| Year |
Citation |
Score |
| 2022 |
Bernacchia A, Fiser J, Hennequin G, Lengyel M. Adaptive erasure of spurious sequences in sensory cortical circuits. Neuron. PMID 35358415 DOI: 10.1016/j.neuron.2022.03.006 |
0.305 |
|
| 2020 |
Echeveste R, Aitchison L, Hennequin G, Lengyel M. Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature Neuroscience. PMID 32778794 DOI: 10.1038/S41593-020-0671-1 |
0.445 |
|
| 2020 |
Baggio G, Rutten V, Hennequin G, Zampieri S. Efficient communication over complex dynamical networks: The role of matrix non-normality. Science Advances. 6: eaba2282. PMID 32518824 DOI: 10.1126/Sciadv.Aba2282 |
0.502 |
|
| 2020 |
Baggio G, Rutten V, Hennequin G, Zampieri S. Information Transmission in Dynamical Networks: The Normal Network Case. Proceedings of the ... Ieee Conference On Decision & Control. Ieee Conference On Decision & Control. 2018. PMID 31327889 DOI: 10.1109/CDC.2018.8619813 |
0.421 |
|
| 2019 |
Kao TC, Hennequin G. Neuroscience out of control: control-theoretic perspectives on neural circuit dynamics. Current Opinion in Neurobiology. 58: 122-129. PMID 31563084 DOI: 10.1016/J.Conb.2019.09.001 |
0.43 |
|
| 2018 |
Stroud JP, Porter MA, Hennequin G, Vogels TP. Publisher Correction: Motor primitives in space and time via targeted gain modulation in cortical networks. Nature Neuroscience. PMID 30568296 DOI: 10.1038/S41593-018-0307-X |
0.616 |
|
| 2018 |
Stroud JP, Porter MA, Hennequin G, Vogels TP. Motor primitives in space and time via targeted gain modulation in cortical networks. Nature Neuroscience. 21: 1774-1783. PMID 30482949 DOI: 10.1038/S41593-018-0276-0 |
0.724 |
|
| 2018 |
Kao TC, Hennequin G. Null Ain't Dull: New Perspectives on Motor Cortex. Trends in Cognitive Sciences. PMID 30327256 DOI: 10.1016/J.Tics.2018.09.005 |
0.335 |
|
| 2018 |
Hennequin G, Ahmadian Y, Rubin DB, Lengyel M, Miller KD. The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability. Neuron. 98: 846-860.e5. PMID 29772203 DOI: 10.1016/J.Neuron.2018.04.017 |
0.535 |
|
| 2017 |
Hennequin G, Agnes EJ, Vogels TP. Inhibitory Plasticity: Balance, Control, and Codependence. Annual Review of Neuroscience. PMID 28598717 DOI: 10.1146/Annurev-Neuro-072116-031005 |
0.612 |
|
| 2017 |
Hennequin G. Neural networks subtract and conquer. Elife. 6: 1. PMID 28443814 DOI: 10.7554/Elife.26157 |
0.576 |
|
| 2014 |
Hennequin G, Vogels TP, Gerstner W. Optimal control of transient dynamics in balanced networks supports generation of complex movements. Neuron. 82: 1394-406. PMID 24945778 DOI: 10.1016/J.Neuron.2014.04.045 |
0.78 |
|
| 2013 |
Zenke F, Hennequin G, Gerstner W. Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. Plos Computational Biology. 9: e1003330. PMID 24244138 DOI: 10.1371/Journal.Pcbi.1003330 |
0.786 |
|
| 2012 |
Hennequin G, Vogels TP, Gerstner W. Non-normal amplification in random balanced neuronal networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 011909. PMID 23005454 DOI: 10.1103/Physreve.86.011909 |
0.782 |
|
| 2011 |
Hennequin G, Vogels T, Gerstner W. Fast and richly structured activity in cortical networks with local inhibition Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P121 |
0.783 |
|
| 2011 |
Zenke F, Hennequin G, Sprekeler H, Vogels TP, Gerstner W. Plasticity and stability in recurrent neural networks Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P120 |
0.709 |
|
| 2010 |
Hennequin G, Gerstner W, Pfister JP. STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Frontiers in Computational Neuroscience. 4: 143. PMID 21160559 DOI: 10.3389/Fncom.2010.00143 |
0.689 |
|
| Show low-probability matches. |