Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Piotr J Franaszczuk"'
Autor:
Korosh Mahmoodi, Scott E. Kerick, Piotr J. Franaszczuk, Thomas D. Parsons, Paolo Grigolini, Bruce J. West
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract In this work, we use a simple multi-agent-based-model (MABM) of a social network, implementing selfish algorithm (SA) agents, to create an adaptive environment and show, using a modified diffusion entropy analysis (DEA), that the mutual-adap
Externí odkaz:
https://doaj.org/article/b07aa3b22f764042afc97c6a3b634d06
Publikováno v:
Frontiers in Human Neuroscience, Vol 5 (2011)
Multilingual patients pose a unique challenge when planning epilepsy surgery near language cortex because the cortical representations of each language may be distinct. These distinctions may not be evident with routine electrocortical stimulation ma
Externí odkaz:
https://doaj.org/article/4e662d97dfd3441b8132f73eb47b6bba
Autor:
Dana Boatman-Reich, Piotr J Franaszczuk, Anna Korzeniewska, Brian Caffo, Eva K Ritzl, Sarah Colwell, Nathan Crone
Publikováno v:
Frontiers in Computational Neuroscience, Vol 4 (2010)
Multichannel intracranial recordings are used increasingly to study the functional organization of human cortex. Intracranial recordings of event-related activity, or electrocorticography (ECoG), are based on high density electrode arrays implanted d
Externí odkaz:
https://doaj.org/article/8b118062f5fc49f78b6fef2ac4e933aa
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Herein we address the measurable consequences of the network effect (NE) on time series generated by different parts of the brain, heart, and lung organ-networks (ONs), which are directly related to their inter-network and intra-network inte
Externí odkaz:
https://doaj.org/article/0a746353f9b7495983d817cb3c9c8f7f
Publikováno v:
Brain and Behavior, Vol 13, Iss 7, Pp n/a-n/a (2023)
Abstract Introduction Detrended fluctuation analysis (DFA) is a well‐established method to evaluate scaling indices of time series, which categorize the dynamics of complex systems. In the literature, DFA has been used to study the fluctuations of
Externí odkaz:
https://doaj.org/article/5c74a7ae9e2c4b54886c7bdc12e81a44
Publikováno v:
Entropy, Vol 25, Iss 10, p 1393 (2023)
The transdisciplinary nature of science as a whole became evident as the necessity for the complex nature of phenomena to explain social and life science, along with the physical sciences, blossomed into complexity theory and most recently into compl
Externí odkaz:
https://doaj.org/article/bd58777632c34e79913713f7293ed477
Detrended Fluctuation Analysis (DFA) is a well-known method to evaluate scaling indices of time series, categorizing the dynamics of complex systems. In the literature, DFA has been used to study the fluctuations of reaction time RT(n) time series, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e02009d7ad085c3237f9320c8b6e2046
https://doi.org/10.21203/rs.3.rs-1617624/v1
https://doi.org/10.21203/rs.3.rs-1617624/v1
Autor:
Anna Korzeniewska, Takumi Mitsuhashi, Yujing Wang, Eishi Asano, Piotr J. Franaszczuk, Nathan E. Crone
Publikováno v:
Neural Netw
Neural activity emerges and propagates swiftly between brain areas. Investigation of these transient large-scale flows requires sophisticated statistical models. We present a method for assessing the statistical confidence of event-related neural pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6509da52a43f86e752fbbcfc0991bbfe
https://europepmc.org/articles/PMC9029701/
https://europepmc.org/articles/PMC9029701/
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Large cortical and hippocampal pyramidal neurons are elements of neuronal circuitry that have been implicated in cross-frequency coupling (CFC) during cognitive tasks. We investigate potential mechanisms for CFC within these neurons by examining the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::553cf1bd8fddceb320cbd66fc4ca6e1b
https://www.frontiersin.org/article/10.3389/fncom.2020.00081/full
https://www.frontiersin.org/article/10.3389/fncom.2020.00081/full
Publikováno v:
Frontiers in computational neuroscience. 14
Large cortical and hippocampal pyramidal neurons are elements of neuronal circuitry that have been implicated in cross-frequency coupling (CFC) during cognitive tasks. We investigate potential mechanisms for CFC within these neurons by examining the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5c3881f194bd7d24444af2bc7a80ad64
https://pubmed.ncbi.nlm.nih.gov/33013344
https://pubmed.ncbi.nlm.nih.gov/33013344