ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015
Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 83 citations in OpenAlex.
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- Reward influences movement vigor through multiple motor cortical mechanisms.bioRxiv : the preprint server for biology · 2025Article
- Reward signals in the motor cortex: from biology to neurotechnology.Nature communications · 2025Review
- A neural basis of choking under pressure.Neuron · 2024Article
- Neural representation and modulation of volitional motivation in response to escalating efforts.The Journal of physiology · 2023Article
- A multisynaptic pathway from the ventral midbrain toward spinal motoneurons in monkeys.The Journal of physiology · 2022Article
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- Neural Decoders Using Reinforcement Learning in Brain Machine Interfaces: A Technical Review.Frontiers in systems neuroscience · 2022Review
- Normalization by valence and motivational intensity in the sensorimotor cortices (PMd, M1, and S1).Scientific reports · 2021Article
- Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials.Communications biology · 2021Article
- Cortical preparatory activity during motor learning reflects visuomotor retention deficits after punishment feedback.Experimental brain research · 2021Article
- Neuronal Activity in the Premotor Cortex of Monkeys Reflects Both Cue Salience and Motivation for Action Generation and Inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Monkeys exhibit a paradoxical decrease in performance in high-stakes scenarios.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Mirror neurons are modulated by grip force and reward expectation in the sensorimotor cortices (S1, M1, PMd, PMv).Scientific reports · 2021Article
- Central Thalamic-Medial Prefrontal Control of Adaptive Responding in the Rat: Many Players in the Chamber.Frontiers in behavioral neuroscience · 2021Article
- Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation.Frontiers in human neuroscience · 2021Article
- Motor cortex modulation and reward in children with attention-deficit/hyperactivity disorder.Brain communications · 2021Article
- Reinforcement Learning Based Fast Self-Recalibrating Decoder for Intracortical Brain-Machine Interface.Sensors (Basel, Switzerland) · 2020Article
- Basal ganglia role in learning rewarded actions and executing previously learned choices: Healthy and diseased states.PloS one · 2020Article
- Noise-Correlation Is Modulated by Reward Expectation in the Primary Motor Cortex Bilaterally During Manual and Observational Tasks in Primates.Frontiers in behavioral neuroscience · 2020Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can emulate changes seen in the primary motor cortex during learning. However, these simulations rely on the existence of a reward-like signal in the primary sensorimotor cortex. Reward modulation of the primary sensorimotor cortex has yet to be characterized at the level of neural units. Here we demonstrate that single units/multiunits and local field potentials in the primary motor (M1) cortex of nonhuman primates (Macaca radiata) are modulated by reward expectation during reaching movements and that this modulation is present even while subjects passively view cursor motions that are predictive of either reward or nonreward. After establishing this reward modulation, we set out to determine whether we could correctly classify rewarding versus nonrewarding trials, on a moment-to-moment basis. This reward information could then be used in collaboration with reinforcement learning principles toward an autonomous brain-machine interface. The autonomous brain-machine interface would use M1 for both decoding movement intention and extraction of reward expectation information as evaluative feedback, which would then update the decoding algorithm as necessary. In the work presented here, we show that this, in theory, is possible.
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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.