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D-Index & Metrics

Computer Science

D-Index
37
Citations
6112
World Ranking
10723
National Ranking
538

Overview

Jochen Triesch is affiliated with Goethe University Frankfurt in Germany. Their research spans several key areas within neuroscience and computer science, with a particular focus on neural dynamics, brain function, and advanced computational models related to cognition and perception.

Their recent publications illustrate a diverse range of topics and interdisciplinary approaches. Among notable papers are:

  • "Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair" (2023, Communications Biology)
  • "EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations" (2020, NeuroImage)
  • "Active efficient coding explains the development of binocular vision and its failure in amblyopia" (2020, Proceedings of the National Academy of Sciences)
  • "Biological complexity facilitates tuning of the neuronal parameter space" (2023, PLoS Computational Biology)
  • "A developmental increase of inhibition promotes the emergence of hippocampal ripples" (2024, Nature Communications)

The scientist frequently collaborates with colleagues including Arthur Aubret, Markus Ernst, Bertram E. Shi, Céline Teulière, and Diyuan Lu, demonstrating a strong network of coauthors contributing to multiple publications.

Jochen Triesch's work is often published in high-profile venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Cognitive and Developmental Systems, and eLife.

Their research contributions primarily fall under the broad domains of Neuroscience and Computer Science. Within these areas, their subfields of focus include:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Triesch's main topics of interest encompass:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Visual perception and processing mechanisms
  • Advanced Memory and Neural Computing
  • Retinal Development and Disorders
  • Multimodal Machine Learning Applications
  • Ophthalmology and Visual Impairment Studies

Best Publications

  • Spike avalanches in vivo suggest a driven, slightly subcritical brain state

    Viola Priesemann;Michael Wibral;Michael Wibral;Mario Valderrama;Robert Pröpper

  • What you see is what you need.

    Jochen Triesch;Dana H. Ballard;Mary M. Hayhoe;Brian T. Sullivan

  • Robust classification of hand postures against complex backgrounds

    J. Triesch;C. von der Malsburg

  • Gaze following: why (not) learn it?

    Jochen Triesch;Christof Teuscher;Gedeon O. Deák;Eric Carlson

  • A system for person-independent hand posture recognition against complex backgrounds

    J. Triesch;C. von der Malsburg

  • SORN: a self-organizing recurrent neural network

    Andreea Lazar;Gordon Pipa;Gordon Pipa;Jochen Triesch

  • Democratic Integration: Self-Organized Integration of Adaptive Cues

    Jochen Triesch;Christoph Von Der Malsburg

  • Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

    Jochen Triesch

  • A gradient rule for the plasticity of a neuron’s intrinsic excitability

    Jochen Triesch

  • Watch the hands: infants can learn to follow gaze by seeing adults manipulate objects

    Gedeon O. Deak;Anna M. Krasno;Jochen Triesch;Joshua Lewis

  • Task demands control acquisition and storage of visual information.

    Jason A. Droll;Mary Myleen Hayhoe;Jochen Triesch;Brian T. Sullivan

  • Classification of hand postures against complex backgrounds using elastic graph matching

    Jochen Triesch;Christoph von der Malsburg

  • A gesture interface for human-robot-interaction

    J. Triesch;C. Von Der Malsburg

  • Network Self-organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex

    Pengsheng Zheng;Christos Dimitrakakis;Jochen Triesch

  • Independent component analysis in spiking neurons.

    Cristina Savin;Prashant Joshi;Jochen Triesch

  • Infants in control: rapid anticipation of action outcomes in a gaze-contingent paradigm.

    Quan Wang;Jantina Elizabeth Bolhuis;Constantin A. Rothkopf;Thorsten Kolling

  • 2007 Special Issue: Fading memory and time series prediction in recurrent networks with different forms of plasticity

    Andreea Lazar;Gordon Pipa;Jochen Triesch

  • Self-organized integration of adaptive visual cues for face tracking

    J. Triesch;C. Von der Malsburg

  • GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation

    Mark Becker;Efthimia Kefalea;Eric Maël;Christoph Von Der Malsburg

  • Method for recognizing objects in digitized images

    Christian Eckes;Efthimia Kefalea;Christoph Von Der Malsburg;Michael Pötzsch

  • Criticality meets learning : criticality signatures in a self-organizing recurrent neural network

    Bruno Del Papa;Bruno Del Papa;Viola Priesemann;Viola Priesemann;Jochen Triesch

  • Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

    Jochen Triesch

  • Robotic Gesture Recognition

    Jochen Triesch;Christoph von der Malsburg;Christoph von der Malsburg

Frequent Co-Authors

Christoph von der Malsburg
Christoph von der Malsburg Frankfurt Institute for Advanced Studies
Felix Rosenow
Felix Rosenow Goethe University Frankfurt
Michael Wibral
Michael Wibral University of Göttingen
Gianluca Baldassarre
Gianluca Baldassarre National Academies of Sciences, Engineering, and Medicine
Dana H. Ballard
Dana H. Ballard The University of Texas at Austin
John Rinzel
John Rinzel New York University
Heidi I.L. Jacobs
Heidi I.L. Jacobs Harvard University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Stefan Mihalas
Stefan Mihalas Allen Institute for Brain Science

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