ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Mirror Neuron Populations Represent Sequences of Behavioral Epochs During Both Execution and Observation.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Selective perturbation of mirror and non-mirror neurons in an in silico model of the action observation network.iScience · 2026Article
- Dynamic population coding of kinematic structure across executed and observed actions in primate premotor cortex.Science advances · 2026Article
- Benchmarking criteria to determine latent linear dimensionality in neural data.Scientific reports · 2026Article
- Action observation responses in macaque frontal cortex.Neuroimage. Reports · 2026Article
- Article
- Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation.bioRxiv : the preprint server for biology · 2025Article
- A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets.bioRxiv : the preprint server for biology · 2025Article
- Mirror Neurons in Monkey Frontal and Parietal Areas.Scientific data · 2025Article
- Population encoding of observed and actual somatosensations in the human posterior parietal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets.PloS one · 2025Article
- Article
- Motor cortex retains and reorients neural dynamics during motor imagery.Nature human behaviour · 2024Article
- A machine learning approach for real-time cortical state estimation.Journal of neural engineering · 2024Article
- Visual sensitivity at the service of action control in posterior parietal cortex.Frontiers in physiology · 2024Review
- Similar neural states, but dissimilar decoding patterns for motor control in parietal cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
- Non-shared coding of observed and executed actions prevails in macaque ventral premotor mirror neurons.eLife · 2023Article
- Review
- Engaging distributed cortical and cerebellar networks through motor execution, observation, and imagery.Frontiers in systems neuroscience · 2023Review
- Metastable dynamics of neural circuits and networks.Applied physics reviews · 2022Review
- Dedicated Representation of Others in the Macaque Frontal Cortex: From Action Monitoring and Prediction to Outcome Evaluation.Cerebral cortex (New York, N.Y. : 1991) · 2022Review
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3 authors.
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Abstract
Mirror neurons (MNs) have the distinguishing characteristic of modulating during both execution and observation of an action. Although most studies of MNs have focused on various features of the observed movement, MNs also may monitor the behavioral circumstances in which the movement is embedded, including time periods preceding and following the observed movement. Here, we recorded multiple MNs simultaneously from implanted electrode arrays as two male monkeys executed and observed a reach, grasp, and manipulate task involving different target objects. MNs were recorded from premotor cortex (PM-MNs) and primary motor cortex (M1-MNs). During execution trials, hidden Markov models (HMMs) applied to the activity of either PM-MN or M1-MN populations most often detected sequences of four hidden states, which we named according to the behavioral epoch during which each state began: initial, reaction, movement, and final. The hidden states of MN populations thus reflected not only the movement, but also three behavioral epochs during which no movement occurred. HMMs trained on execution trials could decode similar sequences of hidden states in observation trials, with complete hidden state sequences decoded more frequently from PM-MN populations than from M1-MN populations. Moreover, population trajectories projected in a 2D plane defined by execution trials were preserved in observation trials more for PM-MN than for M1-MN populations. These results suggest that MN populations represent entire behavioral sequences, including both movement and non-movement. PM-MN populations showed greater similarity than M1-MN populations in their representation of behavioral sequences during execution versus observation.
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