Tomasz Grzegorz Smolinski
Affiliations: | Computer and Information Sciences | Delaware State University, Dover, DE, United States |
Area:
Computational Neuroscience, Computational Intelligence, Bio(logical)informaticsGoogle:
"Tomasz Smolinski"Mean distance: 16.25 (cluster 6) | S | N | B | C | P |
Children
Sign in to add trainee| Trevor J. Newell | research assistant | 2011- | Delaware State University |
| Emlyne Haruko Forren | research assistant | 2012- | Delaware State University |
| Parth U. Patel | grad student | 2012- | Delaware State University |
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Publications
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| Kerr CC, Dura-Bernal S, Smolinski TG, et al. (2018) Optimization by Adaptive Stochastic Descent. Plos One. 13: e0192944 |
| Fox DM, Tseng HA, Smolinski TG, et al. (2017) Mechanisms of generation of membrane potential resonance in a neuron with multiple resonant ionic currents. Plos Computational Biology. 13: e1005565 |
| Smolinski TG, Lombardo J, Harrington MA. (2015) Analyzing adaptive modulation in spinal motor neurons using multi-objective evolutionary algorithms Bmc Neuroscience. 16 |
| Malik A, Prinz AA, Smolinski TG. (2014) A system for automated analysis of conductance correlations involved in recovery of electrical activity after neuromodulator deprivation in stomatogastric neuron models Bmc Neuroscience. 15: P41 |
| Malik A, Shim K, Prinz AA, et al. (2013) Multi-objective evolutionary algorithms for analysis of conductance correlations involved in recovery of bursting after neuromodulator deprivation in lobster stomatogastric neuron models Bmc Neuroscience. 14: P370 |
| Patel P, Johnson-Gray M, Forren E, et al. (2013) Hybridization of multi-objective evolutionary algorithms and fuzzy control for automated construction, tuning, and analysis of neuronal models Bmc Neuroscience. 14: P369 |
| Smolinski TG, Newell T, McDaniel S, et al. (2013) Detection of unusual trajectories using multi-objective evolutionary algorithms and rough sets Proceedings of Spie - the International Society For Optical Engineering. 8857 |
| Smolinski TG, Prinz AA. (2013) Rough Sets and Neuroscience Intelligent Systems Reference Library. 43: 493-514 |
| Shim K, Prinz AA, Smolinski TG. (2012) Analyzing conductance correlations involved in recovery of bursting after neuromodulator deprivation in lobster stomatogastric neuron models Bmc Neuroscience. 13: P37 |
| Forren E, Johnson-Gray M, Patel P, et al. (2012) NeRvolver: a computational intelligence-based system for automated construction, tuning, and analysis of neuronal models Bmc Neuroscience. 13: P36 |