MEMORY
Savin, C. Dayan, P. and Lengyel, M. Optimal neural circuit for memory recall unifies conflicting views on recognition memory.
Savin, C., Dayan, P. and Lengyel, M. Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories, Advances in Neural Information Processing Systems 24, 1305-1313, 2011.
LEARNING, PLASTICITY
Marschall, O. Savin, C. Probing learning through the lens of changes in circuit dynamics, bioRxiv, doi: https://doi.org/10.1101/2023.09.13.557585, 2023.
Bredenberg, E., Williams, E., Savin, C., Richards, B., and Lajoie, G. Formalizing and operationalizing locality for normative plasticity models, Advances In Neural Information Systems, 2023
Bredenberg, E. and Savin, C. Desiderata for normative models of synaptic plasticity, preprint on arXiv: https://arxiv.org/abs/2308.04988, 2023.
Hocker, D., Constantinopole, C.† and Savin, C.† Curriculum learning inspired by behavioral shaping optimally trains neural networks on complex tasks, 2023 .
Zador et al, Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution, Nature Communications, 2023.
Marschall, O. Savin, C. Probing learning through the lens of changes in circuit dynamics, bioRxiv, doi: https://doi.org/10.1101/2023.09.13.557585, 2023.
Bredenberg, Savin, C*., and Kiani, R.* , Recurrent neural circuits overcome partial inactivation by compensation and re-learning, bioarxiv doi: https://doi.org/10.1101/2021.11.12.4682732021, *equal contribution.
Bredenberg, C., Lyo, B.S.H. Simoncelli, E.P. and Savin, C. Impression learning: Online representation learning with synaptic plasticity, NeurIPS 2021.
STOCHASTICITY FOR COMPUTATION
Rullan, C, Savin, C. A sampling-based circuit for optimal decision making, NeurIPS 2021.
Bredenberg, C., Lyo, B.S.H. Simoncelli, E.P. and Savin, C. Impression learning: Online representation learning with synaptic plasticity, NeurIPS 2021.
Haimerl, C. , Ruff, D.A., Cohen, M.R., Savin, C.*, and Simoncelli, E.P.* Targeted comodulation supports flexible and accurate decoding in V1, biorxiv, doi: https://doi.org/10.1101/2021.02.23.432351, Nature Communications, 2023.
Savin, C. Neural representations of uncertainty: the right tool for the right job.
Boeshertz, G., Haimerl, C. and Savin, C. Task adaptation by biologically inspired stochastic comodulation, 2023.
Savin, C.*, Stanciu, O.*, Chiu, C.Q., Lengyel, M** and Fiser, J.** Visual experience fine-tunes the matching of spontaneous and evoked activity during development.
Fiser, J., Lengyel, M. Savin, C., Orban, G. and Berkes, P. How (not) to assess the importance of correlations for the matching of spontaneous and stimulus evoked activity, arXiv 1301.6554 and associated Letter to the Editor in J. Neurosci., 2013.
DATA ANALYSIS
Balzani, E., Noel, J.P., Angelaki, D. and Savin, C. A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation, ICLR 2023.
Noel, JP.*, Balzani, E.*, Savin, C.†, and Angelaki, D.† Context-invariant beliefs are supported by dynamic reconfiguration of single unit functional connectivity in prefrontal cortex, doi: https://doi.org/10.1101/2023.07.30.551169, bioRxiv, 2023 .
Hocker, D., Brody, C., Savin, C.* and Constantinopole, C.* Subpopulations of neurons in lOFC encode previous and current rewards at time of choice, Elife, 2021, also on bioarxiv, doi: https://doi.org/10.1101/2021.05.06.442972.
Nardini, M, Tkacik, G, Csicsvari J, and Savin, C. The structure of noise correlations in CA1 and its importance for spatial coding across experience, doi: https://doi.org/10.1101/2021.09.28.460602, J. Neuroscience, 2023.
Noel, JP.*, Balzani, E.*, Avila E.*, Lakshminarasimhan, K.J., Bruni, S., Alefantis, P., Savin, C.†, and Angelaki, D.† Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation eLife 11:e80280, 2022. doi: https://doi.org/10.7554/eLife.80280 .
The organization of the material is tentative, as some publications may not fit neatly in one of the main categories. Markings distinguish between mainly computational/theoretical neuroscience work and data analysis . Working papers are marked by Github code links Suppl. Info.
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