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ORCIDKim T. Blackwell
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- affiliation: George Mason University, USA
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2020 – today
- 2023
[j32]Kim T. Blackwell
, Kenji Doya:
Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks. PLoS Comput. Biol. 19(8) (2023)- 2021
- [j31]Jonathan D. Reed, Kim T. Blackwell:
Prediction of Neural Diameter From Morphology to Enable Accurate Simulation. Frontiers Neuroinformatics 15: 666695 (2021)
2010 – 2019
- 2018
- [j30]Alexandre Foncelle, Alexandre Mendes, Joanna Jedrzejewska-Szmek, Silvana Valtcheva, Hugues Berry, Kim T. Blackwell, Laurent Venance:
Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models. Frontiers Comput. Neurosci. 12: 49 (2018) - [j29]Zbigniew Jedrzejewski-Szmek, Karina P. Abrahao, Joanna Jedrzejewska-Szmek, David M. Lovinger, Kim T. Blackwell:
Parameter Optimization Using Covariance Matrix Adaptation - Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes. Frontiers Neuroinformatics 12: 47 (2018) - 2017
- [j28]Joanna Jedrzejewska-Szmek, Vincent Luczak, Ted Abel, Kim T. Blackwell:
β-adrenergic signaling broadly contributes to LTP induction. PLoS Comput. Biol. 13(7) (2017) - 2016
- [j27]Andrew Chay, Ilaria Zamparo, Andreas Koschinski, Manuela Zaccolo, Kim T. Blackwell:
Control of βAR- and N-methyl-D-aspartate (NMDA) Receptor-Dependent cAMP Dynamics in Hippocampal Neurons. PLoS Comput. Biol. 12(2) (2016) - 2014
- [r8]Kim T. Blackwell:
Biochemical Signaling Pathways and Diffusion: Overview. Encyclopedia of Computational Neuroscience 2014 - [r7]Kim T. Blackwell:
Calcium Pumps, Models of. Encyclopedia of Computational Neuroscience 2014 - [r6]Kim T. Blackwell:
Modeling of Enzyme Kinetics. Encyclopedia of Computational Neuroscience 2014 - [r5]Kim T. Blackwell:
Particle-Based Stochastic Simulators. Encyclopedia of Computational Neuroscience 2014 - [r4]Kim T. Blackwell:
Protein Kinase C, Models of. Encyclopedia of Computational Neuroscience 2014 - [r3]Kim T. Blackwell, Sriraman Damodaran, Rebekah C. Evans:
Striatal Models, Cellular Detail. Encyclopedia of Computational Neuroscience 2014 - [r2]Kim T. Blackwell, Joanna Jedrzejewska-Szmek:
Protein Kinase A, Models of. Encyclopedia of Computational Neuroscience 2014 - [r1]Wonryull Koh, Kim T. Blackwell:
Stochastic Simulators. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j26]BoHung Kim, Sarah L. Hawes, Fawad Gillani, Lane J. Wallace, Kim T. Blackwell:
Signaling Pathways Involved in Striatal Synaptic Plasticity are Sensitive to Temporal Pattern and Exhibit Spatial Specificity. PLoS Comput. Biol. 9(3) (2013) - 2012
- [j25]Rodrigo Freire Oliveira, Myungsook Kim, Kim T. Blackwell:
Subcellular Location of PKA Controls Striatal Plasticity: Stochastic Simulations in Spiny Dendrites. PLoS Comput. Biol. 8(2) (2012) - [j24]Rebekah C. Evans, Teresa Morera-Herreras, Yihui Cui, Kai Du, Tom Sheehan, Jeanette Hellgren Kotaleski, Laurent Venance, Kim T. Blackwell:
The Effects of NMDA Subunit Composition on Calcium Influx and Spike Timing-Dependent Plasticity in Striatal Medium Spiny Neurons. PLoS Comput. Biol. 8(4) (2012) - 2011
- [j23]Myungsook Kim, Alan Jung Park, Robbert Havekes, Andrew Chay, Leonardo Antonio Guercio, Rodrigo Freire Oliveira, Ted Abel, Kim T. Blackwell:
Colocalization of Protein Kinase A with Adenylyl Cyclase Enhances Protein Kinase A Activity during Induction of Long-Lasting Long-Term-Potentiation. PLoS Comput. Biol. 7(6) (2011) - 2010
- [j22]Tiina Manninen, Katri Hituri, Jeanette Hellgren Kotaleski, Kim T. Blackwell, Marja-Leena Linne:
Postsynaptic Signal Transduction Models for Long-Term Potentiation and Depression. Frontiers Comput. Neurosci. 4: 152 (2010) - [j21]Myungsook Kim, Ted Huang, Ted Abel, Kim T. Blackwell:
Temporal Sensitivity of Protein Kinase A Activation in Late-Phase Long Term Potentiation. PLoS Comput. Biol. 6(2) (2010)
2000 – 2009
- 2008
- [j20]Kim T. Blackwell, Joseph Farley:
Hermissenda. Scholarpedia 3(7): 4090 (2008) - 2006
- [j19]Maria Lindskog, Myungsook Kim, Martin Wikström, Kim T. Blackwell, Jeanette Hellgren Kotaleski:
Transient Calcium and Dopamine Increase PKA Activity and DARPP-32 Phosphorylation. PLoS Comput. Biol. 2(9) (2006) - 2005
- [j18]Jeanette Hellgren Kotaleski, Dietmar Plenz, Kim T. Blackwell:
The role of background synaptic noise in striatal fast spiking interneurons. Neurocomputing 65-66: 727-732 (2005) - [j17]Kim T. Blackwell:
A new era in computational neuroscience. Neuroinformatics 3(2): 163-166 (2005) - 2004
- [j16]Kim T. Blackwell:
Paired Turbulence and Light do not Produce a Supralinear Calcium Increase in Hermissenda. J. Comput. Neurosci. 17(1): 81-99 (2004) - 2002
- [j15]Jeanette Hellgren Kotaleski, Kim T. Blackwell:
Sensitivity to interstimulus interval due to calcium interactions in the Purkinje cell spines. Neurocomputing 44-46: 13-18 (2002) - 2001
- [j14]Kim T. Blackwell:
Propagation of calcium waves in the Hermissenda type B photoreceptor. Neurocomputing 38-40: 1-7 (2001) - [j13]Keun-Hang Yang, Jeanette Hellgren Kotaleski, Kim T. Blackwell:
The role of protein kinase C in the biochemical pathways of classical conditioning. Neurocomputing 38-40: 79-85 (2001) - 2000
- [j12]Kim T. Blackwell:
Characterization of the light-induced currents in Hermissenda. Neurocomputing 32-33: 45-49 (2000) - [j11]Kim T. Blackwell:
Evidence for a Distinct Light-Induced Calcium-Dependent Potassium Current in Hermissenda Crassicornis. J. Comput. Neurosci. 9(2): 149-170 (2000)
1990 – 1999
- 1999
- [j10]Kim T. Blackwell:
Dynamics of the light-induced current in Hermissenda. Neurocomputing 26-27: 61-67 (1999) - [j9]Jeffrey L. Krichmar, Kim T. Blackwell, Garth S. Barbour, Alexander B. Golovan, Thomas P. Vogl:
A solution to the feature correspondence problem inspired by visual scanpaths. Neurocomputing 26-27: 769-778 (1999) - 1998
- [j8]Michael A. Brown, Kim T. Blackwell, H. G. Khalak, Garth S. Barbour, Thomas P. Vogl:
Multi-Scale Edge Detection And Feature Binding: An Integrated Approach. Pattern Recognit. 31(10): 1479-1490 (1998) - [c1]Kim T. Blackwell, Keun-Hang Yang:
Analog Pattern Matching in a Model of Dendritic Spines. ICONIP 1998: 1248-1251 - 1997
- [j7]Kim T. Blackwell, Thomas P. Vogl, Hans P. Dettmar, Michael A. Brown, Garth S. Barbour, Daniel L. Alkon:
Identification of faces obscured by noise: comparison of an artificial neural network with human observers. J. Exp. Theor. Artif. Intell. 9(4): 491-508 (1997) - 1996
- [j6]Hans P. Dettmar, Garth S. Barbour, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, Fred S. Fry Jr., Joseph E. Totah, T. L. Chambers:
Orange Juice Classification with a Biologically Based Neural Network. Comput. Chem. 20(2): 261-265 (1996) - 1994
- [j5]Daniel L. Alkon, Kim T. Blackwell, Garth S. Barbour, Susan A. Werness, Thomas P. Vogl:
Biological plausibility of synaptic associative memory models. Neural Networks 7(6-7): 1005-1017 (1994) - 1993
- [j4]Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon:
Associative learning in a network model of Hermissenda crassicornis. Biol. Cybern. 69(1): 19-28 (1993) - [j3]Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon:
Associative learning in a network model of Hermissenda crassicornis. Biol. Cybern. 70(1): 95 (1993) - 1992
- [j2]Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon:
Associative learning in a network model of Hermissenda crassicornis. Biol. Cybern. 68(2): 125-133 (1992) - [j1]Kim T. Blackwell, Thomas P. Vogl, S. D. Hyman, Garth S. Barbour, Daniel L. Alkon:
A new approach to hand-written character recognition. Pattern Recognit. 25(6): 655-666 (1992)
Coauthor Index
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