David Liu, Máté Lengyel. Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{LiuL23a-15, title = {Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability}, author = {David Liu and Máté Lengyel}, year = {2023}, url = {http://papers.nips.cc/paper_files/paper/2023/hash/d6db7eb6245ec0c6e45f445956994143-Abstract-Conference.html}, researchr = {https://researchr.org/publication/LiuL23a-15}, cites = {0}, citedby = {0}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, }