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Peter A. Robinson
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2020 – today
- 2024
- [j56]Rawan Khalil El Zghir, Natasha C. Gabay, Peter A. Robinson:
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity. Frontiers Comput. Neurosci. 18 (2024) - [j55]Daniel Polyakov
, Peter A. Robinson, Eli J. Müller, Oren Shriki:
Recruiting neural field theory for data augmentation in a motor imagery brain-computer interface. Frontiers Robotics AI 11 (2024) - 2022
- [j54]M. M. Aghili Yajadda, Peter A. Robinson, James A. Henderson
Generalized neural field theory of cortical plasticity illustrated by an application to the linear phase of ocular dominance column formation in primary visual cortex. Biol. Cybern. 116(1): 33-52 (2022) - [j53]Xiaochen Liu
Analytic Model for Feature Maps in the Primary Visual Cortex. Frontiers Comput. Neurosci. 16: 659316 (2022) - [j52]Peter A. Robinson:
Ten rules for effective modeling. NeuroImage 263: 119622 (2022) - 2021
- [j51]Najmeh Sajedianfard
Quantitative analysis of trade networks: data and robustness. Appl. Netw. Sci. 6(1): 46 (2021) - [j50]Peter A. Robinson
Relationships between lognormal distributions of neural properties, activity, criticality, and connectivity. Biol. Cybern. 115(2): 121-130 (2021) - [j49]Peter A. Robinson
Neural field theory of neural avalanche exponents. Biol. Cybern. 115(3): 237-243 (2021) - [j48]James A. Henderson
Brain dynamics and structure-function relationships via spectral factorization and the transfer function. NeuroImage 235: 117989 (2021) - 2020
- [j47]Xiao Gao, Peter A. Robinson
Importance of self-connections for brain connectivity and spectral connectomics. Biol. Cybern. 114(6): 643-651 (2020)
2010 – 2019
- 2019
- [j46]Marilia Menezes de Oliveira
Feasibility of functional magnetic resonance imaging of ocular dominance and orientation preference in primary visual cortex. PLoS Comput. Biol. 15(11) (2019) - 2018
- [j45]M. S. Zobaer
Physiology-based ERPs in normal and abnormal states. Biol. Cybern. 112(5): 465-482 (2018) - [j44]Eli J. Müller
Suppression of Parkinsonian Beta Oscillations by Deep Brain Stimulation: Determination of Effective Protocols. Frontiers Comput. Neurosci. 12: 98 (2018) - [j43]James C. Pang
Neural mechanisms of the EEG alpha-BOLD anticorrelation. NeuroImage 181: 461-470 (2018) - [j42]Eli J. Müller
Quantitative theory of deep brain stimulation of the subthalamic nucleus for the suppression of pathological rhythms in Parkinson's disease. PLoS Comput. Biol. 14(5) (2018) - [j41]Paula Sanz-Leon
NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j40]M. S. Zobaer
K-complexes, spindles, and ERPs as impulse responses: unification via neural field theory. Biol. Cybern. 111(2): 149-164 (2017) - [j39]X. Zhao, Peter A. Robinson
Neural field model of seizure-like activity in isolated cortex. J. Comput. Neurosci. 42(3): 307-321 (2017) - [j38]James C. Pang
Effects of astrocytic dynamics on spatiotemporal hemodynamics: Modeling and enhanced data analysis. NeuroImage 147: 994-1005 (2017) - 2016
- [j37]Marcus T. Wilson, P. K. Fung, Peter A. Robinson
Calcium dependent plasticity applied to repetitive transcranial magnetic stimulation with a neural field model. J. Comput. Neurosci. 41(1): 107-125 (2016) - [j36]Alexander M. Puckett
The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex. NeuroImage 139: 240-248 (2016) - [j35]Peter A. Robinson
Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment. NeuroImage 142: 79-98 (2016) - 2015
- [j34]X. Zhao, Peter A. Robinson
Generalized seizures in a neural field model with bursting dynamics. J. Comput. Neurosci. 39(2): 197-216 (2015) - [i1]Somwrita Sarkar, Sanjay Chawla, Peter A. Robinson, Santo Fortunato:
Eigenvector dynamics under perturbation of modular networks. CoRR abs/1510.07064 (2015) - 2014
- [j33]James A. Henderson
Relations Between the Geometry of Cortical Gyrification and White-Matter Network Architecture. Brain Connect. 4(2): 112-130 (2014) - [j32]Dimitris A. Pinotsis
Neural masses and fields: modeling the dynamics of brain activity. Frontiers Comput. Neurosci. 8: 149 (2014) - [j31]X. Zhao, Jong-Won Kim, Peter A. Robinson
Low dimensional model of bursting neurons. J. Comput. Neurosci. 36(1): 81-95 (2014) - [j30]Kevin M. Aquino
Deconvolution of neural dynamics from fMRI data using a spatiotemporal hemodynamic response function. NeuroImage 94: 203-215 (2014) - 2013
- [j29]Pulin Gong
Spatiotemporal pattern formation in two-dimensional neural circuits: roles of refractoriness and noise. Biol. Cybern. 107(1): 1-13 (2013) - [j28]Y. Qi, A. L. Watts, Jong-Won Kim, Peter A. Robinson
Firing patterns in a conductance-based neuron model: bifurcation, phase diagram, and chaos. Biol. Cybern. 107(1): 15-24 (2013) - [j27]James Andrew Henderson
Using Geometry to Uncover Relationships Between Isotropy, Homogeneity, and Modularity in Cortical Connectivity. Brain Connect. 3(4): 423-437 (2013) - [j26]Richard T. Gray
Stability constraints on large-scale structural brain networks. Frontiers Comput. Neurosci. 7: 31 (2013) - [j25]Cliff C. Kerr, Sacha J. van Albada
Cortical information flow in Parkinson's disease: a composite network/field model. Frontiers Comput. Neurosci. 7: 39 (2013) - [j24]Andrew J. K. Phillips
Mammalian Rest/Activity Patterns Explained by Physiologically Based Modeling. PLoS Comput. Biol. 9(9) (2013) - 2012
- [j23]J. A. Roberts, Peter A. Robinson
Quantitative theory of driven nonlinear brain dynamics. NeuroImage 62(3): 1947-1955 (2012) - [j22]Kevin M. Aquino
Hemodynamic Traveling Waves in Human Visual Cortex. PLoS Comput. Biol. 8(3) (2012) - [j21]Marcus T. Wilson, Peter A. Robinson
Complementarity of Spike- and Rate-Based Dynamics of Neural Systems. PLoS Comput. Biol. 8(6) (2012) - 2011
- [j20]Hui-Ying Wu, Peter A. Robinson
Firing responses of bursting neurons with delayed feedback. J. Comput. Neurosci. 31(1): 61-71 (2011) - [j19]Cliff C. Kerr, Andrew H. Kemp
Thalamocortical changes in major depression probed by deconvolution and physiology-based modeling. NeuroImage 54(4): 2672-2682 (2011) - 2010
- [j18]Andrew J. K. Phillips
Mammalian Sleep Dynamics: How Diverse Features Arise from a Common Physiological Framework. PLoS Comput. Biol. 6(6) (2010)
2000 – 2009
- 2009
- [j17]Hal Henke, Peter A. Robinson
Spatiotemporal dynamics of pattern formation in the primary visual cortex and hallucinations. Biol. Cybern. 101(1): 3-18 (2009) - [j16]Richard T. Gray
Stability of small-world networks of neural populations. Neurocomputing 72(7-9): 1565-1574 (2009) - [j15]Richard T. Gray
Stability of random brain networks with excitatory and inhibitory connections. Neurocomputing 72(7-9): 1849-1858 (2009) - [j14]Richard T. Gray
Stability and structural constraints of random brain networks with excitatory and inhibitory neural populations. J. Comput. Neurosci. 27(1): 81-101 (2009) - [j13]Matthew J. Barton, Peter A. Robinson
Evaluating the Performance of Kalman-Filter-Based EEG Source Localization. IEEE Trans. Biomed. Eng. 56(1): 122-136 (2009) - 2008
- [j12]Peter A. Robinson
Physiologically based calculation of steady-state evoked potentials and cortical wave velocities. Biol. Cybern. 98(1): 1-10 (2008) - [j11]Cliff C. Kerr, Christopher J. Rennie, Peter A. Robinson
Physiology-based modeling of cortical auditory evoked potentials. Biol. Cybern. 98(2): 171-184 (2008) - [j10]Richard T. Gray
Stability and synchronization of random brain networks with a distribution of connection strengths. Neurocomputing 71(7-9): 1373-1387 (2008) - [j9]Gustavo Deco
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Comput. Biol. 4(8) (2008) - 2007
- [j8]Peter N. Loxley
Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity. Biol. Cybern. 97(2): 113-122 (2007) - [j7]Peter A. Robinson
Visual gamma oscillations: waves, correlations, and other phenomena, including comparison with experimental data. Biol. Cybern. 97(4): 317-335 (2007) - [j6]Richard T. Gray
Stability and spectra of randomly connected excitatory cortical networks. Neurocomputing 70(4-6): 1000-1012 (2007) - [j5]Klaas Enno Stephan
Comparing hemodynamic models with DCM. NeuroImage 38(3): 387-401 (2007) - 2006
- [j4]Peter A. Robinson
BOLD responses to stimuli: Dependence on frequency, stimulus form, amplitude, and repetition rate. NeuroImage 31(2): 585-599 (2006) - [c1]P. S. Haynes, Peter A. Robinson:
A transformation efficient three-dimensional multiple-view model of visual memory. IRI 2006: 448-453 - 2004
- [j3]James Joseph Wright, Christopher J. Rennie, G. J. Lees, Peter A. Robinson
Simulated Electrocortical Activity at Microscopic, Mesoscopic and Global Scales. Int. J. Bifurc. Chaos 14(2): 853-872 (2004) - [j2]S. C. O'Connor, Peter A. Robinson
Wavenumber power spectrum of the EEG, ECoG, and ERP. Neurocomputing 58-60: 1181-1186 (2004) - 2002
- [j1]Christopher J. Rennie, Peter A. Robinson
Unified neurophysical model of EEG spectra and evoked potentials. Biol. Cybern. 86(6): 457-471 (2002)
Coauthor Index
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