Week 8 reading

Reviews (relevant to all videos)

• Frenkel et al. (2023) “Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence”
• Schuman et al. (2017) “A Survey of Neuromorphic Computing and Neural Networks in Hardware”
• Indiveri and Liu (2015) “Memory and information processing in neuromorphic systems”
• Christensen et al. (2022) “2022 roadmap on neuromorphic computing and engineering”

Introduction

• Mittal (2016) “A Survey of Techniques for Approximate Computing”

Computing

• Bartolozzi and Indiveri (2007) “Synaptic Dynamics in Analog VLSI”

Sensing

• Vanarse et al. (2016) “A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors”
• Prophesee
• Schuman et al. (2022) “Evolutionary vs imitation learning for neuromorphic control at the edge”