Corrigendum: Complex Electroresponsive Dynamics in Olivocerebellar Neurons Represented With Extended-Generalized Leaky Integrate and Fire Models
نویسندگان
چکیده
منابع مشابه
Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons
Integrate-and-fire models of biological neurons combine differential equations with discrete spike events. In the simplest case, the reset of the neuronal voltage to its resting value is the only spike event. The response of such a model to constant input injection is limited to tonic spiking. We here study a generalized model in which two simple spike-induced currents are added. We show that t...
متن کاملRate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses
Firing-rate models provide a practical tool for studying the dynamics of trial- or population-averaged neuronal signals. A wealth of theoretical and experimental studies has been dedicated to the derivation or extraction of such models by investigating the firing-rate response characteristics of ensembles of neurons. The majority of these studies assumes that neurons receive input spikes at a h...
متن کاملCounting with Neurons: Rule Application with Nets of Fatiguing Leaky Integrate and Fire Neurons
This paper shows a system that performs simple symbolic processing. The system is based entirely on fatiguing Leaky Integrate and Fire neurons, a coarse model of neurons. Following Hebb, the symbols are encoded by neurons that form Cell Assemblies. Additionally simple rules of the form ifX → X+1 are encoded by Cell Assemblies, and this symbolic computation is performed. Finally, a more complex ...
متن کاملTemporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons
There has been controversy over whether the standard neuro-spiking models are consistent with the irregular spiking of cortical neurons. In a previous study, we proposed examining this consistency on the basis of the high-order statistics of the inter-spike intervals (ISIs), as represented by the coefficient of variation and the skewness coefficient. In that study we found that a leaky integrat...
متن کاملSpike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
Mathematical models of neurons are widely used to improve understanding of neuronal spiking behavior. These models can produce artificial spike trains that resemble actual spike train data in important ways, but they are not very easy to apply to the analysis of spike train data. Instead, statistical methods based on point process models of spike trains provide a wide range of data-analytical t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2019
ISSN: 1662-5188
DOI: 10.3389/fncom.2019.00048