Skip to content

Accelerating Research on Neuromorphic Perception, Action, and Cognition

Header Right Sidebar Widget Area

Menu

Primary menu

  • HOME
  • PARTICIPANTS
  • ACTIVITIES
  • FELLOWSHIPS
  • SEMINARS
  • COMMUNITY RESOURCES
    • Events
    • Resources and Tools
    • News and Blogs
    • Videos
    • Books
    • Jobs
    • World Map
  • CONTACT US

Trading Off Performance and Energy in Spiking Networks | Sander Keemink | 2022


Posted on 5 March, 2023
Featured Week 3, Generic introduction, SNUFA Seminars 2022
energy, networks, performance, Radboud University, Sander Keemink, spiking, trading
5 views

You may also like

From the lab to the real world: event-based vision evolves as a commercial force | Luca Verre | 2021
From the lab to the real world: event-based vision...
14 views
Event Computer Vision 10 years Assessment | Ryad Benosman | 2021
Event Computer Vision 10 years Assessment | Ryad Benosman...
8 views
Roadmap on Neuromorphic Computing and Engineering
Roadmap on Neuromorphic Computing and Engineering
6 views
Neural Engineering (Building Large-Scale Cognitive Models of the Brain) - Terry Stewart
1:32:07
Neural Engineering (Building Large-Scale Cognitive...
4 views
Applications, Software and Hardware for Event-Based Vision | Kynan Eng | 2019
Applications, Software and Hardware for Event-Based...
4 views
12…8»

Page 1 of 8

This entry was posted by Nikhil Garg. Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

*

Post navigation

← Previous Previous post: Optimal initialization strategies for Deep Spiking Neural Networks | Julia Gygax | 2021
Next → Next post: Introducing dendritic computations to SNNs with Dendrify | Michalis Pagkalos | 2022
Copyright © 2023 | Privacy Policy | All Rights Reserved.
Found a broken link or or other problem? Contact us!
Scroll Up