ArticleSTAR protocols2021
Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Experience reorganizes content-specific memory traces in macaques.Nature neuroscience · 2026Article
- Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies.Sensors (Basel, Switzerland) · 2024Review
- Dopamine neurons encode trial-by-trial subjective reward value in an auction-like task.bioRxiv : the preprint server for biology · 2024Article
- Article
- External globus pallidus input to the dorsal striatum regulates habitual seeking behavior in male mice.Nature communications · 2023Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learning model, the linear support vector machine. To unravel the role of single neurons in population responses and the structure of noise correlations, we use a multivariate decoding technique on time-averaged responses. For complete details on the use and execution of this protocol, please refer to Koren et al. (2020a).
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Registered trials
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