Fred Henry Sieling

Georgia Institute of Technology and Emory University, Atlanta, GA, United States 
synchronization, hybrid networks
"Fred Sieling"
Mean distance: 16.25 (cluster 6)


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Astrid A. Prinz grad student 2006-2010 Georgia Tech
 (Prediction and control of patterned activity in small neural networks.)


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Cengiz Gunay collaborator 2008-2012 Emory
 (Drosophila motoneuron project)
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Günay C, Sieling FH, Dharmar L, et al. (2015) Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified Drosophila motoneuron. Plos Computational Biology. 11: e1004189
Günay C, Sieling FH, Dharmar L, et al. (2015) Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified Drosophila Motoneuron Plos Computational Biology. 11
Sieling F, Bédécarrats A, Simmers J, et al. (2014) Differential roles of nonsynaptic and synaptic plasticity in operant reward learning-induced compulsive behavior. Current Biology : Cb. 24: 941-50
Sieling FH, Archila S, Hooper R, et al. (2012) Phase response theory extended to nonoscillatory network components. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 056208
Maran SK, Sieling FH, Demla K, et al. (2011) Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms. Journal of Computational Neuroscience. 31: 419-40
Achuthan S, Sieling FH, Prinz AA, et al. (2011) Phase Resetting in the Presence of Noise and Heterogeneity The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance
Sieling FH, Canavier CC, Prinz AA. (2010) Inclusion of noise in iterated firing time maps based on the phase response curve. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 061923
Sieling FH, Canavier CC, Prinz AA. (2009) Predictions of phase-locking in excitatory hybrid networks: excitation does not promote phase-locking in pattern-generating networks as reliably as inhibition. Journal of Neurophysiology. 102: 69-84
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