首页|Paris-Saclay University Reports Findings in Neural Computation (A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptiv e Quadratic Integrateand- Fire Neuron Models)
Paris-Saclay University Reports Findings in Neural Computation (A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptiv e Quadratic Integrateand- Fire Neuron Models)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Computation - Neural C omputation is the subject of a report. According to news reporting from Saclay, France, by NewsRx journalists, research stated, “Mean-field models are a class o f models used in computational neuroscience to study the behavior of large popul ations of neurons. These models are based on the idea of representing the activi ty of a large number of neurons as the average behavior of mean-field variables. ” The news correspondents obtained a quote from the research from Paris-Saclay Uni versity, “This abstraction allows the study of large-scale neural dynamics in a computationally efficient and mathematically tractable manner. One of these meth ods, based on a semianalytical approach, has previously been applied to differen t types of singleneuron models, but never to models based on a quadratic form. I n this work, we adapted this method to quadratic integrate-and-fire neuron model s with adaptation and conductancebased synaptic interactions. We validated the mean-field model by comparing it to the spiking network model.”
SaclayFranceEuropeComputationEme rging TechnologiesIntegrate-and-fire NeuronMachine LearningNeural Computat ion
NETL
NSTL
