Clatot J, Currin C, Liang Q, et al. A structurally precise mechanism links an epilepsy-associated KCN potassium channel mutation to interneuron dysfunction. Proceedings of the National Academy of Sciences of the United States of America. 2024;121(3). doi:10.1073/pnas.2307776121

Feitosa Tomé D, Zhang Y, Aida T, et al. Dynamic and selective engrams emerge with memory consolidation. Nature Neuroscience. 2024. doi:10.1038/s41593-023-01551-w

Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience. 2024. doi:10.1038/s41593-024-01597-4

Chintaluri C, Bejtka M, Sredniawa W, et al. kCSD-python, reliable current source density estimation with quality control. PLoS Computational Biology. 2024;20(3). doi:10.1371/journal.pcbi.1011941

Hall SM, Kochin D, Carne C, et al. Ten simple rules for pushing boundaries of inclusion at academic events. PLOS Computational Biology. 2024;20(3). doi:10.1371/journal.pcbi.1011797

Beyer C, Currin C, Williams T, Stein DJ. Meta-analysis of the comparative efficacy of benzodiazepines and antidepressants for psychic versus somatic symptoms of generalized anxiety disorder. Comprehensive Psychiatry. 132. doi:10.1016/j.comppsych.2024.152479

Currin C, Beyer C. Altered childhood brain development in autism and epilepsy. In: Halpern-Felsher B, ed. Encyclopedia of Child and Adolescent Health. 1st ed. Elsevier; 2023:86-98. doi:10.1016/b978-0-12-818872-9.00129-1

Confavreux BJ. Synapseek: Meta-learning synaptic plasticity rules. 2023. doi:10.15479/at:ista:14422

Chintaluri C, Vogels TP. Metabolically regulated spiking could serve neuronal energy homeostasis and protect from reactive oxygen species. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(48). doi:10.1073/pnas.2306525120

Feitosa Tomé D. douglastome/dynamic-engrams: Dynamic and selective engrams emerge with memory consolidation. 2023. doi:10.5281/ZENODO.10251087

Currin C, Asiedu  MN, Fourie C, et al. A framework for grassroots research collaboration in machine learning and global health. In: 1st Workshop on Machine Learning &; Global Health. OpenReview; 2023.

Van Der Plas TL, Vogels TP, Manohar SG. Predictive learning enables neural networks to learn complex working memory tasks. In: Proceedings of Machine Learning Research. Vol 199. ML Research Press; 2022:518-531.

Kaneko K, Currin C, Goff KM, et al. Developmentally regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome. Cell Reports. 2022;38(13). doi:10.1016/j.celrep.2022.110580

Jia DW, Vogels TP, Costa RP. Developmental depression-to-facilitation shift controls excitation-inhibition balance. Communications biology. 2022;5. doi:10.1038/s42003-022-03801-2

Christodoulou G, Vogels TP, Agnes EJ. Regimes and mechanisms of transient amplification in abstract and biological neural networks. PLoS Computational Biology. 2022;18(8). doi:10.1371/journal.pcbi.1010365

Currin C, Vera SV, Khaledi-Nasab A. Depolarization of echo chambers by random dynamical nudge. Scientific Reports. 2022;12. doi:10.1038/s41598-022-12494-w

Confavreux BJ, Vogels TP. A familiar thought: Machines that replace us? Neuron. 2022;110(3):361-362. doi:10.1016/j.neuron.2022.01.014

Podlaski WF, Agnes EJ, Vogels TP. High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating. bioRxiv. 2022. doi:10.1101/2020.01.08.898528

Braun L, Vogels TP. Online learning of neural computations from sparse temporal feedback. In: Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. Vol 20. Neural Information Processing Systems Foundation; 2021:16437-16450.

Zenke F, Vogels TP. The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks. Neural Computation. 2021;33(4):899-925. doi:10.1162/neco_a_01367