Pedro J. Gonçalves

All papers authored by Pedro J. Gonçalves

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2023 Clara Caenepeel, Gwen Falony, Kathleen Machiels, Bram Verstockt, Pedro J. Goncalves

, Marc Ferrante, João Sabino, Jeroen Raes, Sara Vieira-Silva, Séverine Vermeire

Dysbiosis and associated stool features improve prediction of response to biological therapy in inflammatory bowel disease

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Basile Confavreux, Poornima Ramesh, Pedro J. Goncalves

, Jakob H. Macke, Tim P. Vogels

Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference

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This paper is made freely available by the publisher.

2022 Michael Deistler

, Jakob H. Macke

, Pedro J. Gonçalves

Energy-efficient network activity from disparate circuit parameters

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Nuno Calaim

, Florian A. Dehmelt

, Pedro J. Gonçalves

, Christian K. Machens

The geometry of robustness in spiking neural networks

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Michael Deistler, Pedro J. Goncalves

, Jakob H. Macke

Truncated proposals for scalable and hassle-free simulation-based inference

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Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Álvaro Tejero-Cantero, David S. Greenberg, Pedro J. Goncalves

, Jakob H. Macke

GATSBI: Generative Adversarial Training for Simulation-Based Inference

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2021 Andres Flores-Valle, Pedro J. Gonçalves

, Johannes D. Seelig

Integration of sleep homeostasis and navigation in Drosophila

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Verónica Lloréns-Rico

, Sara Vieira-Silva

, Pedro J. Gonçalves

, Gwen Falony

, Jeroen Raes

Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases

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Jan-Matthis Lueckmann, Jan Boelts, David Greenberg, Pedro Goncalves

, Jakob Macke

Benchmarking Simulation-Based Inference

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2020 Tina Gothner, Pedro J. Gonçalves

, Maneesh Sahani, Jennifer F. Linden, K. Jannis Hildebrandt

Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli

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Pedro J. Gonçalves

, Jan-Matthis Lueckmann

, Michael Deistler

, Marcel Nonnenmacher, Kaan Öcal

, Giacomo Bassetto, Chaitanya Chintaluri

, William F. Podlaski

, Sara A. Haddad

, Tim P. Vogels, David S. Greenberg, Jakob H. Macke

Training deep neural density estimators to identify mechanistic models of neural dynamics

Download from cdn.elifesciences.org

Alvaro Tejero-Cantero

, Jan Boelts

, Michael Deistler

, Jan-Matthis Lueckmann

, Conor Durkan

, Pedro Gonçalves

, David Greenberg

, Jakob Macke

sbi: A toolkit for simulation-based inference

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2017 Jan-Matthis Lueckmann, Pedro J. Goncalves

, Giacomo Bassetto, Kaan Öcal, Marcel Nonnenmacher, Jakob H. Macke

Flexible statistical inference for mechanistic models of neural dynamics

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All papers authored by Pedro J. Gonçalves