Benchmarking Spike Rate Inference in Population Calcium Imaging
about
Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo.Fast online deconvolution of calcium imaging dataImproving data quality in neuronal population recordings.Deciphering the molecular mechanism responsible for GCaMP6m's Ca2+-dependent change in fluorescence.An integrated calcium imaging processing toolbox for the analysis of neuronal population dynamicsGenetically encoded indicators of neuronal activity.In vivo imaging of neural activity.Dorsal-CA1 Hippocampal Neuronal Ensembles Encode Nicotine-Reward Contextual Associations.Fast two-photon imaging of subcellular voltage dynamics in neuronal tissue with genetically encoded indicators.Tracking the Same Neurons across Multiple Days in Ca2+ Imaging Data.History-based action selection bias in posterior parietal cortex.Weak correlations between hemodynamic signals and ongoing neural activity during the resting state.Transformation of Cortex-wide Emergent Properties during Motor Learning.Genetic Dissection of Neural Circuits: A Decade of Progress.Axial localization with modulated-illumination extended-depth-of-field microscopy.An open source tool for automatic spatiotemporal assessment of calcium transients and local 'signal-close-to-noise' activity in calcium imaging data.Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.Decoding cortical brain states from widefield calcium imaging data using visibility graph.Robustness of Spike Deconvolution for Neuronal Calcium Imaging
P2860
Q27335585-EC7CBC39-4DBE-4FBF-87BA-E5B734D2A0E9Q30843179-E5ADC709-D60A-4F13-833E-3ADA6BEE1DDEQ31125015-9B04E0BE-019E-487B-9600-5C861A71126FQ36275369-A2094843-F443-4333-8D5F-BC66CF85E0B5Q36395068-D3B02B38-F9A8-41D8-9326-41B7C555B789Q38826900-3B45AC08-8EF3-48B1-B835-8F7E61D9D6A9Q39210973-B0B49C60-4311-4E84-9055-252132A68BF9Q41106578-3A3AD1AD-4F90-4D9C-BAD1-8DA9B1872C9AQ41618403-CEDDCA8C-BB28-4FD2-815B-4E8CAB0738E9Q44905213-BA67FCD7-CA9A-4C7E-A5CD-9490FDC2F288Q46075943-9F725816-C9D6-443F-8353-4886CFA72516Q47305085-AC6E7A33-9958-4D7A-A4D6-A72F90A74CEFQ50437641-1EDB22D7-D136-4471-B977-A940621E2A92Q52577303-743F8219-CE77-4893-9156-85EFF345589EQ55030666-45E37D9E-52C9-4040-B4DF-4ADF5FC9F7CCQ55316384-9FDF80C1-7040-4EC4-9DD7-27AE0FE82133Q55342498-783719BB-CB1C-4DDF-A4E6-3EF3E60E64F5Q55450801-8000197B-88E6-4C1F-8E43-01DFD182D947Q57381490-FDE17D13-CDE4-4B3A-89F6-0B551C8D16D9
P2860
Benchmarking Spike Rate Inference in Population Calcium Imaging
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Benchmarking Spike Rate Inference in Population Calcium Imaging
@en
type
label
Benchmarking Spike Rate Inference in Population Calcium Imaging
@en
prefLabel
Benchmarking Spike Rate Inference in Population Calcium Imaging
@en
P2093
P2860
P50
P1433
P1476
Benchmarking Spike Rate Inference in Population Calcium Imaging
@en
P2093
Andreas S Tolias
Jacob Reimer
Lucas Theis
Matthias Bethge
Miroslav Román Rosón
P2860
P304
P356
10.1016/J.NEURON.2016.04.014
P407
P577
2016-05-01T00:00:00Z