Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Spiking Neural Networks
This chapter explores the challenges and potential solutions in training spiking neural networks, particularly focusing on gradient issues and the promise of neuromorphic hardware. It discusses the complexity of neural architectures, drawing parallels between biological systems and artificial networks, while highlighting an upcoming event related to mapping brain circuits.
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