Beyer, Chad, Christopher Currin, Taryn Williams, and Dan J. Stein. “Meta-Analysis of the Comparative Efficacy of Benzodiazepines and Antidepressants for Psychic versus Somatic Symptoms of Generalized Anxiety Disorder.”https://doi.org/10.1016/j.comppsych.2024.152479__Comprehensive Psychiatry. Elsevier, n.d.https://doi.org/10.1016/j.comppsych.2024.152479 .

Delamare, Geoffroy, Douglas Feitosa Tomé, and Claudia Clopath. “Intrinsic Neural Excitability Biases Allocation and Overlap of Memory Engrams.”https://doi.org/10.1523/JNEUROSCI.0846-23.2024__Journal of Neuroscience. Society of Neuroscience, 2024.https://doi.org/10.1523/JNEUROSCI.0846-23.2024 .

Currin, Christopher, and Chad Beyer. “Altered Childhood Brain Development in Autism and Epilepsy.”https://doi.org/10.1016/b978-0-12-818872-9.00129-1__In Encyclopedia of Child and Adolescent Health, edited by Bonnie Halpern-Felsher, 1st ed., 86–98. Elsevier, 2023.https://doi.org/10.1016/b978-0-12-818872-9.00129-1 .

Confavreux, Basile J. “Synapseek: Meta-Learning Synaptic Plasticity Rules.”https://doi.org/10.15479/at:ista:14422__Institute of Science and Technology Austria, 2023.https://doi.org/10.15479/at:ista:14422 .

Chintaluri, Chaitanya, and Tim P Vogels. “Metabolically Regulated Spiking Could Serve Neuronal Energy Homeostasis and Protect from Reactive Oxygen Species.”https://doi.org/10.1073/pnas.2306525120__Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2023.https://doi.org/10.1073/pnas.2306525120 .

Feitosa Tomé, Douglas. “Douglastome/Dynamic-Engrams: Dynamic and Selective Engrams Emerge with Memory Consolidation.”https://doi.org/10.5281/ZENODO.10251087__Zenodo, 2023.https://doi.org/10.5281/ZENODO.10251087 .

Currin, Christopher, Mercy Nyamewaa Asiedu , Chris Fourie, Benjamin Rosman, Houcemeddine Turki, Atnafu Lambebo Tonja, Jade Abbott, 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, Thijs L., Tim P Vogels, and Sanjay G. Manohar. “Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks.” In Proceedings of Machine Learning Research, 199:518–31. ML Research Press, 2022.

Kaneko, Keisuke, Christopher Currin, Kevin M. Goff, Eric R. Wengert, Ala Somarowthu, Tim P Vogels, and Ethan M. Goldberg. “Developmentally Regulated Impairment of Parvalbumin Interneuron Synaptic Transmission in an Experimental Model of Dravet Syndrome.”https://doi.org/10.1016/j.celrep.2022.110580__Cell Reports. Elsevier, 2022.https://doi.org/10.1016/j.celrep.2022.110580 .

Jia, David W., Tim P Vogels, and Rui Ponte Costa. “Developmental Depression-to-Facilitation Shift Controls Excitation-Inhibition Balance.”https://doi.org/10.1038/s42003-022-03801-2__Communications Biology. Springer Nature, 2022.https://doi.org/10.1038/s42003-022-03801-2 .

Christodoulou, Georgia, Tim P Vogels, and Everton J. Agnes. “Regimes and Mechanisms of Transient Amplification in Abstract and Biological Neural Networks.”https://doi.org/10.1371/journal.pcbi.1010365__PLoS Computational Biology. Public Library of Science, 2022.https://doi.org/10.1371/journal.pcbi.1010365 .

Currin, Christopher, Sebastián Vallejo Vera, and Ali Khaledi-Nasab. “Depolarization of Echo Chambers by Random Dynamical Nudge.”https://doi.org/10.1038/s41598-022-12494-w__Scientific Reports. Springer Nature, 2022.https://doi.org/10.1038/s41598-022-12494-w .

Confavreux, Basile J, and Tim P Vogels. “A Familiar Thought: Machines That Replace Us?”https://doi.org/10.1016/j.neuron.2022.01.014__Neuron. Elsevier, 2022.https://doi.org/10.1016/j.neuron.2022.01.014 .

Podlaski, William F., Everton J. Agnes, and Tim P Vogels. “High Capacity and Dynamic Accessibility in Associative Memory Networks with Context-Dependent Neuronal and Synaptic Gating.”https://doi.org/10.1101/2020.01.08.898528__BioRxiv. Cold Spring Harbor Laboratory, 2022.https://doi.org/10.1101/2020.01.08.898528 .

Braun, Lukas, and Tim P Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 20:16437–50. Neural Information Processing Systems Foundation, 2021.

Zenke, Friedemann, and Tim P Vogels. “The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.”https://doi.org/10.1162/neco_a_01367__Neural Computation. MIT Press, 2021.https://doi.org/10.1162/neco_a_01367 .

Bozelos, Panagiotis, and Tim P Vogels. “Talking Science, Online.”https://doi.org/10.1038/s41583-020-00408-6__Nature Reviews Neuroscience. Springer Nature, 2021.https://doi.org/10.1038/s41583-020-00408-6 .

Achakulvisut, Titipat, Tulakan Ruangrong, Patrick Mineault, Tim P Vogels, Megan A.K. Peters, Panayiota Poirazi, Christopher Rozell, Brad Wyble, Dan F.M. Goodman, and Konrad Paul Kording. “Towards Democratizing and Automating Online Conferences: Lessons from the Neuromatch Conferences.”https://doi.org/10.1016/j.tics.2021.01.007__Trends in Cognitive Sciences. Elsevier, 2021.https://doi.org/10.1016/j.tics.2021.01.007 .

Gonçalves, Pedro J., Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, et al. “Training Deep Neural Density Estimators to Identify Mechanistic Models of Neural Dynamics.”https://doi.org/10.7554/eLife.56261__ELife. eLife Sciences Publications, 2020.https://doi.org/10.7554/eLife.56261 .

Agnes, Everton J., Andrea I. Luppi, and Tim P Vogels. “Complementary Inhibitory Weight Profiles Emerge from Plasticity and Allow Attentional Switching of Receptive Fields.”https://doi.org/10.1523/JNEUROSCI.0276-20.2020__The Journal of Neuroscience. Society for Neuroscience, 2020.https://doi.org/10.1523/JNEUROSCI.0276-20.2020 .