Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation

Megumi Ito; Malte J. Rasch; Masatoshi Ishii; Atsuya Okazaki; Sang‐Bum Kim; Junka Okazawa; Akiyo Nomura; Kohji Hosokawa; Wilfried Haensch

doi:10.1007/978-3-030-36718-3_16

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Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation

Megumi Ito Malte J. Rasch Masatoshi Ishii Atsuya Okazaki Sang‐Bum Kim Junka Okazawa Akiyo Nomura Kohji Hosokawa Wilfried Haensch

Year: 2019 Lecture notes in computer science Pages: 185-194 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-36718-3_16

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Keywords:

Neuromorphic engineering MNIST database Computer science Backpropagation Spiking neural network Artificial neural network Scalability Artificial intelligence Computer architecture Spike (software development)

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Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Ferroelectric and Negative Capacitance Devices

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation

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