Robert Hampson to Computer Simulation
This is a "connection" page, showing publications Robert Hampson has written about Computer Simulation.
Connection Strength
0.588
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Geng K, Shin DC, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems. Neural Comput. 2019 07; 31(7):1327-1355.
Score: 0.161
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Hampson RE, Song D, Chan RH, Sweatt AJ, Riley MR, Goonawardena AV, Marmarelis VZ, Gerhardt GA, Berger TW, Deadwyler SA. Closing the loop for memory prosthesis: detecting the role of hippocampal neural ensembles using nonlinear models. IEEE Trans Neural Syst Rehabil Eng. 2012 Jul; 20(4):510-25.
Score: 0.098
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Hampson RE, Simeral JD, Deadwyler SA. "Keeping on track": firing of hippocampal neurons during delayed-nonmatch-to-sample performance. J Neurosci. 2002 Jan 15; 22(2):RC198.
Score: 0.048
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Sandler RA, Geng K, Song D, Hampson RE, Witcher MR, Deadwyler SA, Berger TW, Marmarelis VZ. Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression. Neural Comput. 2018 05; 30(5):1180-1208.
Score: 0.037
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Sandler RA, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Hippocampal closed-loop modeling and implications for seizure stimulation design. J Neural Eng. 2015 Oct; 12(5):056017.
Score: 0.031
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Sandler RA, Deadwyler SA, Hampson RE, Song D, Berger TW, Marmarelis VZ. System identification of point-process neural systems using probability based Volterra kernels. J Neurosci Methods. 2015 Jan 30; 240:179-92.
Score: 0.030
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Song D, Chan RH, Robinson BS, Marmarelis VZ, Opris I, Hampson RE, Deadwyler SA, Berger TW. Identification of functional synaptic plasticity from spiking activities using nonlinear dynamical modeling. J Neurosci Methods. 2015 Apr 15; 244:123-35.
Score: 0.029
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Fetterhoff D, Opris I, Simpson SL, Deadwyler SA, Hampson RE, Kraft RA. Multifractal analysis of information processing in hippocampal neural ensembles during working memory under ??-tetrahydrocannabinol administration. J Neurosci Methods. 2015 Apr 15; 244:136-53.
Score: 0.029
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Song D, Wang H, Tu CY, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci. 2013 Dec; 35(3):335-57.
Score: 0.027
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Opris I, Santos L, Gerhardt GA, Song D, Berger TW, Hampson RE, Deadwyler SA. Prefrontal cortical microcircuits bind perception to executive control. Sci Rep. 2013; 3:2285.
Score: 0.026
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Zanos TP, Courellis SH, Berger TW, Hampson RE, Deadwyler SA, Marmarelis VZ. Nonlinear modeling of causal interrelationships in neuronal ensembles. IEEE Trans Neural Syst Rehabil Eng. 2008 Aug; 16(4):336-52.
Score: 0.019
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Zanos TP, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Functional connectivity through nonlinear modeling: an application to the rat hippocampus. Annu Int Conf IEEE Eng Med Biol Soc. 2008; 2008:5522-5.
Score: 0.018
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Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses. IEEE Trans Biomed Eng. 2007 Jun; 54(6 Pt 1):1053-66.
Score: 0.018
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Courellis SH, Zanos TP, Hsiao MC, Hampson RE, Deadwyler SA, Marmarelis VZ, Berger TW. Modeling hippocampal nonlinear dynamic transformations with principal dynamic modes. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:2300-3.
Score: 0.016