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Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems

PubMed(2024)10.52202/079017-1065Source: DataRank Database

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (26)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

David M. Zoltowski ORCID,Aditya Nair ORCID,David P. Anderson ORCID,Lea Duncker ORCID,Scott W. Linderman ORCID

Live enrichment

PubMed:39876935 OpenAlex:https://openalex.org/W4403622938

National Institutes of Health

Grant: 1U19NS113201-01

Towards a unified framework for dopamine signaling in the striatum

National Institutes of Health

Grant: 3R01NS130789-04S1

CRCNS: Deconstructing Dynamics of Motor Cortex in Freely Moving Behavior

National Institutes of Health

Grant: 1RF1MH133778-01

Unified, Scalable, and Reproducible Neurostatistical Software

National Institutes of Health

Grant: 1RF1NS131987-01

Deconstructing the sertonin system in the mouse brain

greenLicense: CC BY

repositoryhttps://arxiv.org/pdf/2408.03330

repositoryhttp://arxiv.org/abs/2408.03330

https://doi.org/10.52202/079017-1065

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39876935

Fields of Study

Gaussian Processes and Bayesian InferenceNeural dynamics and brain functionGene Regulatory Network Analysis0101 mathematics01 natural sciences

Keywords

Computer scienceInterpretabilityGaussian processHyperparameterLeverage (statistics)Dynamical systems theoryArtificial intelligenceNonlinear systemGaussianArtificial neural networkMachine learningAlgorithmPhysicsFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningQuantitative Biology - Neurons and CognitionFOS: Biological sciencesNeurons and Cognition (q-bio.NC)Machine Learning (stat.ML)Machine Learning (cs.LG)