Savin, Cristina

20 publications

NeurIPS 2025 Error Forcing in Recurrent Neural Networks A Erdem Sağtekin, Colin Bredenberg, Cristina Savin
ICLR 2025 Nonlinear Multiregion Neural Dynamics with Parametric Impulse Response Communication Channels Matthew Dowling, Cristina Savin
ICLR 2024 Complex Priors and Flexible Inference in Recurrent Circuits with Dendritic Nonlinearities Benjamin S. H. Lyo, Cristina Savin
NeurIPS 2024 Learning Predictable and Robust Neural Representations by Straightening Image Sequences Xueyan Niu, Cristina Savin, Eero P. Simoncelli
ICLR 2023 A Probabilistic Framework for Task-Aligned Intra- and Inter-Area Neural Manifold Estimation Edoardo Balzani, Jean-Paul G Noel, Pedro Herrero-Vidal, Dora E Angelaki, Cristina Savin
NeurIPS 2023 Formalizing Locality for Normative Synaptic Plasticity Models Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake Richards, Guillaume Lajoie
NeurIPSW 2022 Fine-Tuning Hierarchical Circuits Through Learned Stochastic Co-Modulation Caroline Haimerl, Eero P Simoncelli, Cristina Savin
NeurIPS 2021 A Sampling-Based Circuit for Optimal Decision Making Camille Rullán Buxó, Cristina Savin
NeurIPS 2021 Across-Animal Odor Decoding by Probabilistic Manifold Alignment Pedro Herrero-Vidal, Dmitry Rinberg, Cristina Savin
NeurIPS 2021 Impression Learning: Online Representation Learning with Synaptic Plasticity Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli, Cristina Savin
JMLR 2020 A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Owen Marschall, Kyunghyun Cho, Cristina Savin
NeurIPS 2020 Efficient Estimation of Neural Tuning During Naturalistic Behavior Edoardo Balzani, Kaushik Lakshminarasimhan, Dora Angelaki, Cristina Savin
NeurIPS 2020 Learning Efficient Task-Dependent Representations with Synaptic Plasticity Colin Bredenberg, Eero P. Simoncelli, Cristina Savin
NeurIPSW 2019 Evaluating Biological Plausibility of Learning Algorithms the Lazy Way Owen Marschall, Kyunghyun Cho, Cristina Savin
NeurIPS 2019 Flexible Information Routing in Neural Populations Through Stochastic Comodulation Caroline Haimerl, Cristina Savin, Eero Simoncelli
NeurIPS 2016 Estimating Nonlinear Neural Response Functions Using GP Priors and Kronecker Methods Cristina Savin, Gasper Tkacik
NeurIPS 2016 Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics Travis Monk, Cristina Savin, Jörg Lücke
NeurIPS 2014 Spatio-Temporal Representations of Uncertainty in Spiking Neural Networks Cristina Savin, Sophie Denève
NeurIPS 2013 Correlations Strike Back (again): The Case of Associative Memory Retrieval Cristina Savin, Peter Dayan, Mate Lengyel
NeurIPS 2011 Two Is Better than One: Distinct Roles for Familiarity and Recollection in Retrieving Palimpsest Memories Cristina Savin, Peter Dayan, Máté Lengyel