Open Neuromorphic
Join Discord (2700+ joined)

PEPITA - A Forward-Forward Alternative to Backpropagation

Explore PEPITA, a forward-forward approach as an alternative to backpropagation, presented by Giorgia Dellaferrera. Learn about its advantages and implementation with PyTorch.

Photo of Giorgia Dellaferrera Photo of Jason Eshraghian
By Giorgia Dellaferrera, Jason Eshraghian
February 14, 2023
Slides Watch on YouTube

About the Speakers

Giorgia Dellaferrera

Giorgia Dellaferrera

PhD in computational neuroscience (ETH Zurich/IBM). Researches interplay of neuroscience & AI, focusing on learning mechanisms in brains and machines.
Jason Eshraghian

Jason Eshraghian

Assistant Professor at UC Santa Cruz, leading UCSC Neuromorphic Computing Group. Focuses on brain-inspired circuits for AI & SNNs. Maintainer of snnTorch.
Social share preview for PEPITA - A Forward-Forward Alternative to Backpropagation

Upcoming Workshops

No workshops are currently scheduled. Check back soon for new events!

Are you an expert in a neuromorphic topic? We invite you to share your knowledge with our community. Hosting a workshop is a great way to engage with peers and share your work.

Present Your Work

Inspired? Share your work.

Share your expertise with the community by speaking at a workshop, student talk, or hacking hour. It’s a great way to get feedback and help others learn.

Learn How to Host Edit this page

Related Workshops

Programming Scalable Neuromorphic Algorithms with Fugu

Programming Scalable Neuromorphic Algorithms with Fugu

Explore neural-inspired computing with Brad Aimone, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.

Spyx Hackathon: Speeding up Neuromorphic Computing

Spyx Hackathon: Speeding up Neuromorphic Computing

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

Tonic: Building the PyTorch Vision of Neuromorphic Data Loading

Tonic: Building the PyTorch Vision of Neuromorphic Data Loading

Discover how Tonic provides a PyTorch-compatible framework for loading and transforming neuromorphic datasets, making event-based data as accessible as traditional computer vision datasets.