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).
LibreCat: https://research-explorer.ista.ac.at/record/12084
DOI: 10.1371/journal.pcbi.1010365
WoS: 000937227700001

Depolarization of echo chambers by random dynamical nudge
C. Currin, S.V. Vera, A. Khaledi-Nasab, Scientific Reports 12 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/12225
DOI: 10.1038/s41598-022-12494-w
WoS: 000805561200024
PMID: 35654942

A familiar thought: Machines that replace us?
B.J. Confavreux, T.P. Vogels, Neuron 110 (2022) 361–362.
LibreCat: https://research-explorer.ista.ac.at/record/10753
DOI: 10.1016/j.neuron.2022.01.014
WoS: 000751819100005
PMID: 35114107

High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating
W.F. Podlaski, E.J. Agnes, T.P. Vogels, BioRxiv (2022).
LibreCat: https://research-explorer.ista.ac.at/record/8125
DOI: 10.1101/2020.01.08.898528

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.
LibreCat: https://research-explorer.ista.ac.at/record/11453

The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks
F. Zenke, T.P. Vogels, Neural Computation 33 (2021) 899–925.
LibreCat: https://research-explorer.ista.ac.at/record/8253
DOI: 10.1162/neco_a_01367
WoS: 000663433900003
PMID: 33513328

Talking science, online
P. Bozelos, T.P. Vogels, Nature Reviews Neuroscience 22 (2021) 1–2.
LibreCat: https://research-explorer.ista.ac.at/record/8757
DOI: 10.1038/s41583-020-00408-6
WoS: 000588256300001
PMID: 33173190

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.
LibreCat: https://research-explorer.ista.ac.at/record/9228
DOI: 10.1016/j.tics.2021.01.007
WoS: 000627418000001
PMID: 33608214

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).
LibreCat: https://research-explorer.ista.ac.at/record/8127
DOI: 10.7554/eLife.56261
WoS: 000584989400001
PMID: 32940606

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.
LibreCat: https://research-explorer.ista.ac.at/record/8126
DOI: 10.1523/JNEUROSCI.0276-20.2020
WoS: 000606706400009
PMID: 33168622

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.
LibreCat: https://research-explorer.ista.ac.at/record/9633