Exploring Lottery Ticket Hypothesis in Spiking Neural Networks

other

Author(s): Youngeun Kim , Yuhang Li , Hyoungseob Park , Yeshwanth Venkatesha , Ruokai Yin , Priyadarshini Panda

Publication date (Online): October 23 2022

Publisher: Springer Nature Switzerland

Read this book at

Publisher

Buy book

Bookmark

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 40

Record: found
Abstract: not found
Conference Proceedings: not found

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren … (2019)

0 comments Cited 7652 times – based on 0 reviews

Bookmark

Record: found
Abstract: found
Article: not found

Simple model of spiking neurons.

E Izhikevich (2003)

A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.