Evidence map›Paper›PMID 33242414›Full record

ArticleCell2020

Efficient Inference in Structured Spaces.

Honi Sanders, Matthew Wilson, Mirko Klukas, Sugandha Sharma, Ila Fiete

Abstract readComment
PubMed Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Honi SandersDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA; Center for Brains Minds and Machines, MIT, Cambridge, MA, USA. Electronic address: honi@mit.edu.
Matthew WilsonDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA.
Mirko KlukasDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.
Sugandha SharmaDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.
Ila FieteDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA; McGovern Institute for Brain Research, MIT, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whittington et al. demonstrate how network architectures defined in a spatial context may be useful for inference on different types of relational knowledge. These architectures allow for learning the structure of the environment and then transferring that knowledge to allow prediction of novel transitions.

Indexed as

LearningMemoryHippocampus

Identifiers

PMID33242414

What OpenQuestion holds

Textmetadata
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.