Frameworks for Neuromorphic computing

E Paxon Frady (Deactivated) friedrich.sommer (Deactivated)

In this session, we will discuss theoretical frameworks for building principled neuromorphic algorithms and the features that make an ideal framework for Loihi. We will discuss efforts to develop a robust and flexible system that can go beyond networks that perform just a single task. As well, we will cover how proposed frameworks might synthesize into a high-level abstraction paradigm for building general purpose algorithms.

Friedrich Sommer

Paxon Frady

Gregor Schöner

Christian Tetzlaff

Hyeryung Jang

Gregor Lenz

Link to pre-recorded material coming soon

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