Motif-Topology and Reward-Learning Improved Spiking Neural Network for Efficient Multi-Sensory Integration
Author:
Affiliation:
1. Chinese Academy of Sciences,Institute of Automation,China
Funder
Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746157.pdf?arnumber=9746157
Reference25 articles.
1. Behavioral Indices of Multisensory Integration: Orientation to Visual Cues is Affected by Auditory Stimuli
2. Information Processing Architecture of Functionally Defined Clusters in the Macaque Cortex
3. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
4. Training Deep Spiking Neural Networks Using Backpropagation
5. Error-backpropagation in temporally encoded networks of spiking neurons
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2. MI-MAMI: Multisensory Integration Model Inspired by the Macro and Micro Mechanisms of the Human Brain;2023 International Conference on Neuromorphic Computing (ICNC);2023-12-15
3. Learning Spiking Neural Network from Easy to Hard Task;2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS);2023-11-10
4. Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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