Improving voltage-sensitive dye imaging: with a little help from computational approaches-Reference-Cited by-同舟云学术

Improving voltage-sensitive dye imaging: with a little help from computational approaches

Published:2017-05-19 Issue:3 Volume:4 Page:031215
ISSN:2329-423X
Container-title:Neurophotonics
language:en
Short-container-title:Neurophoton

Author:

Chemla Sandrine¹,Muller Lyle²,Reynaud Alexandre³,Takerkart Sylvain¹,Destexhe Alain⁴,Chavane Frédéric¹

Affiliation:

1. Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), UMR-7289 Institut de Neurosciences de la Timone, Marseille, France

2. Salk Institute for Biological Studies, Computational Neurobiology Laboratory, La Jolla, California, United States

3. McGill University, McGill Vision Research, Department of Ophthalmology, Montreal, Quebec, Canada

4. Unit for Neurosciences, Information and Complexity (UNIC), Centre National de la Recherche Scientifique (CNRS), UPR-3293, Gif-sur-Yvette, FranceeThe European Institute for Theoretical Neuroscience (EITN), Paris, France

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Neuroscience (miscellaneous)

Reference117 articles.

1. Imaging Cortical Dynamics at High Spatial and Temporal Resolution with Novel Blue Voltage-Sensitive Dyes

2. VSDI: a new era in functional imaging of cortical dynamics

3. Putting big data to good use in neuroscience

4. Weight Consistency Specifies Regularities of Macaque Cortical Networks

5. A constructive mean-field analysis of multi population neural networks with random synaptic weights and stochastic inputs

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