J. Clatot 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, vol. 121, no. 3. Proceedings of the National Academy of Sciences, 2024.
LibreCat: https://research-explorer.ista.ac.at/record/14841
DOI: 10.1073/pnas.2307776121
PMID: 38194456

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

C. Chintaluri and T. P. Vogels, “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, vol. 120, no. 48. National Academy of Sciences, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14666
DOI: 10.1073/pnas.2306525120
PMID: 37988463

T. L. Van Der Plas, T. P. Vogels, and S. G. Manohar, “Predictive learning enables neural networks to learn complex working memory tasks,” in Proceedings of Machine Learning Research, 2022, vol. 199, pp. 518–531.
LibreCat: https://research-explorer.ista.ac.at/record/13239

K. Kaneko et al., “Developmentally regulated impairment of parvalbumin interneuron synaptic transmission in an experimental model of Dravet syndrome,” Cell Reports, vol. 38, no. 13. Elsevier, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/11143
DOI: 10.1016/j.celrep.2022.110580
WoS: 000779794000001

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

G. Christodoulou, T. P. Vogels, and E. J. Agnes, “Regimes and mechanisms of transient amplification in abstract and biological neural networks,” PLoS Computational Biology, vol. 18, no. 8. Public Library of Science, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/12084
DOI: 10.1371/journal.pcbi.1010365
WoS: 000937227700001

B. J. Confavreux and T. P. Vogels, “A familiar thought: Machines that replace us?,” Neuron, vol. 110, no. 3. Elsevier, pp. 361–362, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/10753
DOI: 10.1016/j.neuron.2022.01.014
WoS: 000751819100005
PMID: 35114107

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

L. Braun and T. 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, Virtual, Online, 2021, vol. 20, pp. 16437–16450.
LibreCat: https://research-explorer.ista.ac.at/record/11453

F. Zenke and T. P. Vogels, “The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks,” Neural Computation, vol. 33, no. 4. MIT Press, pp. 899–925, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/8253
DOI: 10.1162/neco_a_01367
WoS: 000663433900003
PMID: 33513328

P. Bozelos and T. P. Vogels, “Talking science, online,” Nature Reviews Neuroscience, vol. 22, no. 1. Springer Nature, pp. 1–2, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/8757
DOI: 10.1038/s41583-020-00408-6
WoS: 000588256300001
PMID: 33173190

T. Achakulvisut et al., “Towards democratizing and automating online conferences: Lessons from the Neuromatch Conferences,” Trends in Cognitive Sciences, vol. 25, no. 4. Elsevier, pp. 265–268, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9228
DOI: 10.1016/j.tics.2021.01.007
WoS: 000627418000001
PMID: 33608214

P. J. Gonçalves et al., “Training deep neural density estimators to identify mechanistic models of neural dynamics,” eLife, vol. 9. eLife Sciences Publications, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8127
DOI: 10.7554/eLife.56261
WoS: 000584989400001
PMID: 32940606

E. J. Agnes, A. I. Luppi, and T. P. Vogels, “Complementary inhibitory weight profiles emerge from plasticity and allow attentional switching of receptive fields,” The Journal of Neuroscience, vol. 40, no. 50. Society for Neuroscience, pp. 9634–9649, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8126
DOI: 10.1523/JNEUROSCI.0276-20.2020
WoS: 000606706400009
PMID: 33168622

B. J. Confavreux, F. Zenke, E. J. Agnes, T. Lillicrap, and T. P. Vogels, “A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 16398–16408.
LibreCat: https://research-explorer.ista.ac.at/record/9633

C. B. Currin, P. N. Khoza, A. D. Antrobus, P. E. Latham, T. P. Vogels, and J. V. Raimondo, “Think: Theory for Africa,” PLOS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/8013
DOI: 10.1371/journal.pcbi.1007049
PMID: 31295253

S. G. Manohar, N. Zokaei, S. J. Fallon, T. P. Vogels, and M. Husain, “Neural mechanisms of attending to items in working memory,” Neuroscience and Biobehavioral Reviews, vol. 101. Elsevier , pp. 1–12, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/8014
DOI: 10.1016/j.neubiorev.2019.03.017
PMID: 30922977

J. P. Stroud and T. P. Vogels, “Cortical signal propagation: Balance, amplify, transmit,” Neuron, vol. 98, no. 1. Elsevier, pp. 8–9, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/8015
DOI: 10.1016/j.neuron.2018.03.028
PMID: 29621492

J. P. Stroud, M. A. Porter, G. Hennequin, and T. P. Vogels, “Motor primitives in space and time via targeted gain modulation in cortical networks,” Nature Neuroscience, vol. 21, no. 12. Springer Nature, pp. 1774–1783, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/8073
DOI: 10.1038/s41593-018-0276-0
PMID: 30482949

R. P. Costa, Z. Padamsey, J. A. D’Amour, N. J. Emptage, R. C. Froemke, and T. P. Vogels, “Synaptic transmission optimization predicts expression loci of long-term plasticity,” Neuron, vol. 96, no. 1. Elsevier, p. 177–189.e7, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/8016
DOI: 10.1016/j.neuron.2017.09.021
PMID: 28957667

H. C. Barron, T. P. Vogels, T. E. Behrens, and M. Ramaswami, “Inhibitory engrams in perception and memory,” Proceedings of the National Academy of Sciences, vol. 114, no. 26. Proceedings of the National Academy of Sciences, pp. 6666–6674, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/8018
DOI: 10.1073/pnas.1701812114
PMID: 28611219

T. P. Vogels and L. C. Griffith, “Editorial overview: Neurobiology of learning and plasticity 2017,” Current Opinion in Neurobiology, vol. 43. Elsevier, pp. –, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/8019
DOI: 10.1016/j.conb.2017.04.002
PMID: 28427877

G. Hennequin, E. J. Agnes, and T. P. Vogels, “Inhibitory plasticity: Balance, control, and codependence,” Annual Review of Neuroscience, vol. 40, no. 1. Annual Reviews, pp. 557–579, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/8017
DOI: 10.1146/annurev-neuro-072116-031005
PMID: 28598717

W. F. Podlaski, A. Seeholzer, L. N. Groschner, G. Miesenböck, R. Ranjan, and T. P. Vogels, “Mapping the function of neuronal ion channels in model and experiment,” eLife, vol. 6. eLife Sciences Publications, Ltd, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/8075
DOI: 10.7554/elife.22152
PMID: 28267430

R. P. Costa, Y. M. Assael, B. Shillingford, N. de Freitas, and T. P. Vogels, “Cortical microcircuits as gated-recurrent neural networks,” in Advances in Neural Information Processing Systems, Long Beach, CA, United States, 2017, vol. 30, pp. 272–283.
LibreCat: https://research-explorer.ista.ac.at/record/8129
arXiv: 1711.02448

H. C. Barron et al., “Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories,” Neuron, vol. 90, no. 1. Elsevier, pp. 191–203, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/8020
DOI: 10.1016/j.neuron.2016.02.031
PMID: 26996082

C. Clopath, T. P. Vogels, R. C. Froemke, and H. Sprekeler, “Receptive field formation by interacting excitatory and inhibitory synaptic plasticity,” bioRxiv. Cold Spring Harbor Laboratory, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/8128

R. Araya, T. P. Vogels, and R. Yuste, “Activity-dependent dendritic spine neck changes are correlated with synaptic strength,” Proceedings of the National Academy of Sciences, vol. 111, no. 28. Proceedings of the National Academy of Sciences, pp. 95–04, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/8021
DOI: 10.1073/pnas.1321869111
PMID: 24982196

C. Tomm, M. Avermann, C. Petersen, W. Gerstner, and T. P. Vogels, “Connection-type-specific biases make uniform random network models consistent with cortical recordings,” Journal of Neurophysiology, vol. 112, no. 8. American Physiological Society, pp. 1801–1814, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/8023
DOI: 10.1152/jn.00629.2013
PMID: 24944218

G. Hennequin, T. P. Vogels, and W. Gerstner, “Optimal control of transient dynamics in balanced networks supports generation of complex movements,” Neuron, vol. 82, no. 6. Elsevier, pp. 1394–1406, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/8022
DOI: 10.1016/j.neuron.2014.04.045
PMID: 24945778

T. P. Vogels et al., “Inhibitory synaptic plasticity: Spike timing-dependence and putative network function,” Frontiers in Neural Circuits, vol. 7. Frontiers Media, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/8030
DOI: 10.3389/fncir.2013.00119
PMID: 23882186

G. Hennequin, T. P. Vogels, and W. Gerstner, “Non-normal amplification in random balanced neuronal networks,” Physical Review E, vol. 86, no. 1. American Physical Society, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/8024
DOI: 10.1103/physreve.86.011909
PMID: 23005454

A. R. Woodruff, L. M. McGarry, T. P. Vogels, M. Inan, S. A. Anderson, and R. Yuste, “State-dependent function of neocortical chandelier cells,” Journal of Neuroscience, vol. 31, no. 49. Society for Neuroscience, pp. 17872–17886, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/8025
DOI: 10.1523/jneurosci.3894-11.2011
PMID: 22159102

T. P. Vogels, H. Sprekeler, F. Zenke, C. Clopath, and W. Gerstner, “Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks,” Science, vol. 334, no. 6062. American Association for the Advancement of Science, pp. 1569–1573, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/8074
DOI: 10.1126/science.1211095
PMID: 22075724

T. P. Vogels and L. F. Abbott, “Gating multiple signals through detailed balance of excitation and inhibition in spiking networks,” Nature Neuroscience, vol. 12, no. 4. Springer Nature, pp. 483–491, 2009.
LibreCat: https://research-explorer.ista.ac.at/record/8026
DOI: 10.1038/nn.2276
PMID: 19305402

T. P. Vogels and L. Abbott, “Gating deficits in model networks: A path to schizophrenia?,” Pharmacopsychiatry, vol. 40, no. S 1. Thieme, pp. –, 2007.
LibreCat: https://research-explorer.ista.ac.at/record/8027
DOI: 10.1055/s-2007-992130
PMID: 18080946

T. P. Vogels and L. F. Abbott, “Signal propagation and logic gating in networks of integrate-and-fire neurons,” Journal of Neuroscience, vol. 25, no. 46. Society for Neuroscience, pp. 10786–10795, 2005.
LibreCat: https://research-explorer.ista.ac.at/record/8028
DOI: 10.1523/jneurosci.3508-05.2005
PMID: 16291952

T. P. Vogels, K. Rajan, and L. F. Abbott, “Neural network dynamics,” Annual Review of Neuroscience, vol. 28, no. 1. Annual Reviews, pp. 357–376, 2005.
LibreCat: https://research-explorer.ista.ac.at/record/8029
DOI: 10.1146/annurev.neuro.28.061604.135637
PMID: 16022600