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Richard H. R. Hahnloser

Richard H. R. Hahnloser

D-Index & Metrics

Neuroscience

D-Index
32
Citations
6730
World Ranking
9493
National Ranking
212

Overview

Richard H. R. Hahnloser is a researcher affiliated with the University of Zurich in Switzerland. Their work spans multiple fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology.

Their research covers several subfields, including artificial intelligence, developmental biology, ecology, evolution, behavior, systematics, ecology, and signal processing. The main topics explored in their publications include animal vocal communication and behavior, animal behavior and reproduction, marine animal studies overview, topic modeling, natural language processing techniques, advanced text analysis techniques, and music and audio processing.

Frequent coauthors in their research collaborations include:

  • Anja T. Zai
  • Nicolas Giret
  • Nianlong Gu
  • Tomas Tomka
  • Jörg Rychen

The most common venues for publishing their work include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), PLoS ONE, and the Zurich Open Repository and Archive (University of Zurich).

Representative recent publications by Richard H. R. Hahnloser include:

  • Nearest neighbours reveal fast and slow components of motor learning, 2020, Nature
  • Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds, 2020, Cell Reports
  • MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Sensory substitution reveals a manipulation bias, 2020, Nature Communications
  • Undirected singing rate as a non-invasive tool for welfare monitoring in isolated male zebra finches, 2020, PLoS ONE

Best Publications

  • Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

    R. H R Hahnloser;R. Sarpeshkar;R. Sarpeshkar;M. A. Mahowald;R. J. Douglas

  • An ultra-sparse code underlies the generation of neural sequences in a songbird.

    Richard H. R. Hahnloser;Alexay A. Kozhevnikov;Michale S. Fee

  • Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

    Ila R. Fiete;Walter Senn;Claude Z.H. Wang;Richard H.R. Hahnloser

  • Neural mechanisms of vocal sequence generation in the songbird.

    Michale S. Fee;Alexay A. Kozhevnikov;Richard H.R. Hahnloser

  • Neural processing of auditory feedback during vocal practice in a songbird

    Georg B. Keller;Richard H. R. Hahnloser

  • Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

    Richard H. R. Hahnloser;H. Sebastian Seung

  • Deep sleep maintains learning efficiency of the human brain

    Sara Fattinger;Sara Fattinger;Toon T. de Beukelaar;Kathy L. Ruddy;Carina Volk;Carina Volk

  • Double-ring network model of the head-direction system.

    Xiaohui Xie;Richard H. R. Hahnloser;H. Sebastian Seung

  • On the piecewise analysis of networks of linear threshold neurons

    Unknown

  • Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex

    Galen F. Lynch;Tatsuo S. Okubo;Alexander Hanuschkin;Richard H.R. Hahnloser

  • Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong

    Ila R. Fiete;Richard H.R. Hahnloser;Michale S. Fee;H. Sebastian Seung;H. Sebastian Seung

  • Rapid interhemispheric switching during vocal production in a songbird.

    Claude Z. H Wang;Joshua A Herbst;Georg B Keller;Richard H. R Hahnloser

  • Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird.

    Richard H. R. Hahnloser;Alexay A. Kozhevnikov;Michale S. Fee

  • Reconstruction of vocal interactions in a group of small songbirds

    Victor N Anisimov;Joshua A Herbst;Andrei N Abramchuk;Alexander V Latanov

  • Selectively grouping neurons in recurrent networks of lateral inhibition

    Xiaohui Xie;Richard H. R. Hahnloser;H. Sebastin Seung

  • Nearest neighbours reveal fast and slow components of motor learning

    Sepp Kollmorgen;Richard H. R. Hahnloser;Valerio Mante

  • Feedback interactions between neuronal pointers and maps for attentional processing

    Richard Hahnloser;Richard Hahnloser;Rodney J. Douglas;Misha Mahowald;Klaus Hepp

  • Timing of ossification in duck, quail, and zebra finch: intraspecific variation, heterochronies, and life history evolution.

    Christian Mitgutsch;Corinne Wimmer;Marcelo R. Sánchez-Villagra;Richard Hahnloser

  • Auditory representations and memory in birdsong learning.

    Richard H R Hahnloser;Andreas Kotowicz

  • Projection Neuron Circuits Resolved Using Correlative Array Tomography

    Daniele Oberti;Moritz A. Kirschmann;Richard H. R. Hahnloser

  • Spike sorting with hidden Markov models

    Joshua A. Herbst;Stephan Gammeter;David Ferrero;Richard H.R. Hahnloser

Frequent Co-Authors

Rahul Sarpeshkar
Rahul Sarpeshkar Dartmouth College
Reto Huber
Reto Huber University of Zurich
Manfred Gahr
Manfred Gahr Max Planck Society
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Fritjof Helmchen
Fritjof Helmchen University of Zurich
Allison J. Doupe
Allison J. Doupe University of California, San Francisco

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