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ORCIDSamuel A. Neymotin
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2020 – today
- 2022
[j13]Daniel Hasegan, Matt Deible, Christopher Earl
, David Donofrio, Hananel Hazan, Haroon Anwar, Samuel A. Neymotin:
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning. Frontiers Comput. Neurosci. 16 (2022)- 2021
- [j12]James Bonaiuto, Simon Little, Samuel A. Neymotin, Stephanie R. Jones, Gareth R. Barnes, Sven Bestmann:
Laminar dynamics of high amplitude beta bursts in human motor cortex. NeuroImage 242: 118479 (2021) - 2020
- [c2]Subhashini Sivagnanam, Wyatt Gorman, Donald Doherty, Samuel A. Neymotin, Stephen Fang, Hermine Hovhannisyan, William W. Lytton, Salvador Dura-Bernal:
Simulating Large-scale Models of Brain Neuronal Circuits using Google Cloud Platform. PEARC 2020: 505-509
2010 – 2019
- 2017
- [j11]Salvador Dura-Bernal, Samuel A. Neymotin, Cliff C. Kerr, Subhashini Sivagnanam, Amit Majumdar, Joseph T. Francis, William W. Lytton:
Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM J. Res. Dev. 61(2/3): 6:1-6:14 (2017) - 2015
- [j10]Salvador Dura-Bernal, Xianlian Zhou, Samuel A. Neymotin, Andrzej Przekwas, Joseph T. Francis, William W. Lytton:
Cortical Spiking Network Interfaced with Virtual Musculoskeletal Arm and Robotic Arm. Frontiers Neurorobotics 9: 13 (2015) - [j9]Samuel A. Neymotin, Robert A. McDougal, Mohamed A. Sherif, Christopher P. Fall, Michael L. Hines, William W. Lytton:
Neuronal Calcium Wave Propagation Varies with Changes in Endoplasmic Reticulum Parameters: A Computer Model. Neural Comput. 27(4): 898-924 (2015) - 2014
- [j8]Mark Stephen Rowan, Samuel A. Neymotin, William W. Lytton:
Electrostimulation to reduce synaptic scaling driven progression of Alzheimer's disease. Frontiers Comput. Neurosci. 8: 39 (2014) - [j7]George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. G. Shepherd, William W. Lytton:
Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. Neural Comput. 26(7): 1239-1262 (2014) - [j6]Salvador Dura-Bernal, George L. Chadderdon, Samuel A. Neymotin, Joseph T. Francis, William W. Lytton:
Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm. Pattern Recognit. Lett. 36: 204-212 (2014) - [r1]Samuel A. Neymotin, Zachary Taxin, Ashutosh Mohan, Peter Lipton:
Brain Ischemia and Stroke. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j5]Cliff C. Kerr, Sacha J. van Albada, Samuel A. Neymotin, George L. Chadderdon, Peter A. Robinson, William W. Lytton:
Cortical information flow in Parkinson's disease: a composite network/field model. Frontiers Comput. Neurosci. 7: 39 (2013) - [j4]Samuel A. Neymotin, George L. Chadderdon, Cliff C. Kerr, Joseph T. Francis, William W. Lytton:
Reinforcement Learning of Two-Joint Virtual Arm Reaching in a Computer Model of Sensorimotor Cortex. Neural Comput. 25(12): 3263-3293 (2013) - [c1]Mark Stephen Rowan, Samuel A. Neymotin:
Synaptic Scaling Balances Learning in a Spiking Model of Neocortex. ICANNGA 2013: 20-29 - [i1]Mark Stephen Rowan, Samuel A. Neymotin:
Synaptic Scaling Balances Learning in a Spiking Model of Neocortex. CoRR abs/1304.2266 (2013) - 2011
- [j3]Samuel A. Neymotin, Heekyung Lee, Eunhye Park, André A. Fenton, William W. Lytton:
Emergence of Physiological Oscillation Frequencies in a Computer Model of Neocortex. Frontiers Comput. Neurosci. 5: 19 (2011) - [j2]Samuel A. Neymotin, Kimberle M. Jacobs, André A. Fenton, William W. Lytton:
Synaptic information transfer in computer models of neocortical columns. J. Comput. Neurosci. 30(1): 69-84 (2011)
2000 – 2009
- 2008
- [j1]William W. Lytton, Ahmet Omurtag, Samuel A. Neymotin, Michael L. Hines:
Just-in-Time Connectivity for Large Spiking Networks. Neural Comput. 20(11): 2745-2756 (2008) - [p1]Samuel A. Neymotin, Daniel J. Uhlrich, Karen A. Manning, William W. Lytton:
Data-Mining of Time-Domain Features from Neural Extracellular Field Data. Computational Intelligence in Biomedicine and Bioinformatics 2008: 119-140
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