Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks

Author:

Rubino Arianna1,Cartiglia Matteo1,Payvand Melika1,Indiveri Giacomo1

Affiliation:

1. University of Zurich and ETH Zurich,Institute of Neuroinformatics

Funder

European Research Council

Publisher

IEEE

Reference25 articles.

1. A vlsi recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory

2. Neuromorphic bistable VLSI synapses with spike-timing-dependent plasticity;indiveri;Advances in Neural Information Processing Systems (NIPS),2003

3. Rate and pulse based plasticity governed by local synaptic state variables

4. Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI

5. Stochastic dendrites enable online learning in mixed-signal neu-romorphic processing systems;cartiglia;IEEE International Symposium on Circuits and Systems (ISCAS),2022

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