uncertain LIF neuron equationstabilityThe Leaky Integrate-and-Fire (LIF) neuron model is a simplified neuronal model commonly used to describe voltage changes on the cell membrane. Considering the influence of real-world environmental factors on the total input current received by neurons, we propose...
Membrane equation; "V" stands for voltage (o゜▽゜)o☆ castinga.k.a. type change: e.g. float*int = float f-strings(since python 3.6) a='Hi'b='Li Hua'print(f'{a} {b}') Hi Li Hua x=0.314152653print(f'{x:.3f}')print(f'{x:.4e}')#e表示10的次方. e-01= 10^(-1) 0...
Leaky Integrate and Fire Neuron by Charge-Discharge Dynamics in Floating-Body MOSFETSangya Dutta, Vinay Kumar, Aditya Shukla, Nihar R. Mohapatra & Udayan Ganguly Scientific Reports volume 7, Article number: 8257 (2017) Cite this article
We used a family of models we refer to as generalized leaky integrate and fire (GLIF) models. This family of models starts with the classic leaky integrate and fire model13and then incorporates additional phenomenological mechanisms similar to other studies. These mechanisms are fit directly from t...
Due to these jumps the resulting equation is a transport equation containing two integral in right-hand side (jumps). We design, implement, and analyze numerical methods of finite volume type. Some numerical examples are also included.关键词: Leaky integrate-and-fire model transport equation ...
LIF: Leaky integrate-and-fire ISI: Interspike interval SDE: Stochastic differential equation PDE: Partial differential equation 1 Introduction Information processing in the nervous system is carried out by spike timings in neurons. To study the neural code in such a complicated system, a first step...
This study introduces a new Generalized Leaky Integrate-and-Fire (GLIF) neuron model. Unlike Normal Leaky Integrate-and-Fire (NLIF) models, the leaking resistor in the GLIF model equation is assumed to be variable, and an additional term would have the bias current added to the model equation...
LIF: Leaky integrate-and-fire ISI: Interspike interval SDE: Stochastic differential equation PDE: Partial differential equation 1 Introduction Information processing in the nervous system is carried out by spike timings in neurons. To study the neural code in such a complicated system, a first step...
We present a general method for the analysis of the discharge trains of periodically forced noisy leaky integrate-and-fire neuron models. This approach relies on the iterations of a stochastic phase transition operator that generalizes the phase transition function used for the study of periodically ...
Fig. 2: A Quantum Leaky Integrate-and-Fire (QLIF) neuron processing input spike stimuli. Spikes to the excited state population are modelled through rotation gates (RX). The lack of a spike is processed as a delay gate (Δ), during which the qubit does nothing for a time t, and the ...