as a basis for spatial learning and memory in the brain,” Institute of Science and Technology Austria, 2025.","chicago":"Zivadinovic, Predrag. “Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-20777\">https://doi.org/10.15479/AT-ISTA-20777</a>."},"doi_confirm":"1","publication_status":"published","project":[{"_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67","grant_number":"M03318","name":"Functional Advantages of Critical Brain Dynamics"}],"author":[{"full_name":"Zivadinovic, Predrag","first_name":"Predrag","last_name":"Zivadinovic","id":"68AA0E5A-AFDA-11E9-9994-141DE6697425"}],"type":"dissertation","alternative_title":["ISTA Thesis"],"date_created":"2025-12-10T19:37:41Z","page":"104","file_date_updated":"2026-06-11T22:30:02Z"},{"file_date_updated":"2023-10-09T07:23:46Z","author":[{"last_name":"Scarpetta","full_name":"Scarpetta, Silvia","first_name":"Silvia"},{"full_name":"Morrisi, Niccolò","first_name":"Niccolò","last_name":"Morrisi"},{"last_name":"Mutti","full_name":"Mutti, Carlotta","first_name":"Carlotta"},{"first_name":"Nicoletta","full_name":"Azzi, Nicoletta","last_name":"Azzi"},{"first_name":"Irene","full_name":"Trippi, Irene","last_name":"Trippi"},{"full_name":"Ciliento, Rosario","first_name":"Rosario","last_name":"Ciliento"},{"last_name":"Apicella","full_name":"Apicella, Ilenia","first_name":"Ilenia"},{"full_name":"Messuti, Giovanni","first_name":"Giovanni","last_name":"Messuti"},{"last_name":"Angiolelli","first_name":"Marianna","full_name":"Angiolelli, Marianna"},{"first_name":"Fabrizio","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","id":"A057D288-3E88-11E9-986D-0CF4E5697425","last_name":"Lombardi"},{"full_name":"Parrino, Liborio","first_name":"Liborio","last_name":"Parrino"},{"full_name":"Vaudano, Anna Elisabetta","first_name":"Anna Elisabetta","last_name":"Vaudano"}],"issue":"10","type":"journal_article","date_created":"2023-02-02T10:50:17Z","page":"107840","license":"https://creativecommons.org/licenses/by/4.0/","publication_status":"published","project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"},{"name":"Functional Advantages of Critical Brain Dynamics","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67","grant_number":"M03318"}],"file":[{"relation":"main_file","date_created":"2023-10-09T07:23:46Z","checksum":"f499836af172ecc9865de4bb41fa99d1","file_id":"14412","date_updated":"2023-10-09T07:23:46Z","file_name":"2023_iScience_Scarpetta.pdf","content_type":"application/pdf","creator":"dernst","access_level":"open_access","success":1,"file_size":4872708}],"citation":{"ista":"Scarpetta S, Morrisi N, Mutti C, Azzi N, Trippi I, Ciliento R, Apicella I, Messuti G, Angiolelli M, Lombardi F, Parrino L, Vaudano AE. 2023. Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. iScience. 26(10), 107840.","mla":"Scarpetta, Silvia, et al. “Criticality of Neuronal Avalanches in Human Sleep and Their Relationship with Sleep Macro- and Micro-Architecture.” <i>IScience</i>, vol. 26, no. 10, Elsevier, 2023, p. 107840, doi:<a href=\"https://doi.org/10.1016/j.isci.2023.107840\">10.1016/j.isci.2023.107840</a>.","ieee":"S. Scarpetta <i>et al.</i>, “Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture,” <i>iScience</i>, vol. 26, no. 10. Elsevier, p. 107840, 2023.","ama":"Scarpetta S, Morrisi N, Mutti C, et al. Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. <i>iScience</i>. 2023;26(10):107840. doi:<a href=\"https://doi.org/10.1016/j.isci.2023.107840\">10.1016/j.isci.2023.107840</a>","chicago":"Scarpetta, Silvia, Niccolò Morrisi, Carlotta Mutti, Nicoletta Azzi, Irene Trippi, Rosario Ciliento, Ilenia Apicella, et al. “Criticality of Neuronal Avalanches in Human Sleep and Their Relationship with Sleep Macro- and Micro-Architecture.” <i>IScience</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.isci.2023.107840\">https://doi.org/10.1016/j.isci.2023.107840</a>.","apa":"Scarpetta, S., Morrisi, N., Mutti, C., Azzi, N., Trippi, I., Ciliento, R., … Vaudano, A. E. (2023). Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture. <i>IScience</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.isci.2023.107840\">https://doi.org/10.1016/j.isci.2023.107840</a>","short":"S. Scarpetta, N. Morrisi, C. Mutti, N. Azzi, I. Trippi, R. Ciliento, I. Apicella, G. Messuti, M. Angiolelli, F. Lombardi, L. Parrino, A.E. Vaudano, IScience 26 (2023) 107840."},"has_accepted_license":"1","scopus_import":"1","ddc":["570"],"status":"public","publication":"iScience","ec_funded":1,"article_processing_charge":"Yes","language":[{"iso":"eng"}],"external_id":{"pmid":["37766992"],"isi":["001082331200001"]},"oa":1,"date_published":"2023-10-20T00:00:00Z","department":[{"_id":"GaTk"}],"intvolume":"        26","abstract":[{"lang":"eng","text":"Sleep plays a key role in preserving brain function, keeping the brain network in a state that ensures optimal computational capabilities. Empirical evidence indicates that such a state is consistent with criticality, where scale-free neuronal avalanches emerge. However, the relationship between sleep, emergent avalanches, and criticality remains poorly understood. Here we fully characterize the critical behavior of avalanches during sleep, and study their relationship with the sleep macro- and micro-architecture, in particular the cyclic alternating pattern (CAP). We show that avalanche size and duration distributions exhibit robust power laws with exponents approximately equal to −3/2 e −2, respectively. Importantly, we find that sizes scale as a power law of the durations, and that all critical exponents for neuronal avalanches obey robust scaling relations, which are consistent with the mean-field directed percolation universality class. Our analysis demonstrates that avalanche dynamics depends on the position within the NREM-REM cycles, with the avalanche density increasing in the descending phases and decreasing in the ascending phases of sleep cycles. Moreover, we show that, within NREM sleep, avalanche occurrence correlates with CAP activation phases, particularly A1, which are the expression of slow wave sleep propensity and have been proposed to be beneficial for cognitive processes. The results suggest that neuronal avalanches, and thus tuning to criticality, actively contribute to sleep development and play a role in preserving network function. Such findings, alongside characterization of the universality class for avalanches, open new avenues to the investigation of functional role of criticality during sleep with potential clinical application.</jats:p><jats:sec><jats:title>Significance statement</jats:title><jats:p>We fully characterize the critical behavior of neuronal avalanches during sleep, and show that avalanches follow precise scaling laws that are consistent with the mean-field directed percolation universality class. The analysis provides first evidence of a functional relationship between avalanche occurrence, slow-wave sleep dynamics, sleep stage transitions and occurrence of CAP phase A during NREM sleep. Because CAP is considered one of the major guardians of NREM sleep that allows the brain to dynamically react to external perturbation and contributes to the cognitive consolidation processes occurring in sleep, our observations suggest that neuronal avalanches at criticality are associated with flexible response to external inputs and to cognitive processes, a key assumption of the critical brain hypothesis."}],"pmid":1,"fulldoi":"https://doi.org/10.1016/j.isci.2023.107840","publication_identifier":{"eissn":["2589-0042"]},"quality_controlled":"1","date_updated":"2025-04-14T07:44:00Z","volume":26,"oa_version":"Published Version","isi":1,"_id":"12487","acknowledgement":"FL acknowledges support from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411, and from the Austrian Science Fund (FWF) under the Lise Meitner fellowship No. PT1013M03318. IA acknowledges financial support from the MIUR PRIN 2017WZFTZP.","publisher":"Elsevier","doi":"10.1016/j.isci.2023.107840","title":"Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture","year":"2023","day":"20","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"10","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","short":"CC BY (4.0)","image":"/images/cc_by.png"}},{"file_date_updated":"2024-01-30T14:07:08Z","type":"journal_article","issue":"10","author":[{"last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425","orcid":"0000-0003-2623-5249","full_name":"Lombardi, Fabrizio","first_name":"Fabrizio"},{"full_name":"Herrmann, Hans J.","first_name":"Hans J.","last_name":"Herrmann"},{"first_name":"Liborio","full_name":"Parrino, Liborio","last_name":"Parrino"},{"full_name":"Plenz, Dietmar","first_name":"Dietmar","last_name":"Plenz"},{"last_name":"Scarpetta","full_name":"Scarpetta, Silvia","first_name":"Silvia"},{"full_name":"Vaudano, Anna Elisabetta","first_name":"Anna Elisabetta","last_name":"Vaudano"},{"full_name":"De Arcangelis, Lucilla","first_name":"Lucilla","last_name":"De Arcangelis"},{"last_name":"Shriki","full_name":"Shriki, Oren","first_name":"Oren"}],"article_number":"113162","date_created":"2023-10-08T22:01:15Z","publication_status":"published","project":[{"name":"Functional Advantages of Critical Brain Dynamics","grant_number":"M03318","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67"},{"name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"754411"}],"citation":{"apa":"Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano, A. E., … Shriki, O. (2023). Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. <i>Cell Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.celrep.2023.113162\">https://doi.org/10.1016/j.celrep.2023.113162</a>","short":"F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano, L. De Arcangelis, O. Shriki, Cell Reports 42 (2023).","mla":"Lombardi, Fabrizio, et al. “Beyond Pulsed Inhibition: Alpha Oscillations Modulate Attenuation and Amplification of Neural Activity in the Awake Resting State.” <i>Cell Reports</i>, vol. 42, no. 10, 113162, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113162\">10.1016/j.celrep.2023.113162</a>.","chicago":"Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz, Silvia Scarpetta, Anna Elisabetta Vaudano, Lucilla De Arcangelis, and Oren Shriki. “Beyond Pulsed Inhibition: Alpha Oscillations Modulate Attenuation and Amplification of Neural Activity in the Awake Resting State.” <i>Cell Reports</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.celrep.2023.113162\">https://doi.org/10.1016/j.celrep.2023.113162</a>.","ama":"Lombardi F, Herrmann HJ, Parrino L, et al. Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. <i>Cell Reports</i>. 2023;42(10). doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113162\">10.1016/j.celrep.2023.113162</a>","ieee":"F. Lombardi <i>et al.</i>, “Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state,” <i>Cell Reports</i>, vol. 42, no. 10. Elsevier, 2023.","ista":"Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, De Arcangelis L, Shriki O. 2023. Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state. Cell Reports. 42(10), 113162."},"file":[{"success":1,"access_level":"open_access","file_size":5599007,"creator":"dernst","content_type":"application/pdf","file_name":"2023_CellReports_Lombardi.pdf","date_updated":"2024-01-30T14:07:08Z","relation":"main_file","date_created":"2024-01-30T14:07:08Z","file_id":"14914","checksum":"9c71eb2a03aa160415f01ad95f49ceb5"}],"ddc":["570"],"scopus_import":"1","has_accepted_license":"1","publication":"Cell Reports","status":"public","language":[{"iso":"eng"}],"external_id":{"isi":["001086695500001"],"pmid":["37777965"]},"oa":1,"ec_funded":1,"article_processing_charge":"Yes","intvolume":"        42","abstract":[{"lang":"eng","text":"Alpha oscillations are a distinctive feature of the awake resting state of the human brain. However, their functional role in resting-state neuronal dynamics remains poorly understood. Here we show that, during resting wakefulness, alpha oscillations drive an alternation of attenuation and amplification bouts in neural activity. Our analysis indicates that inhibition is activated in pulses that last for a single alpha cycle and gradually suppress neural activity, while excitation is successively enhanced over a few alpha cycles to amplify neural activity. Furthermore, we show that long-term alpha amplitude fluctuations—the “waxing and waning” phenomenon—are an attenuation-amplification mechanism described by a power-law decay of the activity rate in the “waning” phase. Importantly, we do not observe such dynamics during non-rapid eye movement (NREM) sleep with marginal alpha oscillations. The results suggest that alpha oscillations modulate neural activity not only through pulses of inhibition (pulsed inhibition hypothesis) but also by timely enhancement of excitation (or disinhibition)."}],"department":[{"_id":"GaTk"}],"date_published":"2023-10-31T00:00:00Z","pmid":1,"fulldoi":"https://doi.org/10.1016/j.celrep.2023.113162","publication_identifier":{"eissn":["2211-1247"]},"quality_controlled":"1","date_updated":"2026-07-06T12:48:55Z","volume":42,"oa_version":"Published Version","isi":1,"doi":"10.1016/j.celrep.2023.113162","_id":"14402","related_material":{"record":[{"relation":"earlier_version","id":"10821","status":"public"}]},"publisher":"Elsevier","acknowledgement":"This research was funded in whole or in part by the Austrian Science Fund (FWF) (grant PT1013M03318 to F.L.). For the purpose of open access, the author has applied a CC BY public copyright license 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 754411 to F.L.) and in part by the NextGenerationEU through the grant TAlent in ReSearch@University of Padua – STARS@UNIPD (to F.L.) (project BRAINCIP [brain criticality and information processing]). L.d.A. acknowledges support from the Italian MIUR project PRIN2017WZFTZP and partial support from NEXTGENERATIONEU (NGEU) funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), and project MNESYS (PE0000006)—a multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). O.S. acknowledges support from the Israel Science Foundation, grant 504/17. The work was supported in part by DIRP ZIAMH02797 (to D.P.).","corr_author":"1","title":"Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state","day":"31","year":"2023","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"10","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","short":"CC BY (4.0)","image":"/images/cc_by.png"}},{"publication_identifier":{"eissn":["2662-8457"]},"quality_controlled":"1","fulldoi":"https://doi.org/10.1038/s43588-023-00410-9","volume":3,"date_updated":"2026-07-29T06:53:41Z","oa_version":"Published Version","isi":1,"publisher":"Springer Nature","_id":"12762","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.).","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"10912"}]},"doi":"10.1038/s43588-023-00410-9","year":"2023","day":"20","title":"Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain","corr_author":"1","month":"03","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","article_type":"original","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","short":"CC BY (4.0)","image":"/images/cc_by.png"},"file_date_updated":"2023-08-16T12:39:57Z","date_created":"2023-03-26T22:01:08Z","page":"254-263","author":[{"last_name":"Lombardi","id":"A057D288-3E88-11E9-986D-0CF4E5697425","full_name":"Lombardi, Fabrizio","orcid":"0000-0003-2623-5249","first_name":"Fabrizio"},{"full_name":"Pepic, Selver","first_name":"Selver","last_name":"Pepic","id":"F93245C4-C3CA-11E9-B4F0-C6F4E5697425"},{"full_name":"Shriki, Oren","first_name":"Oren","last_name":"Shriki"},{"full_name":"Tkačik, Gašper","orcid":"0000-0002-6699-1455","first_name":"Gašper","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"De Martino","id":"3FF5848A-F248-11E8-B48F-1D18A9856A87","full_name":"De Martino, Daniele","orcid":"0000-0002-5214-4706","first_name":"Daniele"}],"type":"journal_article","project":[{"grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships"},{"name":"Functional Advantages of Critical Brain Dynamics","grant_number":"M03318","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"}],"publication_status":"published","file":[{"file_size":4474284,"access_level":"open_access","success":1,"creator":"dernst","file_name":"2023_NatureCompScience_Lombardi.pdf","content_type":"application/pdf","date_updated":"2023-08-16T12:39:57Z","file_id":"14073","checksum":"7c63b2b2edfd68aaffe96d70ca6a865a","date_created":"2023-08-16T12:39:57Z","relation":"main_file"}],"citation":{"short":"F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational Science 3 (2023) 254–263.","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>","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.","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>.","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>.","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.","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>"},"has_accepted_license":"1","scopus_import":"1","ddc":["570"],"status":"public","publication":"Nature Computational Science","department":[{"_id":"GaTk"},{"_id":"GradSch"}],"date_published":"2023-03-20T00:00:00Z","abstract":[{"lang":"eng","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."}],"intvolume":"         3","ec_funded":1,"article_processing_charge":"No","language":[{"iso":"eng"}],"oa":1,"external_id":{"pmid":["38177880"],"arxiv":["2108.06686"],"isi":["000968161800002"]},"pmid":1,"arxiv":1}]