Spiking Activity of a LIF Neuron in Distributed Delay Framework

Spiking Activity of a LIF Neuron in Distributed Delay Framework

network of phonological rules in lori dialect of andimeshk: a study within the framework of post-generative approach.

پژوهش حاضر ارائه ی توصیفی است از نظام آوایی گویش لری شهر اندیمشک، واقع در شمال غربی استان خوزستان. چهارچوب نظری این پژوهش، انگاره ی پسازایشی جزءمستقل می باشد. این پایان نامه شامل موارد زیر است: -توصیف آواهای این گویش به صورت آواشناسی سنتی و در قالب مختصه های زایشی ممیز، همراه با آوانوشته ی تفصیلی؛ -توصیف نظام آوایی گویش لری و قواعد واجی آن در چهارچوب انگاره ی پسازایشی جزءمستقل و معرفی برهم کن...

Information through a Spiking Neuron

While it is generally agreed that neurons transmit information about their synaptic inputs through spike trains, the code by which this information is transmitted is not well understood. An upper bound on the information encoded is obtained by hypothesizing that the precise timing of each spike conveys information. Here we develop a general approach to quantifying the information carried by spi...

Spiking Neuron Networks a Survey

Spiking Neuron Networks (SNNs) are often referred to as the 3 generation of neural networks. They derive their strength and interest from an accurate modelling of synaptic interactions between neurons, taking into account the time of spike emission. SNNs overcome the computational power of neural networks made of threshold or sigmoidal units. Based on dynamic event-driven processing, they open ...

Spiking Deep Networks with LIF Neurons

We train spiking deep networks using leaky integrate-and-fire (LIF) neurons, and achieve state-of-the-art results for spiking networks on the CIFAR-10 and MNIST datasets. This demonstrates that biologically-plausible spiking LIF neurons can be integrated into deep networks can perform as well as other spiking models (e.g. integrate-and-fire). We achieved this result by softening the LIF respons...