World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6638
World Ranking
5884
National Ranking
21

Overview

Gašper Tkačik is affiliated with the Institute of Science and Technology Austria, contributing extensively to research in biochemistry, genetics, molecular biology, and neuroscience. Their scholarly output spans 74 publications in biochemistry, genetics, and molecular biology, alongside 24 in neuroscience, demonstrating a multidisciplinary approach within life sciences.

Their research encompasses several interconnected topics, notably:

  • Gene Regulatory Network Analysis
  • Neural dynamics and brain function
  • Evolution and Genetic Dynamics
  • Bacterial Genetics and Biotechnology
  • RNA and protein synthesis mechanisms
  • CRISPR and Genetic Engineering
  • Neural Networks and Applications

Notable papers include:

  • "The many bits of positional information" (2021) published in Development
  • "Mechanisms of drug interactions between translation-inhibiting antibiotics" (2020) published in Nature Communications
  • "Gene amplification as a form of population-level gene expression regulation" (2020) published in Nature Ecology & Evolution
  • "Learning probabilistic neural representations with randomly connected circuits" (2020) published in Proceedings of the National Academy of Sciences
  • "Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain" (2023) published in Nature Computational Science

Their frequent co-authors include:

  • Călin C. Guet
  • Thomas Gregor
  • Bor Kavčič
  • Rok Grah
  • Michal Hledík

Gašper Tkačik's work appears regularly in high-impact and well-regarded scientific venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences
  • arXiv (Cornell University)
  • Nature Communications
  • Development

Their subfields of study extend through molecular biology, genetics, cognitive neuroscience, artificial intelligence, and statistical and nonlinear physics, reflecting a broad yet focused research spectrum. This interdisciplinary orientation integrates computational and experimental approaches to understand complex biological systems and neural dynamics.

Best Publications

  • Information flow and optimization in transcriptional regulation

    Gašper Tkačik;Curtis Gove Callan;William Bialek

  • Information-based clustering.

    Noam Slonim;Gurinder Singh Atwal;Gašper Tkačik;William Bialek

  • Searching for collective behavior in a large network of sensory neurons.

    Gašper Tkačik;Olivier Marre;Olivier Marre;Dario Amodei;Elad Schneidman

  • Thermodynamics and signatures of criticality in a network of neurons

    Gašper Tkačik;Thierry Mora;Olivier Marre;Dario Amodei

  • Positional information, in bits.

    Julien O. Dubuis;Gašper Tkačik;Eric F. Wieschaus;Thomas Gregor

  • Information transmission in genetic regulatory networks: a review.

    Gašper Tkačik;Aleksandra M Walczak

  • Optimal population coding by noisy spiking neurons

    Gašper Tkačik;Jason S. Prentice;Vijay Balasubramanian;Elad Schneidman

  • The simplest maximum entropy model for collective behavior in a neural network

    Gašper Tkačik;Olivier Marre;Olivier Marre;Thierry Mora;Dario Amodei

  • Information Processing in Living Systems

    Gašper Tkačik;William Bialek

  • Decoding of position in the developing neural tube from antiparallel morphogen gradients

    Marcin Zagorski;Yoji Tabata;Nathalie Brandenberg;Matthias P. Lutolf

  • Optimal Decoding of Cellular Identities in a Genetic Network.

    Mariela D. Petkova;Mariela D. Petkova;Gašper Tkačik;William Bialek;Eric F. Wieschaus

  • Toward a unified theory of efficient, predictive, and sparse coding.

    Matthew Chalk;Olivier Marre;Gašper Tkačik

  • Optimizing information flow in small genetic networks.

    Gašper Tkačik;Aleksandra M. Walczak;William Bialek;William Bialek

  • Ising models for networks of real neurons

    Gasper Tkacik;Elad Schneidman;Michael J Berry;William Bialek

  • The dynamics of adaptation on correlated fitness landscapes.

    Sergey Kryazhimskiy;Gašper Tkačik;Joshua B. Plotkin

  • Information transmission in genetic regulatory networks: a review

    Aleksandra M Walczak;Gašper Tkačik

  • Information capacity of genetic regulatory elements.

    Gašper Tkačik;Curtis G. Callan;William Bialek

  • Stimulus-dependent maximum entropy models of neural population codes.

    Einat Granot-Atedgi;Gašper Tkačik;Ronen Segev;Elad Schneidman

  • Natural Images from the Birthplace of the Human Eye

    Gasper Tkacik;Gasper Tkacik;Patrick Garrigan;Charles P. Ratliff;Grega Milcinski

  • Optimizing Information Flow in Small Genetic Networks. II. Feed-forward Interactions

    Aleksandra M. Walczak;Gašper Tkačik;William Bialek

  • Optimizing information flow in small genetic networks

    Aleksandra M. Walczak;Gasper Tkacik;Curtis G. Callan;William Bialek

  • Information flow and optimization in transcriptional regulation

    Gasper Tkacik

Frequent Co-Authors

William Bialek
William Bialek Princeton University
Jonathan D. Victor
Jonathan D. Victor Cornell University
Nicholas H. Barton
Nicholas H. Barton Institute of Science and Technology Austria
Eric Wieschaus
Eric Wieschaus Princeton University
Noam Slonim
Noam Slonim IBM (United States)
Serge Picaud
Serge Picaud Institut de la Vision
James Briscoe
James Briscoe The Francis Crick Institute
Peter Sterling
Peter Sterling University of Pennsylvania
Roozbeh Kiani
Roozbeh Kiani New York University

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