Kim T. Blackwell
Affiliations: | Neuroscience | George Mason University, Washington, DC |
Area:
Neuroscience Biology, BiochemistryGoogle:
"Kim Blackwell"Mean distance: 35622
Children
Sign in to add trainee| Keun-Hang Yang | grad student | 2000 | George Mason |
| Myungsook Kim | grad student | 2010 | George Mason |
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Publications
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| Jędrzejewska-Szmek J, Dorman DB, Blackwell KT. (2023) Making time and space for calcium control of neuron activity. Current Opinion in Neurobiology. 83: 102804 |
| Dorman DB, Blackwell KT. (2022) Synaptic Plasticity Is Predicted by Spatiotemporal Firing Rate Patterns and Robust to In Vivo-like Variability. Biomolecules. 12 |
| Miningou Zobon NT, Jędrzejewska-Szmek J, Blackwell KT. (2021) Temporal pattern and synergy influence activity of ERK signaling pathways during L-LTP induction. Elife. 10 |
| Mäki-Marttunen T, Iannella N, Edwards AG, et al. (2020) A unified computational model for cortical post-synaptic plasticity. Elife. 9 |
| Miningou N, Blackwell KT. (2020) The road to ERK activation: Do neurons take alternate routes? Cellular Signalling. 109541 |
| Mäki-Marttunen T, Iannella N, Edwards AG, et al. (2020) Author response: A unified computational model for cortical post-synaptic plasticity Elife |
| Jędrzejewska-Szmek J, Blackwell KT. (2019) From membrane receptors to protein synthesis and actin cytoskeleton: Mechanisms underlying long lasting forms of synaptic plasticity. Seminars in Cell & Developmental Biology |
| Dorman DB, Jędrzejewska-Szmek J, Blackwell KT. (2018) Inhibition enhances spatially-specific calcium encoding of synaptic input patterns in a biologically constrained model. Elife. 7 |
| Jȩdrzejewski-Szmek Z, Abrahao KP, Jȩdrzejewska-Szmek J, et al. (2018) Parameter Optimization Using Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. Frontiers in Neuroinformatics. 12: 47 |
| Foncelle A, Mendes A, Jędrzejewska-Szmek J, et al. (2018) Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models. Frontiers in Computational Neuroscience. 12: 49 |