Robert A. McDougal

Yale University — United States

Neuroscience · Life Sciences

18h-index1.6kcitations86works2.02yr avg
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Research Topics

Neural dynamics and brain function(39), Gene Regulatory Network Analysis(24), Cell Image Analysis Techniques(19), Functional Brain Connectivity Studies(11), Neuroscience and Neuropharmacology Research(10)

Publications86 total

Local homeostatic scaling supports stable rate propagation under noise and heterogeneity
2025Open Access
Computer models predict differential dendritic vulnerability with ischemia and spreading depression
2025Open Access
Neuromechanical Simulation with NEURON and MuJoCo
2025Open Access
Corrigendum: Neurological history both twinned and queried by generative artificial intelligence
Frontiers in Medicine·2025Open Access
Neurological History Both Twinned and Queried by Generative Artificial Intelligence (P1-2.006)
Neurology·2025· 1 cited
Stroke Etiology Prediction Utilizing GPT-4 (P9-14.002)
Neurology·2025
Localizing Lesions in the Peripheral Nervous System using Generative Artificial Intelligence (P1-2.009)
Neurology·2025
Imputation of missing aggregate EHR audit log data across individual and multiple organizations
Journal of Biomedical Informatics·2025
Neurological history both twinned and queried by generative artificial intelligence
Frontiers in Medicine·2025· 2 citedOpen Access
Leveraging Generative Artificial Intelligence in Diagnosis of Thrombotic Microangiopathies: Focus on Thrombotic Thrombocytopenic Purpura
Blood·2024
Chemical entity normalization for successful translational development of Alzheimer’s disease and dementia therapeutics
Journal of Biomedical Semantics·2024· 1 citedOpen Access
Automating literature screening and curation with applications to computational neuroscience
Journal of the American Medical Informatics Association·2024· 3 citedOpen Access
Large Language Model (GPT-4) Accurately Localizes Stroke Lesions (P8-4.002)
Neurology·2024· 3 cited
GPT-4 Performance for Neurologic Localization
Neurology Clinical Practice·2024· 18 citedOpen Access
Automating literature screening and curation with applications to computational neuroscience
2023Open Access
Reproducibility of biophysical in silico neuron states and spikes from event-based partial histories
PLoS Computational Biology·2023Open Access
Identifying Game-Based Digital Biomarkers of Cognitive Risk for Adolescent Substance Misuse: Protocol for a Proof-of-Concept Study
JMIR Research Protocols·2023· 1 citedOpen Access
SUBCELLULAR TO TISSUE SCALE MODELING OF ISCHEMIA AND SPREADING DEPOLARIZATION
IBRO Neuroscience Reports·2023Open Access
Tutorial: using NEURON for neuromechanical simulations
Frontiers in Computational Neuroscience·2023· 2 citedOpen Access
A pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures
BMC Bioinformatics·2023· 6 citedOpen Access
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Frequent Co-authors

William W. Lytton(26), Michael L. Hines(25), Samuel A. Neymotin(9), Adam J. H. Newton(9), Gordon M. Shepherd(8), Salvador Durá-Bernal(8), Carl Tropper(7), Padraig Gleeson(6), Nicholas T. Carnevale(6), Zhongwei Lin(6), Matteo Cantarelli(5), Adrián Quintana(5), Mohammand Nazrul Ishlam Patoary(5), Thomas M. Morse(4), Ted Carnevale(3), Luis Marenco(3), Benjamin A. Suter(3), Facundo Rodriguez(3), David Jacob Kedziora(3), George L. Chadderdon(3)