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Neuroscience

D-Index
65
Citations
20162
World Ranking
3079
National Ranking
1431

Research.com Recognitions

  • 2011 - National Institutes of Health Director's Pioneer Award

Overview

Andreas S. Tolias is affiliated with Baylor College of Medicine in the United States. Their research primarily focuses on the field of Neuroscience, with significant contributions in several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Biophysics, and Artificial Intelligence.

The scientist's work covers a range of main topics, such as:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Neuroscience and Neuropharmacology Research
  • Cell Image Analysis Techniques
  • Neurobiology and Insect Physiology Research
  • Single-cell and spatial transcriptomics
  • Neuroscience and Neural Engineering

Frequent publication venues for their research include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent papers include:

  • A multimodal cell census and atlas of the mammalian primary motor cortex, 2021, Nature
  • Three types of incremental learning, 2022, Nature Machine Intelligence
  • Brain-inspired replay for continual learning with artificial neural networks, 2020, Nature Communications
  • Phenotypic variation of transcriptomic cell types in mouse motor cortex, 2020, Nature
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications

Among frequent co-authors associated with Tolias are Jacob Reimer, Fabian H. Sinz, Emmanouil Froudarakis, R. Clay Reid, and Casey M Schneider-Mizell, reflecting collaborative efforts in their research.

They have been recognized with the National Institutes of Health Director's Pioneer Award in 2011, highlighting an acknowledged contribution to their research domains.

Best Publications

  • Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex.

    Jacob Reimer;Matthew J McGinley;Matthew J McGinley;Yang Liu;Charles Rodenkirch

  • Principles of connectivity among morphologically defined cell types in adult neocortex

    Xiaolong Jiang;Shan Shen;Cathryn R. Cadwell;Philipp Berens

  • Spike sorting for large, dense electrode arrays

    Cyrille Rossant;Cyrille Rossant;Shabnam N. Kadir;Shabnam N. Kadir;Dan F. M. Goodman;John Schulman

  • Waking State: Rapid Variations Modulate Neural and Behavioral Responses.

    Matthew J. McGinley;Martin Vinck;Jacob Reimer;Renata Batista-Brito

  • Pupil Fluctuations Track Fast Switching of Cortical States during Quiet Wakefulness

    Jacob Reimer;Emmanouil Froudarakis;Cathryn R. Cadwell;Dimitri Yatsenko

  • Decorrelated neuronal firing in cortical microcircuits.

    Alexander S. Ecker;Philipp Berens;Georgios A. Keliris;Matthias Bethge

  • Three scenarios for continual learning

    Gido M. van de Ven;Andreas S. Tolias

  • Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq

    Cathryn R Cadwell;Athanasia Palasantza;Athanasia Palasantza;Xiaolong Jiang;Philipp Berens

  • In vivo three-photon imaging of activity of GCaMP6-labeled neurons deep in intact mouse brain

    Dimitre G Ouzounov;Tianyu Wang;Mengran Wang;Danielle D Feng

  • Integration of Local Features into Global Shapes: Monkey and Human fMRI Studies

    Zoe Kourtzi;Andreas S Tolias;Christian F Altmann;Marc Augath

  • Brain-inspired replay for continual learning with artificial neural networks.

    Gido M. van de Ven;Gido M. van de Ven;Hava T. Siegelmann;Andreas S. Tolias;Andreas S. Tolias

  • Direct and Indirect Activation of Cortical Neurons by Electrical Microstimulation

    E. J. Tehovnik;A. S. Tolias;F. Sultan;W. M. Slocum

  • State dependence of noise correlations in macaque primary visual cortex

    Alexander S. Ecker;Philipp Berens;Philipp Berens;R. James Cotton;Manivannan Subramaniyan

  • Deep convolutional models improve predictions of macaque V1 responses to natural images.

    Santiago A. Cadena;Santiago A. Cadena;George H. Denfield;Edgar Y. Walker;Leon A. Gatys

  • Phenotypic variation of transcriptomic cell types in mouse motor cortex

    Federico Scala;Dmitry Kobak;Matteo Bernabucci;Yves Bernaerts

  • Eye Movements Modulate Visual Receptive Fields of V4 Neurons

    Andreas S Tolias;Tirin Moore;Stelios M Smirnakis;Edward J Tehovnik

  • The Effect of Noise Correlations in Populations of Diversely Tuned Neurons

    Alexander S. Ecker;Philipp Berens;Andreas S. Tolias;Matthias Bethge

  • Catalyzing next-generation Artificial Intelligence through NeuroAI

    Unknown

  • Mapping Cortical Activity Elicited with Electrical Microstimulation Using fMRI in the Macaque

    Andreas S. Tolias;Fahad Sultan;Mark Augath;Axel Oeltermann

  • Biological underpinnings for lifelong learning machines

    Unknown

  • Generating spike trains with specified correlation coefficients

    Jakob H. Macke;Philipp Berens;Alexander S. Ecker;Andreas S. Tolias

  • Lack of long-term cortical reorganization after macaque retinal lesions

    S.M. Smirnakis;A.A. Brewer;M.C. Schmid;A.S. Tolias

Frequent Co-Authors

Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Rickard Sandberg
Rickard Sandberg Karolinska Institute
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Giorgio A. Ascoli
Giorgio A. Ascoli George Mason University
Thomas Euler
Thomas Euler University of Tübingen
Zoe Kourtzi
Zoe Kourtzi University of Cambridge
Ed S. Lein
Ed S. Lein University of Washington
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Michael L. Roukes
Michael L. Roukes California Institute of Technology

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