… view upon the two stochastic processes mostly used in … in models in order to reproduce
the experimentally observed … In this classification, external noise stands for the sources of …

… types of random input currents together with a random … SNNs play an important role in the
modelling of important … [20, 21] for dynamic clamp experiments and we take them for our model …

… output, the classification accuracy of the test dataset, and the … to the classification layer (of
2 neurons) through the ReLU … Take the output of ANN as the label of test data, classification …

… to classify standard image data sets. We provide a KERAS package (https://github.com/rgerum/tf_spiking)
that can be used to integrate LIF unit … of the test accuracy (early stopping). The …

… network is modeled as a diffusion-jump stochastic process … models is the noisy leaky
integrate and fire (LIF) model [35], … In Section 4, we investigate using numerical experiments the …

… networks of excitatory leaky integrate-and-fire neurons with STDP with different types of synaptic
… human subjects, animal experiments, or any data collected from social media platforms. …

… Furthermore, a modelling methodology that accounts for … In the following section, we report
experimental results … , and single writing pulse in order to test volatility behaviour. We also …

… By using the relation between the LIF neuron characteristics and device parameters modeled
… There are two types of spiking neuron stochasticity. One is the neuron-to-neuron variation …

… We uncover two types of fluctuation correction to the mean-… space, consistent with experimental
reports of inhibitory stabilization … We introduce the stochastic leaky integrate-andfire (LIF) …

… a microscopic level, using Stochastic Differential Equations, … To our knowledge, these
types of distributions had not been … As first test, we checked the convergence to the unique …