A structurally precise mechanism links an epilepsy-associated KCN potassium channel mutation to interneuron dysfunction
J. Clatot, C. Currin, Q. Liang, T. Pipatpolkai, S.L. Massey, I. Helbig, L. Delemotte, T.P. Vogels, M. Covarrubias, E.M. Goldberg, Proceedings of the National Academy of Sciences of the United States of America 121 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/14841
DOI: 10.1073/pnas.2307776121
PMID: 38194456

Dynamic and selective engrams emerge with memory consolidation
D. Feitosa Tomé, Y. Zhang, T. Aida, O. Mosto, Y. Lu, M. Chen, S. Sadeh, D.S. Roy, C. Clopath, Nature Neuroscience (2024).
LibreCat: https://research-explorer.ista.ac.at/record/14887
DOI: 10.1038/s41593-023-01551-w
WoS: 001145442300001

Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks
E.J. Agnes, T.P. Vogels, Nature Neuroscience (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15171
DOI: 10.1038/s41593-024-01597-4

kCSD-python, reliable current source density estimation with quality control
C. Chintaluri, M. Bejtka, W. Sredniawa, M. Czerwinski, J.M. Dzik, J. Jedrzejewska-Szmek, D.K. Wojciki, PLoS Computational Biology 20 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15169
DOI: 10.1371/journal.pcbi.1011941

Ten simple rules for pushing boundaries of inclusion at academic events
S.M. Hall, D. Kochin, C. Carne, P. Herterich, K.L. Lewers, M. Abdelhack, A. Ramasubramanian, J.F. Michael Alphonse, V. Ung, S. El-Gebali, C. Currin, E. Plomp, R. Thompson, M. Sharan, PLOS Computational Biology 20 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15258
DOI: 10.1371/journal.pcbi.1011797
PMID: 38427633

Meta-analysis of the comparative efficacy of benzodiazepines and antidepressants for psychic versus somatic symptoms of generalized anxiety disorder
C. Beyer, C. Currin, T. Williams, D.J. Stein, Comprehensive Psychiatry 132 (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/15295
DOI: 10.1016/j.comppsych.2024.152479
PMID: 38564872

Intrinsic neural excitability biases allocation and overlap of memory engrams
G. Delamare, D. Feitosa Tomé, C. Clopath, Journal of Neuroscience 44 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/17092
DOI: 10.1523/JNEUROSCI.0846-23.2024
PMID: 38561228

Altered childhood brain development in autism and epilepsy
C. Currin, C. Beyer, in:, B. Halpern-Felsher (Ed.), Encyclopedia of Child and Adolescent Health, 1st ed., Elsevier, 2023, pp. 86–98.
LibreCat: https://research-explorer.ista.ac.at/record/12866
DOI: 10.1016/b978-0-12-818872-9.00129-1

Synapseek: Meta-learning synaptic plasticity rules
B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14422
DOI: 10.15479/at:ista:14422

Metabolically regulated spiking could serve neuronal energy homeostasis and protect from reactive oxygen species
C. Chintaluri, T.P. Vogels, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14666
DOI: 10.1073/pnas.2306525120
PMID: 37988463

douglastome/dynamic-engrams: Dynamic and selective engrams emerge with memory consolidation
D. Feitosa Tomé, (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14892
DOI: 10.5281/ZENODO.10251087

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.
LibreCat: https://research-explorer.ista.ac.at/record/14993

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.
LibreCat: https://research-explorer.ista.ac.at/record/13239

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).
LibreCat: https://research-explorer.ista.ac.at/record/11143
DOI: 10.1016/j.celrep.2022.110580
WoS: 000779794000001

Developmental depression-to-facilitation shift controls excitation-inhibition balance
D.W. Jia, T.P. Vogels, R.P. Costa, Communications Biology 5 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/12009
DOI: 10.1038/s42003-022-03801-2
WoS: 000844814800007

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