… Here we report on the point neuron modeling portion of the Allen Cell Types Database 1 .
In … random seed. We used noise 1 data to fit the model and noise 2 as “hold out” test data to …

… in expressing the variability of firings that is modeled in the form of a hazard function… stochastic
threshold model and the corresponding AS system. We prove our main theoretical results …

… a stochastic leaky integrate-and-fire model of neurons is considered. The effect of temporally
correlated random neuronal input is modeled … be useful for interpreting experimental data in …

… and identically distributed random spike train inputs, which … It is well known that there are
many different types of neurons, … Our results give experimental neuroscientists who estimate …

… 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 noises, we prove that there exists a global random … biological neuron models and
also in experimental preparations. … This behavior is modeled by a simple 1D equation together …

… 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 …

… Random amplitudes and delays of excitatory PSPs have … An experiment have also been
performed in vivo in pyramidal … based on the types of neurotransmitters, types of receptors at …

… 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 …