M34.5 CONNECT THE MECHANISM
Match event-driven computation to a scientific workload
Some cameras report only what changes, and some chips compute only when a neuron fires. Simulate a spiking neuron by hand and learn when that saves energy and when it doesn't.
LESSON OVERVIEW14 min lesson
Lesson overview
Some cameras report only what changes, and some chips compute only when a neuron fires. Simulate a spiking neuron by hand and learn when that saves energy and when it doesn't.
What you’ll explore
- Neuromorphic approaches use event-driven or biologically inspired computation for selected tasks; sensor encoding, hardware, learning method, and measured system energy determine their practical value.
GO TO THE SOURCE
Original explanations, connected to the research.
Neuronal Dynamics, chapter 1 (Gerstner, Kistler, Naud & Paninski, 2014)Event-based Vision: A Survey (Gallego et al., 2020)A 128×128 120 dB 15 μs Latency Asynchronous Temporal Contrast Vision Sensor (Lichtsteiner, Posch & Delbruck, 2008)Loihi: A Neuromorphic Manycore Processor with On-Chip Learning (Davies et al., IEEE Micro 2018)Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook (Davies et al., Proceedings of the IEEE 2021)A million spiking-neuron integrated circuit with a scalable communication network and interface (Merolla et al., Science 2014)Suggest a correction
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