Evidence map›Paper›PMID 31978320›Full record

ArticleCell2020

All-Optical Electrophysiology Reveals the Role of Lateral Inhibition in Sensory Processing in Cortical Layer 1.

Linlin Z Fan, Simon Kheifets, Urs L Böhm, Hao Wu, Kiryl D Piatkevich, Michael E Xie, Vicente Parot, Yooree Ha, Kathryn E Evans, Edward S Boyden and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
13.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 163 citations in OpenAlex.

  1. Article
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  9. Presynaptic control of top-down signaling in neocortical layer 1.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
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  13. Review
  14. Article
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  17. Luminos: open-source software for bidirectional microscopy.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Linlin Z FanDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Simon KheifetsDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Urs L BöhmDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Hao WuDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Kiryl D PiatkevichMedia Lab and McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Michael E XieDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Vicente ParotDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Yooree HaDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Kathryn E EvansHarvard Medical School, Boston, MA, USA.
Edward S BoydenMedia Lab and McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Anne E TakesianHarvard Medical School, Boston, MA, USA; Massachusetts Eye and Ear Infirmary, Boston, MA, USA.
Adam E CohenDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. Electronic address: cohen@chemistry.harvard.edu.
Harvard University · USMassachusetts Institute of Technology · USHoward Hughes Medical Institute · USMassachusetts Eye and Ear Infirmary · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Brain-wide correlation of single-cell firing properties to patterns of gene expressionRF1MH117042 · NIMH · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2018 to 2018
$1.2M
Layer 1 Circuitry in Mouse Auditory CortexR21DC016991 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI TAKESIAN, ANNE E · 2018 to 2020
$510k
Howard Hughes Medical InstituteNIDCD NIH HHS R21 DC016991NIGMS NIH HHS T32 GM007753NIMH NIH HHS RF1 MH117042
6 · The paper itself

Abstract

Cortical layer 1 (L1) interneurons have been proposed as a hub for attentional modulation of underlying cortex, but the transformations that this circuit implements are not known. We combined genetically targeted voltage imaging with optogenetic activation and silencing to study the mechanisms underlying sensory processing in mouse barrel cortex L1. Whisker stimuli evoked precisely timed single spikes in L1 interneurons, followed by strong lateral inhibition. A mild aversive stimulus activated cholinergic inputs and evoked a bimodal distribution of spiking responses in L1. A simple conductance-based model that only contained lateral inhibition within L1 recapitulated the sensory responses and the winner-takes-all cholinergic responses, and the model correctly predicted that the network would function as a spatial and temporal high-pass filter for excitatory inputs. Our results demonstrate that all-optical electrophysiology can reveal basic principles of neural circuit function in vivo and suggest an intuitive picture for how L1 transforms sensory and modulatory inputs. VIDEO ABSTRACT.

Indexed as

Action PotentialsAnimalsCholinergic NeuronsElectrophysiologyEvoked Potentials, SomatosensoryFemaleHEK293 CellsHumansInterneuronsMaleMiceMice, Inbred C57BLMice, TransgenicNeural InhibitionOptical ImagingPatch-Clamp Techniquesacetylcholinebarrel cortexE/I balanceinhibitory optical electrophysiologylateral inhibitionlayer 1optical circuit mappingoptical electrophysiologywinner-takes-all dynamics

Identifiers

PMID31978320
PMCPMC7259440
OpenAlexW3002141543

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.