Corpus ID: 14208090

Extending integrate-and-fire model neurons to account for input filtering and the effects of weak electric fields mediated by the dendrite

@inproceedings{Aspart2016ExtendingIM,
  title={Extending integrate-and-fire model neurons to account for input filtering and the effects of weak electric fields mediated by the dendrite},
  author={Florian Aspart and Josef Ladenbauer and Klaus Obermayer},
  year={2016}
}
The collective dynamics of neuronal populations can be efficiently studied using single-compartment (point) model neurons of the integrate-and-fire (IF) type. Existing point neuron models are intrinsically not able to appropriately reproduce (i) the effects of dendrites on synaptic input integration or (ii) the modulation of neuronal activity due to an electric field, which strongly depends on the dendritic morphology. Weak electric fields, as generated endogenously or through transcranial… Expand

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References

SHOWING 1-10 OF 43 REFERENCES
Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks
TLDR
This work proposes a simple I&F neuron model that incorporates the spatial dependence of the shunting coefficient by a phenomenological parametrization and generalizes the DIF neuronal model to incorporate multiple inputs and obtain a similar dendritic integration rule that is consistent with the results obtained by using a realistic neuronal model with multiple compartments. Expand
The Green’s function formalism as a bridge between single- and multi-compartmental modeling
TLDR
This work presents an approach to model an artificial synapse that mimics dendritic processing without the need to explicitly simulate dendrite dynamics, and shows that by using this synapse model, point-neurons can achieve results that were previously limited to the realms of multi-compartmental models. Expand
Nonlinear multiplicative dendritic integration in neuron and network models
TLDR
This work suggests a new biophysical motivated derivation of a single compartment model that integrates the non-linear effects of shunting inhibition, where an inhibitory input on the route of an excitatory input to the soma cancels or “shunts” theexcitatory potential. Expand
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.
TLDR
The authors' simple model predicts correctly the timing of 96% of the spikes of the detailed model in response to injection of noisy synaptic conductances and has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro. Expand
Dynamics of populations and networks of neurons with voltage-activated and calcium-activated currents.
  • M. J. Richardson
  • Physics, Medicine
  • Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2009
TLDR
A generalization of the experimentally verified exponential integrate-and-fire model is introduced that includes biophysical, nonlinear gated conductance-based currents, and a spike shape that will allow for the modeling of emergent states in neural tissue at significantly increased levels of biological detail. Expand
Neuronal Morphology Generates High-Frequency Firing Resonance
TLDR
The underlying mechanism, showing that the two-compartment morphology of the Purkinje cell, interacting with a simple spiking mechanism and dendritic fluctuations, is sufficient to create high-frequency signal amplification, is termed morphology-induced resonance, which is selective for somatic inputs, which in the Pur Kinje cell are exclusively inhibitory. Expand
Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons
TLDR
The effects of adaptation in aEIF neurons on PRCs and network dynamics qualitatively reflect those of biophysical adaptation currents in detailed Hodgkin-Huxley-based neurons, which underscores the utility of the aE IF model for investigating the dynamical behavior of networks. Expand
How Spike Generation Mechanisms Determine the Neuronal Response to Fluctuating Inputs
TLDR
This study examines the ability of neurons to track temporally varying inputs by investigating how the instantaneous firing rate of a neuron is modulated by a noisy input with a small sinusoidal component with frequency, and proposes a simplified one-variable model, the “exponential integrate-and-fire neuron,” as an approximation of a conductance-based model. Expand
Signal propagation in oblique dendrites of CA1 pyramidal cells.
TLDR
The first detailed study of signal propagation in the full extent of CA1 oblique dendrites is used, and it is found that the local K(A) distribution had a major role in modulating action potential back propagation, whereas the forward propagation of dendritic spikes originating in the obliques was mainly affected by local morphological properties. Expand
Influence of extracellular oscillations on neural communication: a computational perspective
TLDR
It is demonstrated that the influence of the weak extracellular oscillations, which are commonly present in the brain, is rather stochastic and modest, but the stronger fields could significantly modulate spike timings. Expand
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