Zobrazeno 1 - 10
of 517
pro vyhledávání: '"Egidio D'Angelo"'
Autor:
Federico Tesler, Roberta Maria Lorenzi, Adam Ponzi, Claudia Casellato, Fulvia Palesi, Daniela Gandolfi, Claudia A. M. Gandini Wheeler Kingshott, Jonathan Mapelli, Egidio D'Angelo, Michele Migliore, Alain Destexhe
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
The development of biologically realistic models of brain microcircuits and regions constitutes currently a very relevant topic in computational neuroscience. One of the main challenges of such models is the passage between different scales, going fr
Externí odkaz:
https://doaj.org/article/08ffc0d9398e4549bf5000a8a21c1856
Autor:
Stefano Masoli, Diana Sanchez-Ponce, Nora Vrieler, Karin Abu-Haya, Vitaly Lerner, Tal Shahar, Hermina Nedelescu, Martina Francesca Rizza, Ruth Benavides-Piccione, Javier DeFelipe, Yosef Yarom, Alberto Munoz, Egidio D’Angelo
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Purkinje cells in the cerebellum are among the largest neurons in the brain and have been extensively investigated in rodents. However, their morphological and physiological properties remain poorly understood in humans. In this study, we ut
Externí odkaz:
https://doaj.org/article/2cd8a4fe3b38498daa4173e9f2af8507
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive dysfunction. Although research has mainly focused on forebrain abnormalities, emerging results support the involvement of the cerebellum in SZ physiopathology,
Externí odkaz:
https://doaj.org/article/b8a093f616924694ae30f4aa9ac7ad39
Autor:
Alice Geminiani, Claudia Casellato, Henk-Jan Boele, Alessandra Pedrocchi, Chris I De Zeeuw, Egidio D'Angelo
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 4, p e1011277 (2024)
According to the motor learning theory by Albus and Ito, synaptic depression at the parallel fibre to Purkinje cells synapse (pf-PC) is the main substrate responsible for learning sensorimotor contingencies under climbing fibre control. However, rece
Externí odkaz:
https://doaj.org/article/4b567e9a741349cc97edf07de3261d4b
Autor:
Silvia De Francesco, Claudio Crema, Damiano Archetti, Cristina Muscio, Robert I. Reid, Anna Nigri, Maria Grazia Bruzzone, Fabrizio Tagliavini, Raffaele Lodi, Egidio D’Angelo, Brad Boeve, Kejal Kantarci, Michael Firbank, John-Paul Taylor, Pietro Tiraboschi, Alberto Redolfi, the RIN – Neuroimaging Network
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm ca
Externí odkaz:
https://doaj.org/article/91157c153dca4a119207f9be522c5142
Publikováno v:
Biology, Vol 13, Iss 6, p 403 (2024)
A central hypothesis concerning brain functioning is that plasticity regulates the signal transfer function by modifying the efficacy of synaptic transmission. In the cerebellum, the granular layer has been shown to control the gain of signals transm
Externí odkaz:
https://doaj.org/article/9ddf2e36855f4a3ba24073da92420c9e
Autor:
Silvia Maria Marchese, Fulvia Palesi, Anna Nigri, Maria Grazia Bruzzone, Chiara Pantaleoni, Claudia A. M. Gandini Wheeler-Kingshott, Stefano D’Arrigo, Egidio D’Angelo, Paolo Cavallari
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
IntroductionWithin Pediatric Cerebellar Ataxias (PCAs), patients with non-progressive ataxia (NonP) surprisingly show postural motor behavior comparable to that of healthy controls, differently to slow-progressive ataxia patients (SlowP). This differ
Externí odkaz:
https://doaj.org/article/8b94a85680eb417389b7e9aafec54585
Autor:
Roberta Maria Lorenzi, Alice Geminiani, Yann Zerlaut, Marialaura De Grazia, Alain Destexhe, Claudia A M Gandini Wheeler-Kingshott, Fulvia Palesi, Claudia Casellato, Egidio D'Angelo
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011434 (2023)
Mean-field (MF) models are computational formalism used to summarize in a few statistical parameters the salient biophysical properties of an inter-wired neuronal network. Their formalism normally incorporates different types of neurons and synapses
Externí odkaz:
https://doaj.org/article/c2af305e8887474cb10e20e163538b54
Autor:
Robin De Schepper, Alice Geminiani, Stefano Masoli, Martina Francesca Rizza, Alberto Antonietti, Claudia Casellato, Egidio D’Angelo
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-19 (2022)
A computational modelling framework is developed, and used to reconstruct and simulate the entire cerebellar cortex, showing how mossy fibers entrain the neuronal microcircuit. This sheds light on local computation and neural correlates of behaviors
Externí odkaz:
https://doaj.org/article/e405dfb4641146d6b3c25a2b8b6cd367
Autor:
Anita Monteverdi, Fulvia Palesi, Michael Schirner, Francesca Argentino, Mariateresa Merante, Alberto Redolfi, Francesca Conca, Laura Mazzocchi, Stefano F. Cappa, Matteo Cotta Ramusino, Alfredo Costa, Anna Pichiecchio, Lisa M. Farina, Viktor Jirsa, Petra Ritter, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D’Angelo
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
IntroductionNeural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural and functional magnetic resonance imaging (MRI), yields mesosco
Externí odkaz:
https://doaj.org/article/39a95b4fdf674b15b26504978fee403e