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Artificial spatiotemporal touch inputs reveal complementary decoding in neocortical neurons

Oddo, Calogero M.; Mazzoni, Alberto; Spanne, Anton LU ; Enander, Jonas M D LU ; Mogensen, Hannes LU ; Bengtsson, Fredrik LU ; Camboni, Domenico; Micera, Silvestro and Jörntell, Henrik LU (2017) In Scientific Reports 8.
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... (More)

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.

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author
organization
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type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
8
publisher
Nature Publishing Group
external identifiers
  • scopus:85017117661
  • wos:000398237000001
ISSN
2045-2322
DOI
10.1038/srep45898
language
English
LU publication?
yes
id
51f65927-9e9f-447f-8991-947b39703ab1
date added to LUP
2017-04-27 14:12:55
date last changed
2018-01-07 12:01:04
@article{51f65927-9e9f-447f-8991-947b39703ab1,
  abstract     = {<p>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.</p>},
  articleno    = {45898},
  author       = {Oddo, Calogero M. and Mazzoni, Alberto and Spanne, Anton and Enander, Jonas M D and Mogensen, Hannes and Bengtsson, Fredrik and Camboni, Domenico and Micera, Silvestro and Jörntell, Henrik},
  issn         = {2045-2322},
  language     = {eng},
  month        = {04},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {Artificial spatiotemporal touch inputs reveal complementary decoding in neocortical neurons},
  url          = {http://dx.doi.org/10.1038/srep45898},
  volume       = {8},
  year         = {2017},
}