Most Recent Articles: The Journal of Mathematical Neurosciencehttps://mathematical-neuroscience.springeropen.comMost Recent Articles: The Journal of Mathematical NeuroscienceEfficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate modelshttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-019-0070-7Understanding nervous system function requires careful study of transient (non-equilibrium) neural response to rapidly changing, noisy input from the outside world. Such neural response results from dynamic in...Short reportThu, 09 May 2019 00:00:00 GMThttps://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-019-0070-7Cheng Ly, Woodrow L. Shew and Andrea K. Barreiro2019-05-09T00:00:00ZSpecial 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. Diekman2018-08-09T00:00:00Z