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of 5
pro vyhledávání: '"Nestor Timonidis"'
Autor:
Nestor Timonidis, Rembrandt Bakker, Mario Rubio-Teves, Carmen Alonso-Martínez, Maria Garcia-Amado, Francisco Clascá, Paul H. E. Tiesinga
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Characterizing the connectomic and morphological diversity of thalamic neurons is key for better understanding how the thalamus relays sensory inputs to the cortex. The recent public release of complete single-neuron morphological reconstructions ena
Externí odkaz:
https://doaj.org/article/3d49a4ae94d14baca474d3064f924d41
Autor:
Rembrandt Bakker, Mario Rubio-Teves, Nestor Timonidis, María García-Amado, Francisco Clascá, Paul Tiesinga
Since the turn of this century, new and powerful cell labeling techniques have allowed the consistent and complete labeling of axonal arborizations of individual long range projection neurons (LRPNs) in mouse (Furuta et al, 2001). The prospect of cre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c3973d739a0a85c3d8402743802a9a6
https://doi.org/10.14293/p2199-8442.1.sop-.ptpvj0.v1
https://doi.org/10.14293/p2199-8442.1.sop-.ptpvj0.v1
Autor:
Paul H. E. Tiesinga, Nestor Timonidis
Publikováno v:
Neuroscience and Biobehavioral Reviews, 128, pp. 569-591
Neuroscience & Biobehavioral Reviews, Vol. 128
Neuroscience and Biobehavioral Reviews, 128, 569-591
Neuroscience & Biobehavioral Reviews, Vol. 128
Neuroscience and Biobehavioral Reviews, 128, 569-591
Over the past decade there has been a rapid improvement in techniques for obtaining large-scale cellular level data related to the mouse brain connectome. However, a detailed mapping of cell-type-specific projection patterns is lacking, which would,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c748bd2ea009cca0ce4b3c4fc65c5f8f
Reconstructing brain connectivity at sufficient resolution for computational models designed to study the biophysical mechanisms underlying cognitive processes is extremely challenging. For such a purpose, a mesoconnectome that includes laminar and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e22006bea98082cf944af44b311034f
https://doi.org/10.1101/736520
https://doi.org/10.1101/736520
Publikováno v:
Neuroinformatics, 18, pp. 611-626
Neuroinformatics, 18, 611-626
Neuroinformatics, Vol. 18, No. 4
Neuroinformatics
Neuroinformatics, 18, 611-626
Neuroinformatics, Vol. 18, No. 4
Neuroinformatics
Reconstructing brain connectivity at sufficient resolution for computational models designed to study the biophysical mechanisms underlying cognitive processes is extremely challenging. For such a purpose, a mesoconnectome that includes laminar and c