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Cristina Savin
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2020 – today
- 2024
- [j7]Colin Bredenberg, Cristina Savin:
Desiderata for Normative Models of Synaptic Plasticity. Neural Comput. 36(7): 1245-1285 (2024) - [c17]Benjamin Lyo, Cristina Savin:
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities. ICLR 2024 - [i8]Ralf M. Haefner, Jeffrey M. Beck, Cristina Savin, Mehrdad Salmasi, Xaq Pitkow:
How does the brain compute with probabilities? CoRR abs/2409.02709 (2024) - [i7]Xueyan Niu, Cristina Savin, Eero P. Simoncelli:
Learning predictable and robust neural representations by straightening image sequences. CoRR abs/2411.01777 (2024) - 2023
- [c16]Edoardo Balzani, Jean-Paul Noel, Pedro Herrero-Vidal
, Dora E. Angelaki, Cristina Savin:
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation. ICLR 2023 - [c15]Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie:
Formalizing locality for normative synaptic plasticity models. NeurIPS 2023 - [i6]Gauthier Boeshertz, Caroline Haimerl
Task adaption by biologically inspired stochastic comodulation. CoRR abs/2311.15053 (2023) - 2022
- [i5]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - 2021
- [c14]Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli, Cristina Savin:
Impression learning: Online representation learning with synaptic plasticity. NeurIPS 2021: 11717-11729 - [c13]Camille E. Rullán Buxó, Cristina Savin:
A sampling-based circuit for optimal decision making. NeurIPS 2021: 14163-14175 - [c12]Pedro Herrero-Vidal, Dmitry Rinberg, Cristina Savin:
Across-animal odor decoding by probabilistic manifold alignment. NeurIPS 2021: 20360-20372 - [i4]Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho:
Online hyperparameter optimization by real-time recurrent learning. CoRR abs/2102.07813 (2021) - [i3]Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes:
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR abs/2105.05382 (2021) - 2020
- [j6]Owen Marschall, Kyunghyun Cho, Cristina Savin:
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. J. Mach. Learn. Res. 21: 135:1-135:34 (2020) - [c11]Edoardo Balzani, Kaushik J. Lakshminarasimhan, Dora E. Angelaki, Cristina Savin:
Efficient estimation of neural tuning during naturalistic behavior. NeurIPS 2020 - [c10]Colin Bredenberg, Eero P. Simoncelli, Cristina Savin:
Learning efficient task-dependent representations with synaptic plasticity. NeurIPS 2020
2010 – 2019
- 2019
- [c9]Caroline Haimerl, Cristina Savin, Eero P. Simoncelli
Flexible information routing in neural populations through stochastic comodulation. NeurIPS 2019: 14379-14388 - [i2]Owen Marschall, Kyunghyun Cho, Cristina Savin:
Using local plasticity rules to train recurrent neural networks. CoRR abs/1905.12100 (2019) - [i1]Owen Marschall, Kyunghyun Cho, Cristina Savin:
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. CoRR abs/1907.02649 (2019) - 2016
- [c8]Cristina Savin, Gasper Tkacik:
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods. NIPS 2016: 3603-3611 - [c7]Travis Monk, Cristina Savin, Jörg Lücke:
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. NIPS 2016: 4278-4286 - 2015
- [j5]Matthieu Gilson
Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers Comput. Neurosci. 9: 145 (2015) - [c6]Cristina Savin:
Embedding Sectorial Models in an Integrated Platform for Assessing Climate Change Impacts. EMS 2015: 37-42 - 2014
- [j4]Cristina Savin
Emergence of task-dependent representations in working memory circuits. Frontiers Comput. Neurosci. 8: 57 (2014) - [j3]Cristina Savin
Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. PLoS Comput. Biol. 10(2) (2014) - [c5]Cristina Savin, Sophie Denève:
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks. NIPS 2014: 2024-2032 - 2013
- [c4]Cristina Savin, Peter Dayan, Máté Lengyel:
Correlations strike back (again): the case of associative memory retrieval. NIPS 2013: 288-296 - 2012
- [j2]Christian Keck, Cristina Savin
Feedforward Inhibition and Synaptic Scaling - Two Sides of the Same Coin? PLoS Comput. Biol. 8(3) (2012) - 2011
- [c3]Cristina Savin, Peter Dayan, Máté Lengyel:
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. NIPS 2011: 1305-1313 - 2010
- [b1]Cristina Savin:
Homeostatic plasticity - computational and clinical implications. Goethe University Frankfurt am Main, 2010, pp. 1-125 - [j1]Cristina Savin
Independent Component Analysis in Spiking Neurons. PLoS Comput. Biol. 6(4) (2010)
2000 – 2009
- 2009
- [c2]Felipe Gerhard, Cristina Savin, Jochen Triesch:
A robust biologically plausible implementation of ICA-like learning. ESANN 2009 - 2007
- [c1]Rodica Potolea, Camelia Vidrighin Bratu, Cristina Savin
ProICET - A Cost-Sensitive System for the Medical Domain. ICNC (2) 2007: 338-342
Coauthor Index
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