Cited by 66Neuroscience and Neural EngineeringTactile and Sensory InteractionsEEG and Brain-Computer Interfaces

Active sensing of target location encoded by cortical microstimulation

Venkatraman, Subramaniam, Carmena, Jose M.·2011·IEEE Transactions on Neural Systems and Rehabilitation Engineering

Abstract

Cortical microstimulation has been proposed as a method to deliver sensory percepts to circumvent damaged sensory receptors or pathways. However, much of perception involves the active movement of sensory organs and the integration of information across sensory and motor modalities. The efficacy of cortical microstimulation in such an active sensing paradigm has not been demonstrated. We report a novel behavioral paradigm which delivers microstimulation in real-time based on a rat's movements and show that rats can perform sensorimotor integration with electrically delivered stimuli. Using a real-time whisker tracking system, we delivered microstimulation in barrel cortex of actively whisking rats when their whisker crossed a particular spatial location which defined the target. Rats learned to integrate microstimulation cues with their knowledge of whisker position to infer target location along the rostro-caudal axis in less than 200 ms. In a separate experiment, we found that rats trained to respond to cortical microstimulation responded similarly to whisker deflections while ignoring auditory distracters, suggesting that barrel cortex stimulation may be perceptually similar to somatosensory stimuli. This ability to deliver sensory percepts using cortical microstimulation in an active sensing system might have significant implications for the development of sensorimotor neuroprostheses.

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Crossref · 10.1109/tnsre.2011.2117441

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  • In rodents, ICMS to barrel cortex using micro-wires generated artificial tactile percepts that allowed navigation around a virtual target on screen.

    “In one study on rodents, the implementation of a biomimetic approach was tested by applying ICMS to the barrel cortex using micro-wires for the generation of artificial tactile percepts to navigate around a virtual target on the screen (Venkatraman and Carmena, 2011; O'Connor et al., 2013).”

    From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Venkatraman and Carmena, 2011

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References 49 · Cited by 66

Authors
Venkatraman, S., & Carmena, J. M.
Affiliations
  • Qualcomm (United States) (US)
  • University of California, Berkeley (US)
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2011-06
Volume
19
Issue
3
Pages
317-324
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W2034943012
Cited by
66
References
49
Citations by year
2026: 1 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 4 · 2018: 1 · 2017: 2 · 2016: 8 · 2015: 5 · 2014: 11 · 2013: 11 · 2012: 7
FWCI
4.36
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
U.S. Department of Agriculture
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
active sensing, sensorimotor integration, barrel cortex, whisker deflection, sensory substitution, rat behavior
MeSH terms
Acoustic Stimulation, Animals, Behavior, Animal, Cerebral Cortex, Computer Systems, Electric Stimulation, Female, Microelectrodes, Movement, Neural Pathways, Physical Stimulation, Prosthesis Design, Sensory Receptor Cells, Somatosensory Cortex, Space Perception, Vibrissae, Rats, Sprague-Dawley, Head Movements, Rats

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