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1 Ergebnisse
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Neuron arbor geometry is sensitive to the limited-range fra..:
Rowland, Conor
;
Smith, Julian H
;
Moslehi, Saba
...
Rowland C, Smith JH, Moslehi S, Harland B, Dalrymple-Alford J and Taylor RP (2023), Neuron arbor geometry is sensitive to the limited-range fractal properties of their dendrites. Front. Netw. Physiol. 3:1072815. doi:10.3389/fnetp.2023.1072815. , 2023
Link:
https://doi.org/10.3389/fnetp.2023.1072815
RT Journal T1 <Title>Neuron arbor geometry is sensitive to the limited-range fractal properties of their dendrites</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivoregonsb:oai:scholarsbank.uoregon.edu:1794_29008&Exemplar=1&LAN=DE A1 Rowland, Conor A1 Smith, Julian H A1 Moslehi, Saba A1 Harland, Bruce A1 Dalrymple-Alford, John A1 Taylor, Richard P PB Frontiers in Network Physiology YR 2023 K1 Neurons K1 Fractal analysis K1 Fractal dimension (D) K1 Tortuosity K1 Connectivity K1 Neuromorphology K1 Confocal microscopy K1 Hippocampal CA1 JF Rowland C, Smith JH, Moslehi S, Harland B, Dalrymple-Alford J and Taylor RP (2023), Neuron arbor geometry is sensitive to the limited-range fractal properties of their dendrites. Front. Netw. Physiol. 3:1072815. doi:10.3389/fnetp.2023.1072815 LK http://dx.doi.org/https://doi.org/10.3389/fnetp.2023.1072815 DO https://doi.org/10.3389/fnetp.2023.1072815 SF ELIB - SuUB Bremen
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