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Pedro J. Goncalves
Pedro J. Goncalves
Verified email at uni-tuebingen.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, ...
Advances in neural information processing systems 30, 2017
1102017
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
69*2020
SBI--A toolkit for simulation-based inference
A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ...
arXiv preprint arXiv:2007.09114, 2020
542020
Benchmarking simulation-based inference
JM Lueckmann, J Boelts, D Greenberg, P Goncalves, J Macke
International Conference on Artificial Intelligence and Statistics, 343-351, 2021
322021
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
262014
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
172021
The geometry of robustness in spiking neural networks
N Calaim, FA Dehmelt, PJ Gonçalves, CK Machens
eLife 11, e73276, 2022
4*2022
Integration of sleep homeostasis and navigation in Drosophila
A Flores-Valle, PJ Gonçalves, JD Seelig
PLoS Computational Biology 17 (7), e1009088, 2021
4*2021
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
32021
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
32018
A neural circuit model of the oculomotor integrator: theory for optogenetic dissection
P Gonçalves
Université Pierre et Marie Curie, 2012
32012
Comparing neural simulations by neural density estimation
J Boelts, JM Lueckmann, PJ Goncalves, H Sprekeler, JH Macke
2019 Conference on Cognitive Computational Neuroscience, 1289-1299, 0
2
GATSBI: Generative Adversarial Training for Simulation-Based Inference
P Ramesh, JM Lueckmann, J Boelts, Á Tejero-Cantero, DS Greenberg, ...
arXiv preprint arXiv:2203.06481, 2022
12022
Energy efficient network activity from disparate circuit parameters
M Deistler, JH Macke, PJ Gonçalves
bioRxiv, 2021.07. 30.454484, 2021
1*2021
Amortised inference for mechanistic models of neural dynamics
JM Lueckmann, PJ Gonçalves, C Chintaluri, WF Podlaski, G Bassetto, ...
Computational and Systems Neuroscience (Cosyne) 2019, 108, 2019
12019
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
12018
Model selection via neural density estimation
J Boelts, JM Lueckmann, P Goncalves, H Sprekeler, JH Macke
Conference in Cognitive Computing 2018, Hannover, 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
Geometric interpretation of robustness in spike coding networks
N Calaim, FA Dehmelt, PJ Gonçalves, 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
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Articles 1–20