Adding two continual learning studies in SNNs: SpikeDyn@DAC21 and lpS…

…pikeCon@IJCNN22

bibtex/Continual Learning Papers-Bioinspired Methods.bib

@@ -315,4 +315,23 @@ @article{velez2017
   annotation = {\_eprint: 1705.07241}
 }
 
+@INPROCEEDINGS{putra_dac21,
+  author={Putra, Rachmad Vidya Wicaksana and Shafique, Muhammad},
+  booktitle={2021 58th ACM/IEEE Design Automation Conference (DAC)}, 
+  title={SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments}, 
+  year={2021},
+  volume={},
+  number={},
+  pages={1057-1062},
+  doi={10.1109/DAC18074.2021.9586281}}
 
+
+@INPROCEEDINGS{putra_ijcnn22,
+  author={Putra, Rachmad Vidya Wicaksana and Shafique, Muhammad},
+  booktitle={2022 International Joint Conference on Neural Networks (IJCNN)}, 
+  title={lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents}, 
+  year={2022},
+  volume={},
+  number={},
+  pages={1-8},
+  doi={10.1109/IJCNN55064.2022.9892948}}