Chronic cannabis use affects cerebellum dependent visuomotor adaptation

Autor: Chrysanthi Blithikioti, Laia Miquel, Blanca Paniello, Laura Nuño, Antoni Gual, Belen Rubio Ballester, Adrian Fernandez, Ivan Herreros, Paul Verschure, Mercedes Balcells-Olivero

Publikováno v: Journal of psychiatric research. 156

Cannabis is one of the most commonly used substances in the world. However, its effects on human cognition are not yet fully understood. Although the cerebellum has the highest density of cannabinoid receptor type 1 (CB1R) in the human brain, literat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b683112dadc33c89e3286c7c85467519
https://pubmed.ncbi.nlm.nih.gov/36219905

Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex

Autor: Paul F. M. J. Verschure, Giovanni Pezzulo, Kenji Doya, Daniele Caligiore, Rick C. Helmich, Ángel Lago-Rodríguez, Peter L. Strick, Andreea C. Bostan, James C. Houk, Gianluca Baldassarre, Ivan Herreros, Riccardo Zucca, Michiel F. Dirkx, Joseph M. Galea, R. Chris Miall, Henrik Jörntell, Traian Popa, Asha Kishore

Publikováno v: Cerebellum, 16, 1, pp. 203-229
Cerebellum (Lond., Print) 16 (2016): 203–229. doi:10.1007/s12311-016-0763-3
info:cnr-pdr/source/autori:Caligiore D.; Pezzulo G.; Baldassarre G.; Bostan A.C.; Strick P.L.; Doya K.; Helmich R.C.; Dirkx M.; Houk J.; Jorntell H.; Lago-Rodriguez A.; Galea J.M.; Miall R.C.; Popa T.; Kishore A.; Verschure P.F.M.J.; Zucca R.; Herreros I./titolo:Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex/doi:10.1007%2Fs12311-016-0763-3/rivista:Cerebellum (Lond., Print)/anno:2016/pagina_da:203/pagina_a:229/intervallo_pagine:203–229/volume:16
The Cerebellum
Cerebellum, 16, 203-229
Europe PubMed Central

Despite increasing evidence suggesting the cerebellum works in concert with the cortex and basal ganglia, the nature of the reciprocal interactions between these three brain regions remains unclear. This consensus paper gathers diverse recent views o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac92d064a787aeec6fa4715ac8e2258e
https://doi.org/10.1007/s12311-016-0763-3

Learning and control

Autor: Ivan Herreros

Publikováno v: Oxford Scholarship

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e19db2a8b0a170fff6843f0e40f4ba60
https://doi.org/10.1093/oso/9780199674923.003.0026

A Forward Model at Purkinje Cell Synapses Facilitates Cerebellar Anticipatory Control

Autor: Paul F. M. J. Verschure, Ivan Herreros, Xerxes D. Arsiwalla

How does our motor system solve the problem of anticipatory control in spite of a wide spectrum of response dynamics from different musculo-skeletal systems, transport delays as well as response latencies throughout the central nervous system? To a g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec847905c876056f3ce90b782b0dfd1a

Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum

Autor: Martí Sánchez-Fibla, Ivan Herreros, Giovanni Maffei, Paul F. M. J. Verschure

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447773
ICANN (1)

Learning mechanisms inspired by the animal cerebellum have shown promising achievements in artificial motor adaptation, mainly by focusing on the computation performed in the molecular layer. Other sites of cerebellar plasticity however are less expl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fd50997f1f983b0d0f230cd10a812a3
https://doi.org/10.1007/978-3-319-44778-0_32