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25 Publications


2023 | Conference Paper | IST-REx-ID: 14993 | OA
A framework for grassroots research collaboration in machine learning and global health
C. Currin, M.N. Asiedu , C. Fourie, B. Rosman, H. Turki, A. Lambebo Tonja, J. Abbott, M. Ajala, S.A. Adedayo, C.C. Emezue, D. Machangara, in:, 1st Workshop on Machine Learning & Global Health, OpenReview, 2023.
[Published Version] View | Download Published Version (ext.)
 

2022 | Conference Paper | IST-REx-ID: 13239 | OA
Predictive learning enables neural networks to learn complex working memory tasks
T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531.
[Published Version] View | Files available
 

2022 | Journal Article | IST-REx-ID: 11143 | OA
Developmentally regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome
K. Kaneko, C. Currin, K.M. Goff, E.R. Wengert, A. Somarowthu, T.P. Vogels, E.M. Goldberg, Cell Reports 38 (2022).
[Published Version] View | Files available | DOI | WoS
 

2022 | Journal Article | IST-REx-ID: 12009 | OA
Developmental depression-to-facilitation shift controls excitation-inhibition balance
D.W. Jia, T.P. Vogels, R.P. Costa, Communications Biology 5 (2022).
[Published Version] View | Files available | DOI | WoS
 

2022 | Journal Article | IST-REx-ID: 12084 | OA
Regimes and mechanisms of transient amplification in abstract and biological neural networks
G. Christodoulou, T.P. Vogels, E.J. Agnes, PLoS Computational Biology 18 (2022).
[Published Version] View | Files available | DOI | WoS
 

2022 | Journal Article | IST-REx-ID: 12225 | OA
Depolarization of echo chambers by random dynamical nudge
C. Currin, S.V. Vera, A. Khaledi-Nasab, Scientific Reports 12 (2022).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2022 | Journal Article | IST-REx-ID: 10753 | OA
A familiar thought: Machines that replace us?
B.J. Confavreux, T.P. Vogels, Neuron 110 (2022) 361–362.
[Published Version] View | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 

2022 | Preprint | IST-REx-ID: 8125 | OA [Preprint] View | DOI | Download Preprint (ext.)
 

2021 | Conference Paper | IST-REx-ID: 11453 | OA
Online learning of neural computations from sparse temporal feedback
L. Braun, T.P. Vogels, in:, Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 16437–16450.
[Published Version] View | Download Published Version (ext.)
 

2021 | Journal Article | IST-REx-ID: 8253 | OA [Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2021 | Journal Article | IST-REx-ID: 8757 | OA
Talking science, online
P. Bozelos, T.P. Vogels, Nature Reviews Neuroscience 22 (2021) 1–2.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2021 | Journal Article | IST-REx-ID: 9228 | OA
Towards democratizing and automating online conferences: Lessons from the Neuromatch Conferences
T. Achakulvisut, T. Ruangrong, P. Mineault, T.P. Vogels, M.A.K. Peters, P. Poirazi, C. Rozell, B. Wyble, D.F.M. Goodman, K.P. Kording, Trends in Cognitive Sciences 25 (2021) 265–268.
[Submitted Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2020 | Journal Article | IST-REx-ID: 8127 | OA
Training deep neural density estimators to identify mechanistic models of neural dynamics
P.J. Gonçalves, J.-M. Lueckmann, M. Deistler, M. Nonnenmacher, K. Öcal, G. Bassetto, C. Chintaluri, W.F. Podlaski, S.A. Haddad, T.P. Vogels, D.S. Greenberg, J.H. Macke, ELife 9 (2020).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2020 | Journal Article | IST-REx-ID: 8126 | OA
Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields
E.J. Agnes, A.I. Luppi, T.P. Vogels, The Journal of Neuroscience 40 (2020) 9634–9649.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2020 | Conference Paper | IST-REx-ID: 9633 | OA
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
B.J. Confavreux, F. Zenke, E.J. Agnes, T. Lillicrap, T.P. Vogels, in:, Advances in Neural Information Processing Systems, 2020, pp. 16398–16408.
[Published Version] View | Files available | Download Published Version (ext.)
 

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