Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Carl C.H. Petersen"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37831- (2024)
The synaptic and neuronal circuit mechanisms underlying reward-based learning remain to be fully determined. In the mammalian brain, dopamine release in nucleus accumbens is thought to contribute importantly to reward signals for learning and promoti
Externí odkaz:
https://doaj.org/article/7fdb5b94351e434d93df53e6abbaa584
Autor:
Anastasiia Oryshchuk, Christos Sourmpis, Julie Weverbergh, Reza Asri, Vahid Esmaeili, Alireza Modirshanechi, Wulfram Gerstner, Carl C.H. Petersen, Sylvain Crochet
Publikováno v:
Cell Reports, Vol 43, Iss 1, Pp 113618- (2024)
Summary: Goal-directed behaviors involve coordinated activity in many cortical areas, but whether the encoding of task variables is distributed across areas or is more specifically represented in distinct areas remains unclear. Here, we compared repr
Externí odkaz:
https://doaj.org/article/87afd8b3c3474b62aecfe75644ae4bb0
Publikováno v:
Frontiers in Neuroanatomy, Vol 15 (2022)
Communication between cortical areas contributes importantly to sensory perception and cognition. On the millisecond time scale, information is signaled from one brain area to another by action potentials propagating across long-range axonal arboriza
Externí odkaz:
https://doaj.org/article/09ae3d5abac74ae9a6cebb997cceec9a
Publikováno v:
Cell Reports, Vol 15, Iss 4, Pp 700-706 (2016)
Sensory processing in neocortex is primarily driven by glutamatergic excitation, which is counterbalanced by GABAergic inhibition, mediated by a diversity of largely local inhibitory interneurons. Here, we trained mice to lick a reward spout in respo
Externí odkaz:
https://doaj.org/article/a1f5cf999dd64f9bad796a88c83b9f6c
Autor:
Nadia Urbain, Paul A. Salin, Paul-Antoine Libourel, Jean-Christophe Comte, Luc J. Gentet, Carl C.H. Petersen
Publikováno v:
Cell Reports, Vol 13, Iss 4, Pp 647-656 (2015)
The thalamus transmits sensory information to the neocortex and receives neocortical, subcortical, and neuromodulatory inputs. Despite its obvious importance, surprisingly little is known about thalamic function in awake animals. Here, using intracel
Externí odkaz:
https://doaj.org/article/72f5dc6d69b841d9b2e08893c5bbeef0
Publikováno v:
Cell Reports, Vol 9, Iss 5, Pp 1654-1660 (2014)
Summary: Internal brain states affect sensory perception, cognition, and learning. Many neocortical areas exhibit changes in the pattern and synchrony of neuronal activity during quiet versus active behaviors. Active behaviors are typically associate
Externí odkaz:
https://doaj.org/article/931b3fbd80d04fb095753ef42b5bc0eb
Neocortical neurons can increasingly be divided into well-defined classes, but their activity patterns during quantified behavior remain to be fully determined. Here, we obtained membrane potential recordings from various classes of excitatory and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c11bfc2a59906e289f730e770fbf9f8a
https://doi.org/10.1101/2022.09.12.507622
https://doi.org/10.1101/2022.09.12.507622
Autor:
Giulio Matteucci, Maëlle Guyoton, Johannes M. Mayrhofer, Matthieu Auffret, Georgios Foustoukos, Carl C.H. Petersen, Sami El-Boustani
Publikováno v:
Neuron. 110(24)
Behavioral states can influence performance of goal-directed sensorimotor tasks. Yet, it is unclear how altered neuronal sensory representations in these states relate to task performance and learning. We trained water-restricted mice in a two-whiske
Autor:
Carl C.H. Petersen
Publikováno v:
Nat Rev Neurosci
Tactile sensory information from facial whiskers provides nocturnal tunnel-dwelling rodents, including mice and rats, with important spatial and textural information about their immediate surroundings. Whiskers are moved back and forth to scan the en
Publikováno v:
Function. 2
The striatum integrates sensorimotor and motivational signals, likely playing a key role in reward-based learning of goal-directed behavior. However, cell type-specific mechanisms underlying reinforcement learning remain to be precisely determined. H