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pro vyhledávání: '"Fernando D, Farfán"'
Autor:
Ana L. Albarracín, Fernando D. Farfán
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107712- (2022)
Parkinson's disease (PD) is currently diagnosed based on characteristic motor dysfunctions induced by the loss of dopaminergic neurons in the substantia nigra pars compacta [1,2]. The animal model most commonly used to reproduce PD-related motor defi
Externí odkaz:
https://doaj.org/article/86c9954f30ed4cdd8e159c65f8cfcd40
Autor:
Javier Alegre-Cortés, Cristina Soto-Sánchez, Ana L. Albarracín, Fernando D. Farfán, Mikel Val-Calvo, José M. Ferrandez, Eduardo Fernandez
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2018)
Machine learning and artificial intelligence have strong roots on principles of neural computation. Some examples are the structure of the first perceptron, inspired in the retina, neuroprosthetics based on ganglion cell recordings or Hopfield networ
Externí odkaz:
https://doaj.org/article/f6873ed4b57b434daa7c4bf02a13a2b5
Autor:
Pablo Y, Teruya, Fernando D, Farfán, Álvaro G, Pizá, Jorge H, Soletta, Facundo A, Lucianna, Ana L, Albarracín
Publikováno v:
Medicalbiological engineeringcomputingReferences. 59(9)
Parkinson's disease (PD) is a neurodegenerative disease currently diagnosed based on characteristic motor dysfunctions. The most common Parkinson's disease animal model induces massive nigrostriatal degeneration by intracerebral infusion of 6-hydroxy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b488ebeb703614f25e3fb5e419e71925
https://pubmed.ncbi.nlm.nih.gov/34297299
https://pubmed.ncbi.nlm.nih.gov/34297299