Evidence map›Paper›PMID 36386884›Full record

ArticleSTAR protocols2022

Algebraic approach for subspace decomposition and clustering of neural activity.

Elie M Adam, Mriganka Sur

Abstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elie M AdamPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: eadam@mit.edu.
Mriganka SurPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: msur@mit.edu.

Funding

Astrocyte-neuron interactions in visual cortex circuitsR01EY028219 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2018 to 2021
$2.3M
Spatiotemporal dynamics of locus coeruleus circuits during learned behaviorR01MH126351 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SUR, MRIGANKA · 2021 to 2025
$2.1M
NEI NIH HHS R01 EY028219NIMH NIH HHS R01 MH126351
6 · The paper itself

Abstract

We developed an approach to decompose neuronal signals into disjoint components, corresponding to task- or event-based epochs. This protocol describes how to project behavioral templates onto a low-dimensional subspace of neuronal responses to derive neuronal templates, then how to decompose and cluster neuronal responses using these derived templates. We outline these steps on complementary datasets of calcium imaging and spiking activity. Our approach relies on fundamental, linear algebraic principles and is adaptive to the temporal structure of the neural data. For complete details on the use and execution of this protocol, please refer to Adam et al. (2022).

Indexed as

NeuronsCluster AnalysisBehaviorBioinformaticsCognitive NeuroscienceComputer sciencesNeuroscience

Identifiers

PMID36386884
PMCPMC9664015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.