Evidence map›Paper›PMID 32187000›Full record

ArticleNeural computation2020

The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models.

Michael C Burkhart, David M Brandman, Brian Franco, Leigh R Hochberg, Matthew T Harrison

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Neural computation, 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

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

5 authors.

Michael C BurkhartDivision of Applied Mathematics, Brown University, Providence, RI 02912, U.S.A. michael_burkhart@alumni.brown.edu.
David M BrandmanDepartment of Neuroscience, Brown University, Providence, RI 02912, U.S.A., and Department of Surgery (Neurosurgery), Dalhousie University, Halifax, NS, B3H 4R2, Canada david_brandman@alumni.brown.edu.
Brian FrancoCenter for Neurotechnology and Neurorecovery, Neurology, Massachusetts General Hospital, Boston, MA 02114, U.S.A. brfranco34@gmail.com.
Leigh R HochbergCenter for Neurotechnology and Neurorecovery, Neurology, Massachusetts General Hospital, Boston, MA 02114, U.S.A.; School of Engineering and Carney Institute for Brain Science, Brown University, Providence, RI 02912, U.S.A.; Neurology, Harvard Medical School, Boston, MA 02115, U.S.A.; and VA RR&D Center for Neurorestoration and Neurotechnology, Providence Veterans Affairs Medical Center, Providence, RI 02908, U.S.A. leigh_hochberg@brown.edu.
Matthew T HarrisonDivision of Applied Mathematics, Brown University, Providence, RI 02912, U.S.A. matthew_harrison@brown.edu.

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI SANES, JEROME N · 2013 to 2022
$22.9M
Restoring Communication with an Intracortical Neural Interface SystemR01DC009899 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R · 2009 to 2017
$7.0M
CRNCS: Identification and Plasticity of Neuronal MicrocircuitsR01MH102840 · NIMH · CITY COLLEGE OF NEW YORK · PI AMARASINGHAM, ASOHAN · 2013 to 2015
$1.2M
CIHR 336092NIDCD NIH HHS R01 DC009899NIGMS NIH HHS P20 GM103645NIMH NIH HHS R01 MH102840RRD VA B6453-RRRD VA I01 RX002295RRD VA I50 RX002864
6 · The paper itself

Abstract

The Kalman filter provides a simple and efficient algorithm to compute the posterior distribution for state-space models where both the latent state and measurement models are linear and gaussian. Extensions to the Kalman filter, including the extended and unscented Kalman filters, incorporate linearizations for models where the observation model

Indexed as

AlgorithmsBayes TheoremBrain-Computer InterfacesNonlinear DynamicsHumansLearningModels, Biological

Identifiers

PMID32187000
PMCPMC8259355

What OpenQuestion holds

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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.