Harel Z. Shouval
Affiliations: | 1994-2003 | Brown University, Providence, RI | |
| 2003- | University of Texas Medical School at Houston, Houston, TX, United States |
Area:
Learning and memory, synaptic plasticity, mechanisms of timing, computational neuroscienceWebsite:
https://med.uth.edu/nba/faculty/harel-shouval-phd/Google:
"Harel Z. Shouval"Bio:
https://med.uth.edu/nba/faculty-labs/shouval-lab/
https://eceweb.rice.edu/Content.aspx%3Fid%3D4294967377
https://med.uth.edu/nba/wp-content/uploads/sites/29/2017/07/Shouval-Harel_CV_2016_Long.pdf
https://scholar.google.com/citations?user=RLEOhRAAAAAJ&hl=en
Mean distance: 106866
Parents
Sign in to add mentor| Eytan Domany | grad student | 1987-1990 | Weizmann Institute (Chemistry Tree) | |
| (M.Sc. in Physics) | ||||
| Leon N. Cooper | grad student | 1990-1994 | Brown | |
| (Formation and Organization of Receptive Fields, With an Input Environment Composed of Natural Scenes) | ||||
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Publications
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| Shouval HZ, Flores-Obando RE, Sacktor TC. (2024) Maintenance of synaptic plasticity by negative-feedback of synaptic protein elimination: Dynamic modeling of KIBRA-PKMζ interactions in LTP and memory. Biorxiv : the Preprint Server For Biology |
| Huertas MA, Newton AJH, McDougal RA, et al. (2022) Conditions for synaptic specificity during the maintenance phase of synaptic plasticity. Eneuro |
| Cone I, Shouval HZ. (2021) Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis. Frontiers in Computational Neuroscience. 15: 640235 |
| Shouval HZ. (2020) Decision letter: A unified computational model for cortical post-synaptic plasticity Elife |
| Huertas MA, Schwettmann SE, Shouval HZ. (2016) The Role of Multiple Neuromodulators in Reinforcement Learning That Is Based on Competition between Eligibility Traces. Frontiers in Synaptic Neuroscience. 8: 37 |
| He K, Huertas M, Hong SZ, et al. (2015) Distinct Eligibility Traces for LTP and LTD in Cortical Synapses. Neuron. 88: 528-38 |
| Huertas MA, Hussain Shuler MG, Shouval HZ. (2015) A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 12659-72 |
| Veliz-Cuba A, Shouval HZ, Josić K, et al. (2015) Networks that learn the precise timing of event sequences. Journal of Computational Neuroscience |
| Jalil SJ, Sacktor TC, Shouval HZ. (2015) Atypical PKCs in memory maintenance: the roles of feedback and redundancy. Learning & Memory (Cold Spring Harbor, N.Y.). 22: 344-53 |
| Namboodiri VM, Huertas MA, Monk KJ, et al. (2015) Visually cued action timing in the primary visual cortex. Neuron. 86: 319-30 |