Quantifying topological invariants of neuronal morphologies


Autoria(s): Kanari, Lida; Dłotko, Paweł; Scolamiero, Martina; Levi, Ran; Shillcock, Julian; Hess, Kathryn; Markram, Henry
Contribuinte(s)

University of Aberdeen, Natural & Computing Sciences, Mathematical Sciences

Data(s)

05/08/2016

05/08/2016

28/03/2016

Resumo

10 pages, 5 figures, conference or other essential info Acknowledgments LK and JCS were supported by Blue Brain Project. P.D. and R.L. were supported in part by the Blue Brain Project and by the start-up grant of KH. Partial support for P.D. has been provided by the Advanced Grant of the European Research Council GUDHI (Geometric Understanding in Higher Dimensions). MS was supported by the SNF NCCR ”Synapsy”.

Peer reviewed

Preprint

Formato

10

Identificador

Kanari , L , Dłotko , P , Scolamiero , M , Levi , R , Shillcock , J , Hess , K & Markram , H 2016 , ' Quantifying topological invariants of neuronal morphologies ' arXiv .

PURE: 65150908

PURE UUID: afecbc2d-9d97-4322-ab50-a369762cc6ec

ArXiv: http://arxiv.org/abs/1603.08432v1

http://hdl.handle.net/2164/7006

Idioma(s)

eng

Relação

arXiv

Palavras-Chave #q-bio.NC #cs.DS #math.AT
Tipo

Journal article