Tavita Garrett - Publications

Affiliations: 
2013-2015 Biomedical and Pharmaceutical Sciences University of Montana, Missoula, MT 
 2015- Max Planck Florida Institute for Neuroscience 

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Hecht RM, Shi Q, Garrett TR, Sivyer B, Morgans C. Split Retina as an Improved Flatmount Preparation for Studying Inner Nuclear Layer Neurons in Vertebrate Retina. Journal of Visualized Experiments : Jove. PMID 38314798 DOI: 10.3791/65757  0.684
2023 Berry MH, Moldavan M, Garrett T, Meadows M, Cravetchi O, White E, Leffler J, von Gersdorff H, Wright KM, Allen CN, Sivyer B. A melanopsin ganglion cell subtype forms a dorsal retinal mosaic projecting to the supraoptic nucleus. Nature Communications. 14: 1492. PMID 36932080 DOI: 10.1038/s41467-023-36955-6  0.646
2021 Yi F, Garrett T, Deisseroth K, Haario H, Stone E, Lawrence JJ. Septohippocampal transmission from parvalbumin-positive neurons features rapid recovery from synaptic depression. Scientific Reports. 11: 2117. PMID 33483520 DOI: 10.1038/s41598-020-80245-w  0.541
2020 Sekulić V, Yi F, Garrett T, Guet-McCreight A, Lawrence JJ, Skinner FK. Integration of Within-Cell Experimental Data With Multi-Compartmental Modeling Predicts H-Channel Densities and Distributions in Hippocampal OLM Cells. Frontiers in Cellular Neuroscience. 14: 277. PMID 33093823 DOI: 10.3389/fncel.2020.00277  0.673
2020 Sekulić V, Yi F, Garrett T, Guet-McCreight A, Lawrence JJ, Skinner FK. Integration of Within-Cell Experimental Data With Multi-Compartmental Modeling Predicts H-Channel Densities and Distributions in Hippocampal OLM Cells Frontiers in Cellular Neuroscience. 14. DOI: 10.3389/Fncel.2020.00277  0.66
2018 Smirnov MS, Garrett TR, Yasuda R. An open-source tool for analysis and automatic identification of dendritic spines using machine learning. Plos One. 13: e0199589. PMID 29975722 DOI: 10.1371/Journal.Pone.0199589  0.509
2017 Smirnov MS, Evans PR, Garrett TR, Yan L, Yasuda R. Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines. Plos One. 12: e0170586. PMID 28114380 DOI: 10.1371/Journal.Pone.0170586  0.501
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