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  1. 1
    Regularization of Ill-Posed Point Neuron Models
    by Bjørn Fredrik Nielsen
    Published 2017-07-01
    Subjects: “...Point neuron models...”
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    Article
  2. 2
    Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses
    Subjects: “...neuron models...”
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    Article
  3. 3
    A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron models
    Subjects: “...morphological neuron models...”
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    Article
  4. 4
    Iso-response methods provide direct insight into dendritic computations.
    by Stefan Häusler, Christoph Kirst
    Published 2014-04-01
    Subjects: “...neuron models...”
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    Article
  5. 5
    Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons
    by White, William E.
    Published 2013
    Subjects: “...conductance neuron models...”
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  6. 6
    Corrigendum : Firing clamp: a novel method for single-trial estimation of excitatory and inhibitory synaptic neuronal conductances
    Subjects: “...neuron models...”
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    Article
  7. 7
    Spike-timing prediction in cortical neurons with active dendrites
    Subjects: “...neuron models...”
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    Article
  8. 8
    A Single-Neuron: Current Trends and Future Prospects
    Subjects: “...single-neuron models...”
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    Article
  9. 9
    Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons
    Subjects: “...Neuron models...”
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    Article
  10. 10
    A general and efficient method for incorporating precise spike times in globally time-driven simulations
    Subjects: “...nonlinear neuron models...”
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    Article
  11. 11
    Revealing Spectrum Features of Stochastic Neuron Spike Trains
    Subjects: “...neuron models...”
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    Article
  12. 12
    The iso-response method: Measuring neuronal stimulus integration with closed-loop experiments
    Subjects: “...neuron models...”
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    Article
  13. 13
    The neuronal response at extended timescales: a linearized spiking input-output relation
    by Daniel eSoudry, Ron eMeir
    Published 2014-04-01
    Subjects: “...conductance based neuron models...”
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    Article
  14. 14
    Temporal constrained objects for modelling neuronal dynamics
    Subjects: “...Neuron models...”
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    Article
  15. 15
    Ідентифікація моделі динаміки українського фондового індексу ПФТС
    Subjects: “...neuron models...”
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    Article
  16. 16
    LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
    Subjects: “...conductance based neuron models...”
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    Article
  17. 17
    Towards building hybrid biological/in silico neural networks for motor neuroprosthetic control
    Subjects: “...spiking neuron models...”
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    Article
  18. 18
    A Functional Spiking Neural Network of Ultra Compact Neurons
    Subjects: “...neuron models...”
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    Article
  19. 19
    Biologically Relevant Dynamical Behaviors Realized in an Ultra-Compact Neuron Model
    Subjects: “...neuron models...”
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    Article
  20. 20
    Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons
    Subjects: “...neuron models...”
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    Article
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