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Gabriel Loewinger
Gabriel Loewinger
Machine Learning Research Scientist at National Institute of Mental Health
Verified email at nih.gov - Homepage
Title
Cited by
Cited by
Year
Phasic mesolimbic dopamine release tracks reward seeking during expression of Pavlovian-to-instrumental transfer
KM Wassum, SB Ostlund, GC Loewinger, NT Maidment
Biological psychiatry 73 (8), 747-755, 2013
1322013
Dopamine D2 receptor signaling on iMSNs is required for initiation and vigor of learned actions
SM Augustin, GC Loewinger, TJ O’Neal, AV Kravitz, DM Lovinger
Neuropsychopharmacology 45 (12), 2087-2097, 2020
272020
Protocol for outcome evaluation of Ayahuasca-assisted addiction treatment: The case of takiwasi center
B Rush, O Marcus, S García, A Loizaga-Velder, G Loewinger, A Spitalier, ...
Frontiers in pharmacology 12, 659644, 2021
232021
Operant self-stimulation of thalamic terminals in the dorsomedial striatum is constrained by metabotropic glutamate receptor 2
KA Johnson, L Voyvodic, GC Loewinger, Y Mateo, DM Lovinger
Neuropsychopharmacology 45 (9), 1454-1462, 2020
202020
Methamphetamine-induced dopamine terminal deficits in the nucleus accumbens are exacerbated by reward-associated cues and attenuated by CB1 receptor antagonism
GC Loewinger, MV Beckert, HA Tejeda, JF Cheer
Neuropharmacology 62 (7), 2192-2201, 2012
192012
Using dopamine research to generate rational cannabinoid drug policy
GC Loewinger, EB Oleson, JF Cheer
Drug testing and analysis 5 (1), 22-26, 2013
142013
Hierachical Resampling for Bagging in Multi-Study Prediction with Applications to Human Neurochemical Sensing
G Loewinger, P Patil, KT Kishida, G Parmigiani
Annals of Applied Statistics 16 (4), 2145-2165, 2021
8*2021
Low knowledge and perceived hepatitis C risk despite high risk behaviour among injection drug users in Kathmandu, Nepal
G Loewinger, B Sharma, DK Karki, P Khatiwoda, S Kainee, KC Poudel
International Journal of Drug Policy 33, 75-82, 2016
72016
A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments
G Loewinger, E Cui, D Lovinger, F Pereira
bioRxiv, 2023
12023
Dissociable encoding of motivated behavior by parallel thalamo-striatal projections
S Beas, I Khan, C Gao, E McDonnald, A Bashford, S Rodriguez-Gonzalez, ...
bioRxiv, 2023
12023
Multi-Study Learning for Real-time Neurochemical Sensing in Humans using the “Study Strap Ensemble”
G Loewinger, P Patil, KT Kishida, G Parmigiani
bioRxiv, 856385, 2019
12019
Optimal ensemble construction for multistudy prediction with applications to mortality estimation
G Loewinger, RA Nunez, R Mazumder, G Parmigiani
Statistics in Medicine, 2024
2024
Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach
G Loewinger, K Behdin, KT Kishida, G Parmigiani, R Mazumder
arXiv preprint arXiv:2212.08697, 2022
2022
Surprise-induced enhancements in the associability of Pavlovian cues facilitate learning across behavior systems.
I Márquez, G Loewinger, JP Vargas, JC López, E Díaz, GR Esber
Behavioral neuroscience 136 (4), 285, 2022
2022
Statistical Learning Methods for Multi-Dataset Prediction
G Loewinger
Harvard University, 2022
2022
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
G Loewinger, RA Nunez, R Mazumder, G Parmigiani
arXiv preprint arXiv:2109.09164, 2021
2021
Surprise-Induced Enhancements in the Associability of Pavlovian Cues Facilitate Learning Across Behavior Systems/BRIEF COMMUNICATION
I Márquez, G Loewinger, JP Vargas, JC López, E Díaz, GR Esber
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Articles 1–17