ArticleNeuron2017
Rapid Integration of Artificial Sensory Feedback during Operant Conditioning of Motor Cortex Neurons.
Article in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Real-time closed-loop feedback system for mouse mesoscale cortical signal and movement control.eLife · 2026Article
- Spike inference from calcium imaging data acquired with GCaMP8 indicators.Nature methods · 2026Article
- Functional reorganization of motor cortex connectivity during learning.bioRxiv : the preprint server for biology · 2026Article
- Integration of learned artificial sensation with vision during freely moving navigation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Technical development of two-photon optogenetic stimulation and its potential application to brain-machine interfaces.Neurophotonics · 2026Review
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Motor Cortical Output Integrates Distorted Proprioceptive Feedback.bioRxiv : the preprint server for biology · 2025Article
- A real-time all-optical interface for dynamic perturbation of neural activity during behavior.Cell reports methods · 2025Article
- Bidirectional optimization of firing rate in a mouse neuronal brain-machine interface.Biology letters · 2025Article
- Multimodal dataset linking wide-field calcium imaging to behavior changes in operant lever-pull task in mice.Scientific data · 2025Article
- Article
- Dynamics of directional motor tuning in the primate premotor and primary motor cortices during sensorimotor learning.Nature communications · 2024Article
- Closed-loop experiments and brain machine interfaces with multiphoton microscopy.Neurophotonics · 2024Review
- Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III.Nature communications · 2024Article
- Shining Light in Mechanobiology: Optical Tweezers, Scissors, and Beyond.ACS photonics · 2024Review
- Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback.Science advances · 2023Article
- Neural Plasticity in Sensorimotor Brain-Machine Interfaces.Annual review of biomedical engineering · 2023Review
- Thalamocortical loops as temporal demodulators across senses.Communications biology · 2023Review
- High-precision monitoring of and feedback control over drug concentrations in the brains of freely moving rats.Science advances · 2023Article
- Peripersonal encoding of forelimb proprioception in the mouse somatosensory cortex.Nature communications · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuronal motor commands, whether generating real or neuroprosthetic movements, are shaped by ongoing sensory feedback from the displacement being produced. Here we asked if cortical stimulation could provide artificial feedback during operant conditioning of cortical neurons. Simultaneous two-photon imaging and real-time optogenetic stimulation were used to train mice to activate a single neuron in motor cortex (M1), while continuous feedback of its activity level was provided by proportionally stimulating somatosensory cortex. This artificial signal was necessary to rapidly learn to increase the conditioned activity, detect correct performance, and maintain the learned behavior. Population imaging in M1 revealed that learning-related activity changes are observed in the conditioned cell only, which highlights the functional potential of individual neurons in the neocortex. Our findings demonstrate the capacity of animals to use an artificially induced cortical channel in a behaviorally relevant way and reveal the remarkable speed and specificity at which this can occur.
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Registered trials
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.