Andreas Tolias

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

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Andreas Tolias

Stanford University

Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis

systems neuroscience computational neuroscience machine learning artificial intelligence NeuroAI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Three scenarios for continual learning GM Van de Ven, AS Tolias arXiv preprint arXiv:1904.07734, 2019	1065	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	912	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	888	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	857	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	796	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	769	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	734	2010
Brain-inspired replay for continual learning with artificial neural networks GM Van de Ven, HT Siegelmann, AS Tolias Nature communications 11 (1), 4069, 2020	578	2020
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	575	2016
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	505	2017
Three types of incremental learning GM Van de Ven, T Tuytelaars, AS Tolias Nature Machine Intelligence 4 (12), 1185-1197, 2022	494	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	413	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	411	2019
A multimodal cell census and atlas of the mammalian primary motor cortex Principal manuscript editors, Analysis coordination, ... Nature 598 (7879), 86-102, 2021	377	2021
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	368	2014
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	345	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	340	2003
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	308	2021
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
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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