ProICET - A Cost-Sensitive System for the Medical Domain. - Rodica Potolea; Camelia Vidrighin Bratu; Cristina Savin (ICNC (2), 2007)

A robust biologically plausible implementation of ICA-like learning. - Felipe Gerhard; Cristina Savin; Jochen Triesch (ESANN, 2009)

Independent Component Analysis in Spiking Neurons. - Cristina Savin; Prashant Joshi; Jochen Triesch (PLoS Comput. Biol., 2010)

Homeostatic plasticity - computational and clinical implications. - Cristina Savin (2010)

Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. - Cristina Savin; Peter Dayan; Máté Lengyel (NIPS, 2011)

Feedforward Inhibition and Synaptic Scaling - Two Sides of the Same Coin? - Christian Keck; Cristina Savin; Jörg Lücke (PLoS Comput. Biol., 2012)

Correlations strike back (again): the case of associative memory retrieval. - Cristina Savin; Peter Dayan; Máté Lengyel (NIPS, 2013)

Spatio-temporal Representations of Uncertainty in Spiking Neural Networks. - Cristina Savin; Sophie Denève (NIPS, 2014)

Emergence of task-dependent representations in working memory circuits. - Cristina Savin; Jochen Triesch (Frontiers Comput. Neurosci., 2014)

Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. - Cristina Savin; Peter Dayan; Máté Lengyel (PLoS Comput. Biol., 2014)

Embedding Sectorial Models in an Integrated Platform for Assessing Climate Change Impacts. - Cristina Savin (EMS, 2015)

Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. - Matthieu Gilson; Cristina Savin; Friedemann Zenke (Frontiers Comput. Neurosci., 2015)

Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. - Travis Monk; Cristina Savin; Jörg Lücke (NIPS, 2016)

Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods. - Cristina Savin; Gasper Tkacik (NIPS, 2016)

Flexible information routing in neural populations through stochastic comodulation. - Caroline Haimerl; Cristina Savin; Eero P. Simoncelli (NeurIPS, 2019)

Using local plasticity rules to train recurrent neural networks. - Owen Marschall; Kyunghyun Cho; Cristina Savin (CoRR, 2019)

Efficient estimation of neural tuning during naturalistic behavior. - Edoardo Balzani; Kaushik J. Lakshminarasimhan; Dora E. Angelaki; Cristina Savin (NeurIPS, 2020)

Learning efficient task-dependent representations with synaptic plasticity. - Colin Bredenberg; Eero P. Simoncelli; Cristina Savin (NeurIPS, 2020)

A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. - Owen Marschall; Kyunghyun Cho; Cristina Savin (J. Mach. Learn. Res., 2020)

Impression learning: Online representation learning with synaptic plasticity. - Colin Bredenberg; Benjamin Lyo; Eero P. Simoncelli; Cristina Savin (NeurIPS, 2021)

A sampling-based circuit for optimal decision making. - Camille E. Rullán Buxó; Cristina Savin (NeurIPS, 2021)

Across-animal odor decoding by probabilistic manifold alignment. - Pedro Herrero-Vidal; Dmitry Rinberg; Cristina Savin (NeurIPS, 2021)

Online hyperparameter optimization by real-time recurrent learning. - Daniel Jiwoong Im; Cristina Savin; Kyunghyun Cho (CoRR, 2021)

CCN GAC Workshop: Issues with learning in biological recurrent neural networks. - Luke Y. Prince; Ellen Boven; Roy Henha Eyono; Arna Ghosh; Joe Pemberton; Franz Scherr; Claudia Clopath; Rui Ponte Costa; Wolfgang Maass 001; Blake A. Richards; Cristina Savin; Katharina Anna Wilmes (CoRR, 2021)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)

A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation. - Edoardo Balzani; Jean-Paul Noel; Pedro Herrero-Vidal; Dora E. Angelaki; Cristina Savin (ICLR, 2023)

Formalizing locality for normative synaptic plasticity models. - Colin Bredenberg; Ezekiel Williams; Cristina Savin; Blake A. Richards; Guillaume Lajoie (NeurIPS, 2023)

Task adaption by biologically inspired stochastic comodulation. - Gauthier Boeshertz; Caroline Haimerl; Cristina Savin (CoRR, 2023)

Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities. - Benjamin Lyo; Cristina Savin (ICLR, 2024)

Learning predictable and robust neural representations by straightening image sequences. - Xueyan Niu 002; Cristina Savin; Eero P. Simoncelli (NeurIPS, 2024)

How does the brain compute with probabilities? - Ralf M. Haefner; Jeffrey M. Beck; Cristina Savin; Mehrdad Salmasi; Xaq Pitkow (CoRR, 2024)

Desiderata for Normative Models of Synaptic Plasticity. - Colin Bredenberg; Cristina Savin (Neural Comput., 2024)

Nonlinear multiregion neural dynamics with parametric impulse response communication channels. - Matthew Dowling; Cristina Savin (ICLR, 2025)