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13 result(s) within Volume 8 of The Journal of Mathematical Neuroscience

Page 1 of 1

  1. Theta (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...

    Authors: Yujia Zhou, Theodore Vo, Horacio G. Rotstein, Michelle M. McCarthy and Nancy Kopell

    Citation: The Journal of Mathematical Neuroscience 2018 8:13

    Content type: Research

    Published on:

  2. We 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 ...

    Authors: Paul C. Bressloff and James N. Maclaurin

    Citation: The Journal of Mathematical Neuroscience 2018 8:12

    Content type: Review

    Published on:

  3. We 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...

    Authors: Andrea Ferrario, Robert Merrison-Hort, Stephen R. Soffe, Wen-Chang Li and Roman Borisyuk

    Citation: The Journal of Mathematical Neuroscience 2018 8:10

    Content type: Research

    Published on:

  4. Neurons in a micro-circuit connected by chemical synapses can have their connectivity affected by the prior activity of the cells. The number of synapses available for releasing neurotransmitter can be decreas...

    Authors: Elham Bayat Mokhtari, J. Josh Lawrence and Emily F. Stone

    Citation: The Journal of Mathematical Neuroscience 2018 8:7

    Content type: Research

    Published on:

  5. Many physiological phenomena have the property that some variables evolve much faster than others. For example, neuron models typically involve observable differences in time scales. The Hodgkin–Huxley model i...

    Authors: Cris R. Hasan, Bernd Krauskopf and Hinke M. Osinga

    Citation: The Journal of Mathematical Neuroscience 2018 8:5

    Content type: Research

    Published on:

  6. We consider finite and infinite all-to-all coupled networks of identical theta neurons. Two types of synaptic interactions are investigated: instantaneous and delayed (via first-order synaptic processing). Ext...

    Authors: Carlo R. Laing

    Citation: The Journal of Mathematical Neuroscience 2018 8:4

    Content type: Research

    Published on:

  7. Understanding the neural field activity for realistic living systems is a challenging task in contemporary neuroscience. Neural fields have been studied and developed theoretically and numerically with conside...

    Authors: Jehan Alswaihli, Roland Potthast, Ingo Bojak, Douglas Saddy and Axel Hutt

    Citation: The Journal of Mathematical Neuroscience 2018 8:3

    Content type: Research

    Published on:

  8. We investigate the sparse functional identification of complex cells and the decoding of spatio-temporal visual stimuli encoded by an ensemble of complex cells. The reconstruction algorithm is formulated as a ...

    Authors: Aurel A. Lazar, Nikul H. Ukani and Yiyin Zhou

    Citation: The Journal of Mathematical Neuroscience 2018 8:2

    Content type: Research

    Published on:

  9. The Hopfield recurrent neural network is a classical auto-associative model of memory, in which collections of symmetrically coupled McCulloch–Pitts binary neurons interact to perform emergent computation. Alt...

    Authors: Christopher J. Hillar and Ngoc M. Tran

    Citation: The Journal of Mathematical Neuroscience 2018 8:1

    Content type: Research

    Published on:

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