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

Page 1 of 1

  1. Content type: Research

    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

    Published on:

  2. Content type: Review

    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

    Published on:

  3. Content type: Research

    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

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  4. Content type: Research

    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

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  5. Content type: Research

    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

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  6. Content type: Research

    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

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  7. Content type: Research

    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

    Published on:

  8. Content type: Research

    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

    Published on:

  9. Content type: Research

    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

    Published on:

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