Robert Hampson to Models, Neurological
This is a "connection" page, showing publications Robert Hampson has written about Models, Neurological.
Connection Strength
3.266
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Deadwyler SA, Berger TW, Opris I, Song D, Hampson RE. Neurons and networks organizing and sequencing memories. Brain Res. 2015 Sep 24; 1621:335-44.
Score: 0.480
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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: 0.397
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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: 0.196
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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: 0.163
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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: 0.150
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Geng K, Shin DC, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus. Neural Comput. 2018 01; 30(1):149-183.
Score: 0.146
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Meier SR, Lancaster JL, Fetterhoff D, Kraft RA, Hampson RE, Starobin JM. The relationship between nernst equilibrium variability and the multifractality of interspike intervals in the hippocampus. J Comput Neurosci. 2017 Apr; 42(2):167-175.
Score: 0.137
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Hampson RE, Robinson BS, Marmarelis VZ, Deadwyler SA, Berger TW. Decoding memory features from hippocampal spiking activities using sparse classification models. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:1620-1623.
Score: 0.134
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Deadwyler SA, Hampson RE, Song D, Opris I, Gerhardt GA, Marmarelis VZ, Berger TW. A cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain. Exp Neurol. 2017 01; 287(Pt 4):452-460.
Score: 0.132
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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: 0.126
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Song D, Robinson BS, Hampson RE, Marmarelis VZ, Deadwyler SA, Berger TW. Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:3961-4.
Score: 0.120
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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: 0.118
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Sandler RA, Song D, Hampson RE, Deadwyler SA, Berger TW, Marmarelis VZ. Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus. J Comput Neurosci. 2015 Feb; 38(1):89-103.
Score: 0.118
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Marmarelis VZ, Shin DC, Song D, Hampson RE, Deadwyler SA, Berger TW. Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes. J Comput Neurosci. 2013 Feb; 34(1):73-87.
Score: 0.101
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Zanos TP, Hampson RE, Deadwyler SE, Berger TW, Marmarelis VZ. Boolean modeling of neural systems with point-process inputs and outputs. Part II: Application to the rat hippocampus. Ann Biomed Eng. 2009 Aug; 37(8):1668-82.
Score: 0.082
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Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Sparse generalized Laguerre-Volterra model of neural population dynamics. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:4555-8.
Score: 0.079
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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: 0.077
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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: 0.074
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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: 0.071
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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: 0.064
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Sandler RA, Fetterhoff D, Hampson RE, Deadwyler SA, Marmarelis VZ. Cannabinoids disrupt memory encoding by functionally isolating hippocampal CA1 from CA3. PLoS Comput Biol. 2017 Jul; 13(7):e1005624.
Score: 0.036
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Song D, Robinson BS, Hampson RE, Marmarelis VZ, Deadwyler SA, Berger TW. Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses. IEEE Trans Neural Syst Rehabil Eng. 2018 02; 26(2):272-280.
Score: 0.034
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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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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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Berger TW, Song D, Chan RH, Marmarelis VZ, LaCoss J, Wills J, Hampson RE, Deadwyler SA, Granacki JJ. A hippocampal cognitive prosthesis: multi-input, multi-output nonlinear modeling and VLSI implementation. IEEE Trans Neural Syst Rehabil Eng. 2012 Mar; 20(2):198-211.
Score: 0.025
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Berger TW, Hampson RE, Song D, Goonawardena A, Marmarelis VZ, Deadwyler SA. A cortical neural prosthesis for restoring and enhancing memory. J Neural Eng. 2011 Aug; 8(4):046017.
Score: 0.023
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Chan RH, Song D, Goonawardena AV, Bough S, Sesay J, Hampson RE, Deadwyler SA, Berger TW. Changes of hippocampal CA3-CA1 population nonlinear dynamics across different training sessions in rats performing a memory-dependent task. Annu Int Conf IEEE Eng Med Biol Soc. 2010; 2010:5464-7.
Score: 0.021
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Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Statistical selection of multiple-input multiple-output nonlinear dynamic models of spike train transformation. Annu Int Conf IEEE Eng Med Biol Soc. 2007; 2007:4727-30.
Score: 0.017
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Zanos TP, Courellis SH, Hampson RE, Deadwyler SA, Marmarelis VZ, Berger TW. A multi-input modeling approach to quantify hippocampal nonlinear dynamic transformations. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:4967-70.
Score: 0.016
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Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Physiologically plausible stochastic nonlinear kernel models of spike train to spike train transformation. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:6129-32.
Score: 0.016