Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Author:
Affiliation:
1. University of Zurich and ETH Zurich,Institute of Neuroinformatics
Funder
European Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9948537/9948538/09948653.pdf?arnumber=9948653
Reference27 articles.
1. Communication in Neuronal Networks
2. Neuromorphic electronic systems
3. Complex brain networks: graph theoretical analysis of structural and functional systems
4. Processing EMG signals using reservoir computing on an event-based neuromorphic system
5. Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network
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1. Core Interface Optimization for Multi-core Neuromorphic Processors;2023 28th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC);2023-07-16
2. Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence;Proceedings of the IEEE;2023-06
3. Computing of neuromorphic materials: an emerging approach for bioengineering solutions;Materials Advances;2023
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