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

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 27 (2024) 964–974.
LibreCat: https://research-explorer.ista.ac.at/record/15171
DOI: 10.1038/s41593-024-01597-4
PMID: 38509348 

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

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

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

Think: Theory for Africa
C.B. Currin, P.N. Khoza, A.D. Antrobus, P.E. Latham, T.P. Vogels, J.V. Raimondo, PLOS Computational Biology 15 (2019).
LibreCat: https://research-explorer.ista.ac.at/record/8013
DOI: 10.1371/journal.pcbi.1007049
PMID: 31295253

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

Cortical signal propagation: Balance, amplify, transmit
J.P. Stroud, T.P. Vogels, Neuron 98 (2018) 8–9.
LibreCat: https://research-explorer.ista.ac.at/record/8015
DOI: 10.1016/j.neuron.2018.03.028
PMID: 29621492

Motor primitives in space and time via targeted gain modulation in cortical networks
J.P. Stroud, M.A. Porter, G. Hennequin, T.P. Vogels, Nature Neuroscience 21 (2018) 1774–1783.
LibreCat: https://research-explorer.ista.ac.at/record/8073
DOI: 10.1038/s41593-018-0276-0
PMID: 30482949

Synaptic transmission optimization predicts expression loci of long-term plasticity
R.P. Costa, Z. Padamsey, J.A. D’Amour, N.J. Emptage, R.C. Froemke, T.P. Vogels, Neuron 96 (2017) 177–189.e7.
LibreCat: https://research-explorer.ista.ac.at/record/8016
DOI: 10.1016/j.neuron.2017.09.021
PMID: 28957667

Inhibitory engrams in perception and memory
H.C. Barron, T.P. Vogels, T.E. Behrens, M. Ramaswami, Proceedings of the National Academy of Sciences 114 (2017) 6666–6674.
LibreCat: https://research-explorer.ista.ac.at/record/8018
DOI: 10.1073/pnas.1701812114
PMID: 28611219

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

Inhibitory plasticity: Balance, control, and codependence
G. Hennequin, E.J. Agnes, T.P. Vogels, Annual Review of Neuroscience 40 (2017) 557–579.
LibreCat: https://research-explorer.ista.ac.at/record/8017
DOI: 10.1146/annurev-neuro-072116-031005
PMID: 28598717

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

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

Unmasking latent inhibitory connections in human cortex to reveal dormant cortical memories
H.C. Barron, T.P. Vogels, U.E. Emir, T.R. Makin, J. O’Shea, S. Clare, S. Jbabdi, R.J. Dolan, T.E.J. Behrens, Neuron 90 (2016) 191–203.
LibreCat: https://research-explorer.ista.ac.at/record/8020
DOI: 10.1016/j.neuron.2016.02.031
PMID: 26996082

Receptive field formation by interacting excitatory and inhibitory synaptic plasticity
C. Clopath, T.P. Vogels, R.C. Froemke, H. Sprekeler, BioRxiv (2016).
LibreCat: https://research-explorer.ista.ac.at/record/8128

Activity-dependent dendritic spine neck changes are correlated with synaptic strength
R. Araya, T.P. Vogels, R. Yuste, Proceedings of the National Academy of Sciences 111 (2014) 95–04.
LibreCat: https://research-explorer.ista.ac.at/record/8021
DOI: 10.1073/pnas.1321869111
PMID: 24982196

Connection-type-specific biases make uniform random network models consistent with cortical recordings
C. Tomm, M. Avermann, C. Petersen, W. Gerstner, T.P. Vogels, Journal of Neurophysiology 112 (2014) 1801–1814.
LibreCat: https://research-explorer.ista.ac.at/record/8023
DOI: 10.1152/jn.00629.2013
PMID: 24944218

Optimal control of transient dynamics in balanced networks supports generation of complex movements
G. Hennequin, T.P. Vogels, W. Gerstner, Neuron 82 (2014) 1394–1406.
LibreCat: https://research-explorer.ista.ac.at/record/8022
DOI: 10.1016/j.neuron.2014.04.045
PMID: 24945778

Inhibitory synaptic plasticity: Spike timing-dependence and putative network function
T.P. Vogels, R.C. Froemke, N. Doyon, M. Gilson, J.S. Haas, R. Liu, A. Maffei, P. Miller, C.J. Wierenga, M.A. Woodin, F. Zenke, H. Sprekeler, Frontiers in Neural Circuits 7 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/8030
DOI: 10.3389/fncir.2013.00119
PMID: 23882186

Non-normal amplification in random balanced neuronal networks
G. Hennequin, T.P. Vogels, W. Gerstner, Physical Review E 86 (2012).
LibreCat: https://research-explorer.ista.ac.at/record/8024
DOI: 10.1103/physreve.86.011909
PMID: 23005454

State-dependent function of neocortical chandelier cells
A.R. Woodruff, L.M. McGarry, T.P. Vogels, M. Inan, S.A. Anderson, R. Yuste, Journal of Neuroscience 31 (2011) 17872–17886.
LibreCat: https://research-explorer.ista.ac.at/record/8025
DOI: 10.1523/jneurosci.3894-11.2011
PMID: 22159102

Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks
T.P. Vogels, H. Sprekeler, F. Zenke, C. Clopath, W. Gerstner, Science 334 (2011) 1569–1573.
LibreCat: https://research-explorer.ista.ac.at/record/8074
DOI: 10.1126/science.1211095
PMID: 22075724

Gating multiple signals through detailed balance of excitation and inhibition in spiking networks
T.P. Vogels, L.F. Abbott, Nature Neuroscience 12 (2009) 483–491.
LibreCat: https://research-explorer.ista.ac.at/record/8026
DOI: 10.1038/nn.2276
PMID: 19305402

Gating deficits in model networks: A path to schizophrenia?
T.P. Vogels, L. Abbott, Pharmacopsychiatry 40 (2007) –.
LibreCat: https://research-explorer.ista.ac.at/record/8027
DOI: 10.1055/s-2007-992130
PMID: 18080946

Signal propagation and logic gating in networks of integrate-and-fire neurons
T.P. Vogels, L.F. Abbott, Journal of Neuroscience 25 (2005) 10786–10795.
LibreCat: https://research-explorer.ista.ac.at/record/8028
DOI: 10.1523/jneurosci.3508-05.2005
PMID: 16291952

Neural network dynamics
T.P. Vogels, K. Rajan, L.F. Abbott, Annual Review of Neuroscience 28 (2005) 357–376.
LibreCat: https://research-explorer.ista.ac.at/record/8029
DOI: 10.1146/annurev.neuro.28.061604.135637
PMID: 16022600