Research

I am a senior postdoc with Benjamin Grewe at the Institute of Neuroinformatics, ETH Zurich.

Previously, from 2015 to 2018, I was a postdoc with Walter Senn at the University of Bern. Together with Yoshua Bengio (Université de Montréal) we developed a model for error backpropagation in cortex.

I received my PhD in computer science from IST (University of Lisbon, 2014) where I studied neural network models of memory with Andreas Wichert. Still at IST, in 2015, I was awarded a short research fellowship to work with Francisco C Santos. During this period I collaborated with Mark van Rossum (University of Edinburgh) on synaptic plasticity rules and single neuron memory capacity.

Recent work/forthcoming

Llera M, Sacramento J, Costa RP (2019). Computational roles of plastic probabilistic synapses.
Current Opinion in Neurobiology 54:90-97
[ abstract and pdf ]
Cortical backprop Sacramento J, Costa RP, Bengio Y, Senn W (2018). Dendritic cortical microcircuits approximate the backpropagation algorithm.
NIPS 2018 (forthcoming)
Accepted for oral presentation
Sacramento J, Costa RP, Bengio Y, Senn W (2017). Dendritic error backpropagation in deep cortical microcircuits.
Preprint: arXiv:1801.00062
[ abstract and pdf ]

Publications

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 ]
Bengio Y, Scellier B, Bilaniuk O, Sacramento J, Senn W (2016). Feedforward Initialization for fast inference of deep generative networks is biologically plausible.
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 ]

Past invited talks

Dendritic error backpropagation in deep cortical microcircuits (May 2018).
Oxford Neurotheory Forum, University of Oxford, UK.
Learning with imbalanced plasticity and the information vs. efficiency dilemma (November 2013).
Invited talk, Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK.
Synaptic capacities for recognition memory (April 2012).
Invited talk, Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK.

Teaching

In the past I served as a teaching assistant at the Department of Computer Science and Engineering of IST, where I lectured practical classes on computer programming and basic algorithms.