Evidence map›Paper›PMID 28374841›Full record

ArticleScientific reports2017

Artificial spatiotemporal touch inputs reveal complementary decoding in neocortical neurons.

Calogero M Oddo, Alberto Mazzoni, Anton Spanne, Jonas M D Enander, Hannes Mogensen, Fredrik Bengtsson, Domenico Camboni, Silvestro Micera, Henrik Jörntell

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Ubiquitous Neocortical Decoding of Tactile Input Patterns.Frontiers in cellular neuroscience · 2019
    Article
  18. Article
  19. Bilateral Tactile Input Patterns Decoded at Comparable Levels But Different Time Scales in Neocortical Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  20. 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

9 authors.

Calogero M OddoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Alberto MazzoniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Anton SpanneNeural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.
Jonas M D EnanderNeural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.
Hannes MogensenNeural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.
Fredrik BengtssonNeural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.
Domenico CamboniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Silvestro MiceraThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Henrik JörntellNeural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigations of the mechanisms of touch perception and decoding has been hampered by difficulties in achieving invariant patterns of skin sensor activation. To obtain reproducible spatiotemporal patterns of activation of sensory afferents, we used an artificial fingertip equipped with an array of neuromorphic sensors. The artificial fingertip was used to transduce real-world haptic stimuli into spatiotemporal patterns of spikes. These spike patterns were delivered to the skin afferents of the second digit of rats via an array of stimulation electrodes. Combined with low-noise intra- and extracellular recordings from neocortical neurons in vivo, this approach provided a previously inaccessible high resolution analysis of the representation of tactile information in the neocortical neuronal circuitry. The results indicate high information content in individual neurons and reveal multiple novel neuronal tactile coding features such as heterogeneous and complementary spatiotemporal input selectivity also between neighboring neurons. Such neuronal heterogeneity and complementariness can potentially support a very high decoding capacity in a limited population of neurons. Our results also indicate a potential neuroprosthetic approach to communicate with the brain at a very high resolution and provide a potential novel solution for evaluating the degree or state of neurological disease in animal models.

Indexed as

Action PotentialsAnimalsFingersHumansMechanoreceptorsModels, AnimalNeocortexNeuronsPhysical StimulationRatsSkin Physiological PhenomenaTouch Perception

Identifiers

PMID28374841
PMCPMC5379202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.