Andreas Tolias

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Alexander S. EckerUniversity of Göttingen, GermanyAdresse e-mail validée de cs.uni-goettingen.de
Matthias BethgeTübingen University & Maddox Co-FounderAdresse e-mail validée de bethgelab.org
Jacob ReimerAssistant Professor, Baylor College of MedicineAdresse e-mail validée de bcm.edu
Philipp BerensHertie Institute for AI in Brain Health, University of TübingenAdresse e-mail validée de uni-tuebingen.de
Fabian SinzProfessor for Machine Learning, University GöttingenAdresse e-mail validée de cs.uni-goettingen.de
Georgios A. Keliris, Ph.DNeuroscientistAdresse e-mail validée de georgioskeliris.com
Xiaolong JiangBaylor College of MedicineAdresse e-mail validée de bcm.edu
Shan ShenBaylor College of MedicineAdresse e-mail validée de bcm.edu
Rickard SandbergProfessor, Karolinska InstitutetAdresse e-mail validée de ki.se
Thanos SiapasProfessor of Computation and Neural Systems, CaltechAdresse e-mail validée de caltech.edu
David A. McCormickProfessor, University of Oregon; Professor Emeritus, Yale UniversityAdresse e-mail validée de uoregon.edu
Matthew McGinleyBaylor College of MedicineAdresse e-mail validée de bcm.edu
Shih-pi KuPost-doc of Neuroscience, Leibniz Institute for NeurobiologyAdresse e-mail validée de lin-magdeburg.de
Manivannan SubramaniyanDoD Biotechnology High Performance Computing Software Applications Institute (BHSAI)Adresse e-mail validée de pennmedicine.upenn.edu
Jakob MackeMachine Learning in Science, Tübingen UniversityAdresse e-mail validée de uni-tuebingen.de
Alyssa A. BrewerAssociate Professor of Cognitive Sciences & Language Science, University of California, IrvineAdresse e-mail validée de uci.edu
Brian WandellStanford UniversityAdresse e-mail validée de stanford.edu
Alex ChaparroProfessor of Human Factors, Embry-Riddle Aeronautical UniversityAdresse e-mail validée de erau.edu
Sebastian GerwinnBosch Center for AI

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Andreas Tolias

Stanford University

Adresse e-mail validée de stanford.edu - Page d'accueil

systems neuroscience computational neuroscience machine learning artificial intelligence NeuroAI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Three scenarios for continual learning GM Van de Ven, AS Tolias arXiv preprint arXiv:1904.07734, 2019	1047	2019
Principles of connectivity among morphologically defined cell types in adult neocortex X Jiang, S Shen, CR Cadwell, P Berens, F Sinz, AS Ecker, S Patel, ... Science 350 (6264), aac9462, 2015	906	2015
Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex J Reimer, MJ McGinley, Y Liu, C Rodenkirch, Q Wang, DA McCormick, ... Nature communications 7 (1), 13289, 2016	879	2016
Spike sorting for large, dense electrode arrays C Rossant, SN Kadir, DFM Goodman, J Schulman, MLD Hunter, ... Nature neuroscience 19 (4), 634-641, 2016	856	2016
Waking state: rapid variations modulate neural and behavioral responses MJ McGinley, M Vinck, J Reimer, R Batista-Brito, E Zagha, CR Cadwell, ... Neuron 87 (6), 1143-1161, 2015	784	2015
Pupil fluctuations track fast switching of cortical states during quiet wakefulness J Reimer, E Froudarakis, CR Cadwell, D Yatsenko, GH Denfield, ... neuron 84 (2), 355-362, 2014	768	2014
Decorrelated neuronal firing in cortical microcircuits AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias science 327 (5965), 584-587, 2010	732	2010
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq CR Cadwell, A Palasantza, X Jiang, P Berens, Q Deng, M Yilmaz, ... Nature biotechnology 34 (2), 199-203, 2016	578	2016
Brain-inspired replay for continual learning with artificial neural networks GM Van de Ven, HT Siegelmann, AS Tolias Nature communications 11 (1), 4069, 2020	572	2020
In vivo three-photon imaging of activity of GCaMP6-labeled neurons deep in intact mouse brain DG Ouzounov, T Wang, M Wang, DD Feng, NG Horton, ... Nature methods 14 (4), 388-390, 2017	502	2017
Three types of incremental learning GM Van de Ven, T Tuytelaars, AS Tolias Nature Machine Intelligence 4 (12), 1185-1197, 2022	466	2022
Direct and indirect activation of cortical neurons by electrical microstimulation EJ Tehovnik, AS Tolias, F Sultan, WM Slocum, NK Logothetis Journal of neurophysiology 96 (2), 512-521, 2006	414	2006
Deep convolutional models improve predictions of macaque V1 responses to natural images SA Cadena, GH Denfield, EY Walker, LA Gatys, AS Tolias, M Bethge, ... PLoS computational biology 15 (4), e1006897, 2019	404	2019
State dependence of noise correlations in macaque primary visual cortex AS Ecker, P Berens, RJ Cotton, M Subramaniyan, GH Denfield, ... Neuron 82 (1), 235-248, 2014	372	2014
A multimodal cell census and atlas of the mammalian primary motor cortex Principal manuscript editors, Analysis coordination, ... Nature 598 (7879), 86-102, 2021	362	2021
Eye movements modulate visual receptive fields of V4 neurons AS Tolias, T Moore, SM Smirnakis, EJ Tehovnik, AG Siapas, PH Schiller Neuron 29 (3), 757-767, 2001	348	2001
Integration of local features into global shapes: monkey and human FMRI studies Z Kourtzi, AS Tolias, CF Altmann, M Augath, NK Logothetis Neuron 37 (2), 333-346, 2003	338	2003
The effect of noise correlations in populations of diversely tuned neurons A Ecker, P Berens, A Tolias, M Bethge Nature Precedings, 1-1, 2011	302	2011
Phenotypic variation of transcriptomic cell types in mouse motor cortex F Scala, D Kobak, M Bernabucci, Y Bernaerts, CR Cadwell, JR Castro, ... Nature 598 (7879), 144-150, 2021	301	2021
Mapping cortical activity elicited with electrical microstimulation using FMRI in the macaque AS Tolias, F Sultan, M Augath, A Oeltermann, EJ Tehovnik, PH Schiller, ... Neuron 48 (6), 901-911, 2005	299	2005

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