Bendels MH, Leibold C. (2007). Generation of theta oscillations by weakly coupled neural oscillators in the presence of noise. Journal of computational neuroscience. 22 [PubMed]
Beverlin B, Kakalios J, Nykamp D, Netoff TI. (2012). Dynamical changes in neurons during seizures determine tonic to clonic shift. Journal of computational neuroscience. 33 [PubMed]
Couto J, Linaro D, De Schutter E, Giugliano M. (2015). On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro. PLoS computational biology. 11 [PubMed]
Ermentrout GB, Terman DH. (2010). Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics. 35
Galán RF, Ermentrout GB, Urban NN. (2005). Efficient estimation of phase-resetting curves in real neurons and its significance for neural-network modeling. Physical review letters. 94 [PubMed]
Kopell N, Borgers C, Pervouchine D, Tort AB, Malerba P. (2010). Gamma and theta rhythms in biophysical models of hippocampal circuits Hippocampal Microcircuits: A Computational Modeller`s Resource Book. Ch. 15..
Oh M, Matveev V. (2009). Loss of phase-locking in non-weakly coupled inhibitory networks of type-I model neurons. Journal of computational neuroscience. 26 [PubMed]
Pervouchine DD et al. (2006). Low-dimensional maps encoding dynamics in entorhinal cortex and hippocampus. Neural computation. 18 [PubMed]
Schultheiss NW, Edgerton JR, Jaeger D. (2010). Phase response curve analysis of a full morphological globus pallidus neuron model reveals distinct perisomatic and dendritic modes of synaptic integration. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]
Stacey WC, Lazarewicz MT, Litt B. (2009). Synaptic noise and physiological coupling generate high-frequency oscillations in a hippocampal computational model. Journal of neurophysiology. 102 [PubMed]
Takekawa T, Aoyagi T, Fukai T. (2007). Synchronous and asynchronous bursting states: role of intrinsic neural dynamics. Journal of computational neuroscience. 23 [PubMed]
Tikidji-Hamburyan RA, Leonik CA, Canavier CC. (2019). Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity. Journal of neurophysiology. 121 [PubMed]
Zhou YD, Acker CD, Netoff TI, Sen K, White JA. (2005). Increasing Ca2+ transients by broadening postsynaptic action potentials enhances timing-dependent synaptic depression. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]