Robert Hampson to Nerve Net
This is a "connection" page, showing publications Robert Hampson has written about Nerve Net.
Connection Strength
2.161
-
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: 0.466
-
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: 0.385
-
Deadwyler SA, Hayashizaki S, Cheer J, Hampson RE. Reward, memory and substance abuse: functional neuronal circuits in the nucleus accumbens. Neurosci Biobehav Rev. 2004 Jan; 27(8):703-11.
Score: 0.217
-
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: 0.158
-
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: 0.128
-
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: 0.114
-
Opris I, Fuqua JL, Gerhardt GA, Hampson RE, Deadwyler SA. Prefrontal cortical recordings with biomorphic MEAs reveal complex columnar-laminar microcircuits for BCI/BMI implementation. J Neurosci Methods. 2015 Apr 15; 244:104-13.
Score: 0.112
-
Opris I, Hampson RE, Gerhardt GA, Berger TW, Deadwyler SA. Columnar processing in primate pFC: evidence for executive control microcircuits. J Cogn Neurosci. 2012 Dec; 24(12):2334-47.
Score: 0.100
-
Taghva A, Song D, Hampson RE, Deadwyler SA, Berger TW. Determination of relevant neuron-neuron connections for neural prosthetics using time-delayed mutual information: tutorial and preliminary results. World Neurosurg. 2012 Dec; 78(6):618-30.
Score: 0.094
-
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: 0.075
-
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: 0.072
-
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: 0.069
-
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: 0.062
-
Deadwyler SA, Hampson RE. Differential but complementary mnemonic functions of the hippocampus and subiculum. Neuron. 2004 May 13; 42(3):465-76.
Score: 0.056
-
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
-
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: 0.025