Evidence map›Paper›PMID 19408009›Full record

ArticleBiological cybernetics2009

Optimal motor control may mask sensory dynamics.

Sean G Carver, Tim Kiemel, Noah J Cowan, John J Jeka

Abstract read
In one paragraph

Article in Biological cybernetics, 2009. 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

4 authors.

Sean G CarverDepartment of Psychological and Brain Sciences, The Johns Hopkins University, Baltimore, MD 21218, USA. sean.carver@jhu.edu
Tim Kiemel
Noah J Cowan
John J Jeka

Funding

Multisensory Integration and Human Postural ControlR01NS035070 · NINDS · UNIV OF MARYLAND, COLLEGE PARK · PI JEKA, JOHN JOSEPH · 2002 to 2010
$2.1M
Mechanistic model of multisensory postural controlR01NS046065 · NINDS · UNIVERSITY OF MARYLAND COLLEGE PK CAMPUS · PI JEKA, JOHN JOSEPH · 2002 to 2005
$392k
NINDS NIH HHS 2R01 NS35070NINDS NIH HHS R01 NS035070NINDS NIH HHS R01 NS046065
6 · The paper itself

Abstract

Properties of neural controllers for closed-loop sensorimotor behavior can be inferred with system identification. Under the standard paradigm, the closed-loop system is perturbed (input), measurements are taken (output), and the relationship between input and output reveals features of the system under study. Here we show that under common assumptions made about such systems (e.g. the system implements optimal control with a penalty on mechanical, but not sensory, states) important aspects of the neural controller (its zeros mask the modes of the sensors) remain hidden from standard system identification techniques. Only by perturbing or measuring the closed-loop system "between" the sensor and the control can these features be exposed with closed-loop system identification methods; while uncommon, there exist noninvasive techniques such as galvanic vestibular stimulation that perturb between sensor and controller in this way.

Indexed as

Nervous System Physiological PhenomenaNeural Networks, ComputerNonlinear DynamicsSignal Processing, Computer-AssistedAnimalsHumans

Identifiers

PMID19408009
PMCPMC2778031

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.