There seemed to be increasing numbers of cognitive and neuoscience related papers presented at NeurIPS (Neural Information Processing), a welcoming sign! Here are some from NeurIPS2019. Please let me know if you find some interesting ones missing.
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes Gunpil Hwang, Seohyeon Kim, Hyeon-Min Bae
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference Cole Hurwitz, Kai Xu, Akash Srivastava, Alessio Buccino, Matthias Hennig
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces Yu Qi, Bin Liu, Yueming Wang, Gang Pan
Nonlinear scaling of resource allocation in sensory bottlenecks Laura Rose Edmondson, Alejandro Jimenez Rodriguez, Hannes P. Saal
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen Baccus, Surya Ganguli
A coupled autoencoder approach for multi-modal analysis of cell types Rohan Gala, Nathan Gouwens, Zizhen Yao, Agata Budzillo, Osnat Penn, Bosiljka Tasic, Gabe Murphy, Hongkui Zeng, Uygar Sümbül
Learning from brains how to regularize machines Zhe Li, Wieland Brendel, Edgar Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian Sinz, Zachary Pitkow, Andreas Tolias
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models Ruoxi Sun, Scott Linderman, Ian Kinsella, Liam Paninski
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib Majaj, Rishi Rajalingham, Elias Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. Yamins, James J. DiCarlo
Inducing brain-relevant bias in natural language processing models Dan Schwartz, Mariya Toneva, Leila Wehbe
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain) Mariya Toneva, Leila Wehbe
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity Aria Wang, Michael Tarr, Leila Wehbe
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data Mohammad Reza Keshtkaran, Chethan Pandarinath
NeurIPS2020 will be in Vancouver, Canada.
