Neuromorphic Computing and Engineering Community

Ways to Get Involved

Next Workshop

Spyx Hackathon: Speeding up Neuromorphic Computing

Spyx Hackathon: Speeding up Neuromorphic Computing

  • Kade Heckel
  • December 13, 2023
  • 6:00 - 8:00 CEST

Explore the power of Spyx in a hands-on hackathon session and dive into the world of neuromorphic frameworks with Kade Heckel.

Upcoming Workshops

Recent Workshops

Building Neuromorphic Applications Using Talamo

Building Neuromorphic Applications Using Talamo

  • George Vathakkattil Joseph, Innatera
  • October 23, 2023

This offers a sneak-peek into Innatera’s technology stack allowing application development from scratch and deploying it on mixed-signal neuromorphic hardware.

What's Catching Your Eye? The Visual Attention Mechanism

What's Catching Your Eye? The Visual Attention Mechanism

  • Giulia D'Angelo
  • September 26, 2023

Delve into the world of visual attention mechanisms with Giulia D'Angelo as she explores the interplay of bottom-up and top-down processes, offering insights into bio-inspired models for enhanced robotic perception and interaction.

From C/C++ to Dynamically Scheduled Circuits

From C/C++ to Dynamically Scheduled Circuits

  • Lana Josipović
  • July 19, 2023

Explore the journey from C/C++ to Dynamically Scheduled Circuits with Lana Josipović, an expert in high-level synthesis and reconfigurable computing. Join her recorded workshop session on innovative hardware design techniques.

Recent Posts

Spiking Neural Network (SNN) Library Benchmarks

Spiking Neural Network (SNN) Library Benchmarks

  • Gregor Lenz, Kade Heckel, Sumit Bam Shrestha, Cameron Barker

Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth

TrueNorth: A Deep Dive into IBM's Neuromorphic Chip Design

TrueNorth: A Deep Dive into IBM's Neuromorphic Chip Design

  • Fabrizio Ottati

Explore the innovative TrueNorth neuromorphic chip, its event-driven architecture, low power operation, massive parallelism, real-time capabilities, and scalable design.

Efficient Compression for Event-Based Data in Neuromorphic Applications

Efficient Compression for Event-Based Data in Neuromorphic Applications

  • Gregor Lenz, Fabrizio Ottati, Alexandre Marcireau

Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.

Digital Neuromorphic Hardware Read List

Digital Neuromorphic Hardware Read List

  • Fabrizio Ottati

Stay up-to-date with cutting-edge digital hardware designs for neuromorphic applications. Explore recent research on power-efficient event-driven spiking neural networks and state-of-the-art processors like TrueNorth and Loihi.