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ORCIDCristina 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 - [i7]Ralf M. Haefner, Jeffrey M. Beck, Cristina Savin, Mehrdad Salmasi, Xaq Pitkow:
How does the brain compute with probabilities? CoRR abs/2409.02709 (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, Cristina Savin:
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, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
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, Cristina Savin, Friedemann Zenke:
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, Jochen Triesch:
Emergence of task-dependent representations in working memory circuits. Frontiers Comput. Neurosci. 8: 57 (2014) - [j3]Cristina Savin, Peter Dayan, Máté Lengyel:
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, Jörg Lücke:
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, Prashant Joshi, Jochen Triesch:
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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