Cengiz Gunay
Cited by
Cited by
Channel density distributions explain spiking variability in the globus pallidus: a combined physiology and computer simulation database approach
C Günay, JR Edgerton, D Jaeger
Journal of Neuroscience 28 (30), 7476-7491, 2008
Activity-dependent alternative splicing increases persistent sodium current and promotes seizure
WH Lin, C Günay, R Marley, AA Prinz, RA Baines
Journal of Neuroscience 32 (21), 7267-7277, 2012
Database analysis of simulated and recorded electrophysiological datasets with PANDORA’s toolbox
C Günay, JR Edgerton, S Li, T Sangrey, AA Prinz, D Jaeger
Neuroinformatics 7 (2), 93-111, 2009
Model calcium sensors for network homeostasis: sensor and readout parameter analysis from a database of model neuronal networks
C Günay, AA Prinz
Journal of Neuroscience 30 (5), 1686-1698, 2010
The transcription factors islet and Lim3 combinatorially regulate ion channel gene expression
V Wolfram, TD Southall, C Günay, AA Prinz, AH Brand, RA Baines
Journal of Neuroscience 34 (7), 2538-2543, 2014
Dendritic sodium channels regulate network integration in globus pallidus neurons: a modeling study
JR Edgerton, JE Hanson, C Günay, D Jaeger
Journal of Neuroscience 30 (45), 15146-15159, 2010
Distal spike initiation zone location estimation by morphological simulation of ionic current filtering demonstrated in a novel model of an identified drosophila motoneuron
C Günay, FH Sieling, L Dharmar, WH Lin, V Wolfram, R Marley, ...
PLoS computational biology 11 (5), e1004189, 2015
Computational intelligence
K Madani, AD Correia, A Rosa, J Filipe
Springer Berlin Heidelberg, 2011
Reproduktionsmedizin in Klinik und Forschung: Der Status des Embryos
H Hepp, S von Otte
Deutsche Akademie der Naturforscher Leopoldina, 2007
The required measures of phase segregation in distributed cortical processing
C Gunay, AS Maida
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
Using temporal binding for robust connectionist recruitment learning over delayed lines
C Günay, AS Maida
Technical Report TR-2003–2–1, 70504-4330, 2003
Output variability across animals and levels in a motor system
A Wenning, BJ Norris, C Günay, D Kueh, RL Calabrese
Elife 7, e31123, 2018
Classification of Resting State fMRI Datasets Using Dynamic Network Clusters.
HY Byun, JJ Lu, HS Mayberg, C Günay
AAAI Workshop: Modern Artificial Intelligence for Health Analytics, 2014
Conducting banding analysis with trained networks of sigmoid units
ISN Berkeley, C Gunay
Connection Science 16 (2), 119-128, 2004
Temporal binding as an inducer for connectionist recruitment learning over delayed lines
C Günay, AS Maida
Neural Networks 16 (5-6), 593-600, 2003
Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron
X Zhang, K Coates, A Dacks, C Günay, JS Lauritzen, F Li, ...
Elife 8, e46839, 2019
Neuronal Model Databases.
C Günay
Encyclopedia of computational neuroscience, 2024-2028, 2014
Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines
C Günay, AS Maida
Neurocomputing 69 (4-6), 317-367, 2006
Converting a globus pallidus neuron model from 585 to 6 compartments using an evolutionary algorithm
E Hendrickson, J Edgerton, C Gunay, N Schultheiss, D Jaeger
BMC Neuroscience 8 (S2), P122, 2007
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
C Günay, AS Maida
Biological cybernetics 94 (1), 33-45, 2006
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