Pedro J. Goncalves
Pedro J. Goncalves
research center caesar
Verified email at caesar.de - Homepage
Title
Cited by
Cited by
Year
Flexible statistical inference for mechanistic models of neural dynamics
JM Lueckmann, PJ Goncalves, G Bassetto, K Öcal, M Nonnenmacher, ...
arXiv preprint arXiv:1711.01861, 2017
682017
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
Elife 9, e56261, 2020
232020
Optogenetic perturbations reveal the dynamics of an oculomotor integrator
PJ Gonçalves, AB Arrenberg, B Hablitzel, H Baier, CK Machens
Frontiers in neural circuits 8, 10, 2014
222014
Sbi: a toolkit for simulation-based inference
A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ...
Journal of Open Source Software 5 (52), 2505, 2020
152020
Robust coding with spiking networks: a geometric perspective
N Calaim, FA Dehmelt, PJ Gonçalves, CK Machens
bioRxiv, 2020
32020
A neural circuit model of the oculomotor integrator: theory for optogenetic dissection
P Gonçalves
Université Pierre et Marie Curie, 2012
32012
Benchmarking Simulation-Based Inference
JM Lueckmann, J Boelts, DS Greenberg, PJ Gonçalves, JH Macke
arXiv preprint arXiv:2101.04653, 2021
22021
Integration of sleep drive and navigation in Drosophila
AF Valle, PJ Goncalves, JD Seelig
bioRxiv, 2020
22020
Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli
T Gothner, PJ Gonçalves, M Sahani, JF Linden, KJ Hildebrandt
Cerebral Cortex 31 (5), 2364-2381, 2021
12021
Robust statistical inference for simulation-based models in neuroscience
M Nonnenmacher, PJ Goncalves, G Bassetto, JM Lueckmann, JH Macke
Bernstein Conference 2018, Berlin, Germany, 2018
12018
26th annual computational neuroscience meeting (CNS* 2017): part 1
S Denham, P Poirazi, E De Schutter, K Friston, HK Chan, T Nowotny, ...
BMC Neuroscience 18 (1), 1-14, 2017
12017
Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases
V Lloréns-Rico, S Vieira-Silva, PJ Gonçalves, G Falony, J Raes
Nature Communications 12 (1), 1-12, 2021
2021
Integration of sleep homeostasis and navigation in Drosophila
A Flores Valle, PJ Gonçalves, JD Seelig
bioaRxiv, 2020
2020
-- a toolkit for simulation-based inference
A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ...
arXiv preprint arXiv:2007.09114, 2020
2020
Geometric interpretation of robustness in spike coding networks
N Calaim, FA Dehmelt, P Goncalves, C Machens
Computational and Systems Neuroscience (Cosyne) 2019, 153-153, 2019
2019
A standardised formalism for voltage-gated ion channel models
C Chintaluri, WF Podlaski, PJ Goncalves, JH Macke
28th Annual Computational Neuroscience Meeting, Barcelona, Spain, 2019
2019
Amortised inference for mechanistic models of neural dynamics
JM Lueckmann, P Goncalves, C Chintaluri, WF Podlaski, G Bassetto, ...
Computational and Systems Neuroscience (Cosyne) 2019, 108, 2019
2019
Inferring the parameters of neural simulations from high-dimensional observations
M Nonnenmacher, JM Lueckmann, G Bassetto, P Goncalves, JH Macke
Computational and Systems Neuroscience (Cosyne) 2019, 138-139, 2019
2019
Flexible statistical inference for mechanistic models of neural dynamics
P Goncalves, JM Lueckmann, G Bassetto, K Oecal, M Nonnenmacher, ...
Bonn Brain 3 Conference 2018, Bonn, Germany, 2018
2018
Model selection via neural density estimation
J Boelts, JM Lueckmann, P Goncalves, H Sprekeler, JH Macke
Conference in Cognitive Computing 2018, Hannover, Germany, 2018
2018
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Articles 1–20