Genetically encoded indicators of neuronal activity
By Michael Z. Lin, Mark J. Schnitzer. Nature Neuroscience, 2016
619 citations recorded by the source corpus.
Subfields: Biophysics, Cellular and Molecular Neuroscience
View Paper: https://www.semanticscholar.org/paper/d177151cbd313186fed2287a79af728028173e54
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
- Nicholas A. Steinmetz
- Kenneth D. Harris
- Matteo Carandini
- Christof Koch
- Ed Boyden
- Surya Ganguli
- Nikos K. Logothetis
In Cellular and Molecular Neuroscience
- Christof Koch
- Nicholas A. Steinmetz
- Matteo Carandini
- Krishna V. Shenoy
- Kenneth D. Harris
- Stephen I. Ryu
- Saurabh Vyas
- Ed Boyden
Citations in the corpus
- A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters (2018, positive): “We applied our strategy to the creation of genetically encoded fluorescent indicators of membrane potential 8 .”
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse (2021, positive): “In the last decade, macroscale wide-field imaging, coupled with fluorescent activity indicators (e.g., Genetically Encoded Calcium Indicators, GECIs [1–4]), has provided new insights on the study of brain activity patterns [5–13].”
- Challenges and opportunities for large-scale electrophysiology with Neuropixels probes (2018, positive): “In the future, imaging of membrane-localized voltage sensors [51] or methods to elicit single spikes from individual neurons [52] may provide new ways to collect ground truth with higher throughput.”
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017, background): “Recent experimental technologies enable us to record from more neurons, at higher temporal precision, and for 452 much longer time periods than ever before [4, 8, 11], thereby simultaneously increasing the size and complexity of 453 datasets along three distinct modes.”