Evidence map›Paper›PMID 20589094›Full record

ArticleFrontiers in neuroscience2010

New Perspectives on the Dialogue between Brains and Machines.

Ferdinando A Mussa-Ivaldi, Simon T Alford, Michela Chiappalone, Luciano Fadiga, Amir Karniel, Michael Kositsky, Emma Maggiolini, Stefano Panzeri, Vittorio Sanguineti, Marianna Semprini and 1 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Neural coding for effective rehabilitation.BioMed research international · 2014
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Virtual active touch using randomly patterned intracortical microstimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2012
    Article
  16. 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

11 authors.

Ferdinando A Mussa-IvaldiDepartment of Physiology, Northwestern University Chicago, IL, USA.
Simon T Alford
Michela Chiappalone
Luciano Fadiga
Amir Karniel
Michael Kositsky
Emma Maggiolini
Stefano Panzeri
Vittorio Sanguineti
Marianna Semprini
Alessandro Vato

Funding

Development of a Bidirectional Brain Machine InterfaceR01NS048845 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MILLER, LEE · 2005 to 2014
$6.7M
Motor Learning for the Control of an Assistive DeviceR21HD053608 · NICHD · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI MUSSA-IVALDI, FERDINANDO ALESSANDRO · 2007 to 2008
$397k
NICHD NIH HHS R21 HD053608NINDS NIH HHS R01 NS048845
6 · The paper itself

Abstract

Brain-machine interfaces (BMIs) are mostly investigated as a means to provide paralyzed people with new communication channels with the external world. However, the communication between brain and artificial devices also offers a unique opportunity to study the dynamical properties of neural systems. This review focuses on bidirectional interfaces, which operate in two ways by translating neural signals into input commands for the device and the output of the device into neural stimuli. We discuss how bidirectional BMIs help investigating neural information processing and how neural dynamics may participate in the control of external devices. In this respect, a bidirectional BMI can be regarded as a fancy combination of neural recording and stimulation apparatus, connected via an artificial body. The artificial body can be designed in virtually infinite ways in order to observe different aspects of neural dynamics and to approximate desired control policies.

Identifiers

PMID20589094
PMCPMC2920523

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.