Most Recent Articles: The Journal of Mathematical Neurosciencehttps://mathematical-neuroscience.springeropen.comMost Recent Articles: The Journal of Mathematical NeuroscienceSpecial Issue from the 2017 International Conference on Mathematical Neurosciencehttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0069-5The ongoing acquisition of large and multifaceted data sets in neuroscience requires new mathematical tools for quantitatively grounding these experimental findings. Since 2015, the International Conference on...EditorialMon, 07 Jan 2019 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0069-5Zachary P. Kilpatrick, Julijana Gjorgjieva and Robert Rosenbaum2019-01-07T00:00:00ZM-Current Expands the Range of Gamma Frequency Inputs to Which a Neuronal Target Entrainshttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0068-6Theta (4–8 Hz) and gamma (30–80 Hz) rhythms in the brain are commonly associated with memory and learning (Kahana in J Neurosci 26:1669–1672, 2006; Quilichini et al. in J Neurosci 30:11128–11142, 2010). The preci...ResearchWed, 05 Dec 2018 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0068-6Yujia Zhou, Theodore Vo, Horacio G. Rotstein, Michelle M. McCarthy and Nancy Kopell2018-12-05T00:00:00ZStochastic Hybrid Systems in Cellular Neurosciencehttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0067-7We review recent work on the theory and applications of stochastic hybrid systems in cellular neuroscience. A stochastic hybrid system or piecewise deterministic Markov process involves the coupling between a ...ReviewWed, 22 Aug 2018 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0067-7Paul C. Bressloff and James N. Maclaurin2018-08-22T00:00:00ZData Assimilation Methods for Neuronal State and Parameter Estimationhttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0066-8This tutorial illustrates the use of data assimilation algorithms to estimate unobserved variables and unknown parameters of conductance-based neuronal models. Modern data assimilation (DA) techniques are wide...ReviewThu, 09 Aug 2018 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0066-8Matthew J. Moye and Casey O. Diekman2018-08-09T00:00:00ZBifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generatorhttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0065-9We present the study of a minimal microcircuit controlling locomotion in two-day-old Xenopus tadpoles. During swimming, neurons in the spinal central pattern generator (CPG) generate anti-phase oscillations betwe...ResearchWed, 18 Jul 2018 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0065-9Andrea Ferrario, Robert Merrison-Hort, Stephen R. Soffe, Wen-Chang Li and Roman Borisyuk2018-07-18T00:00:00Z