João Sacramento

Institute of Neuroinformatics
ETH Zurich
Winterthurerstrasse 190
CH-8057 Zurich
Switzerland

List of publications

A star ‘*’ denotes equal contributions.

Zucchet N*, Schug S*, von Oswald J*, Zhao D, Sacramento J (2021). A contrastive rule for meta-learning.
Preprint: arXiv:2104.01677
[ paper ]
von Oswald J*, Kobayashi S*, Sacramento J*, Meulemans A, Henning C, Grewe BF (2020). Neural networks with late-phase weights.
International Conference on Learning Representations (ICLR 2021)
[ abstract and pdf | code ]
Zhao D, von Oswald J, Kobayashi S, Sacramento J, Grewe BF (2020). Meta-learning via hypernetworks.
NeurIPS MetaLearn 2020
Accepted (forthcoming)
Meulemens A, Carzaniga FS, Suykens JAK, Sacramento J, Grewe BF (2020). A theoretical framework for target propagation.
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
Selected for spotlight presentation.
[ abstract and pdf | code ]
Richards B*, Lillicrap TP*, ..., Sacramento J, ..., Therien D*, Körding KP* (2019). A deep learning framework for neuroscience.
Nature Neuroscience 22:1761-1770
[ abstract and pdf ]
von Oswald J*, Henning C*, Sacramento J*, Grewe BF (2019). Continual learning with hypernetworks.
International Conference on Learning Representations (ICLR 2020)
Selected for spotlight presentation.
[ abstract and pdf | talk video | code ]
Llera M, Sacramento J, Costa RP (2019). Computational roles of plastic probabilistic synapses.
Current Opinion in Neurobiology 54:90-97
[ abstract and pdf ]
Sacramento J, Costa RP, Bengio Y, Senn W (2018). Dendritic cortical microcircuits approximate the backpropagation algorithm.
Advances in Neural Information Processing Systems 31 (NeurIPS 2018)
Selected for oral presentation.
[ abstract and pdf | talk video ]
Henning C*, von Oswald J*, Sacramento J, Surace SC, Pfister JP, Grewe BF (2018). Approximating the predictive distribution via adversarially-trained hypernetworks.
NeurIPS 2018 Bayesian Deep Learning Workshop (Spotlight)
[ pdf ]
Mohan H, Gallero-Salas Y, Carta S, Sacramento J, Laurenczy B, Sumanovski LT, de Kock CPJ, Helmchen F, Sachidhanandam S (2018). Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouse.
Scientific Reports 8:7739
[ abstract and pdf ]
Sacramento J, Costa RP, Bengio Y, Senn W (2017). Dendritic error backpropagation in deep cortical microcircuits.
Preprint: arXiv:1801.00062
[ abstract and pdf ]
Bengio Y, Scellier B, Bilaniuk O, Sacramento J, Senn W (2016). Feedforward Initialization for fast inference of deep generative networks is biologically plausible.
Preprint: arXiv:1606.01651
[ abstract and pdf ]
Senn W, Sacramento J (2015). Backward reasoning the formation rules.
Nature Neuroscience 18(12):1705-1706. News and Views on Lim et al. (2015).
[ abstract | pdf ]
Sacramento J, Wichert A, van Rossum MCW (2015). Energy efficient sparse connectivity from imbalanced synaptic plasticity rules.
PLOS Computational Biology 11(6):e1004265.
[ abstract and pdf ]
Rendeiro D, Sacramento J, Wichert A (2014). Taxonomical associative memory.
Cognitive Computation 6(1):45-65.
[ abstract | pdf ]
Sacramento J, Wichert A (2012). Binary Willshaw learning yields high synaptic capacity for long-term familiarity memory.
Biological Cybernetics, 106(2):123-133.
[ abstract | pdf ]
Sacramento J, Burnay F, Wichert A (2012). Regarding the temporal requirements of a hierarchical Willshaw network.
Neural Networks, 25:84-93.
[ abstract | pdf ]
Sacramento J, Wichert A (2011). Tree-like hierarchical associative memory structures.
Neural Networks, 24(2):143-147.
[ abstract | pdf ]

Conference presentations

Sacramento J, Bengio Y, Senn W (2017). Error backpropagation in cortical circuits.
5th Annual Humain Brain Project Summit, 17-20 October 2017, Glasgow, UK.
Selected for a young researcher talk.
Sacramento J, Senn W (2016). Learning based on error representations in apical dendrites of L5 pyramidal neurons.
Champalimaud Neuroscience Symposium, Lisbon, Portugal.
Selected for a talk.
Sacramento J, Senn W (2016). Dendritic functions in learning.
DENDRITES 2016, Heraklion, Crete.
Selected young researcher talk.
Sacramento J, Senn W (2016). Bayesian multisensory integration by dendrites.
COSYNE 2016, Salt Lake City, Utah, USA.
Selected for a talk.
Sacramento J, Wichert A, Santos FC, van Rossum MCW (2015). One-class learning in networks.
OCCAM 2015, Osnabrück, Germany.
Poster presentation.
Sacramento J, van Rossum MCW (2014). Imbalanced synaptic plasticity rules lead to energy efficient connectivity.
Neuroscience 2014, SfN's 44th annual meeting, Washington DC, USA.
Poster presentation.
[ abstract ]