World's Best Scientists 2026 revealed!
Michale S. Fee

Michale S. Fee

D-Index & Metrics

Neuroscience

D-Index
51
Citations
12084
World Ranking
5461
National Ranking
2430

Overview

Michale S. Fee is affiliated with MIT in the United States and has contributed to several research areas primarily within biochemistry, genetics, and molecular biology, as well as agricultural and biological sciences. Their work spans multiple fields including ecology, evolution, behavior and systematics, biophysics, developmental biology, cognition neuroscience, and neural dynamics. Michale's research reflects an interdisciplinary approach focused on animal behavior and reproduction, vocal communication, advanced microscopy techniques, and neural function.

The main topics of their research include:

  • Animal Behavior and Reproduction
  • Animal Vocal Communication and Behavior
  • Advanced Fluorescence Microscopy Techniques
  • Marine Animal Studies Overview
  • Neural Dynamics and Brain Function
  • Advanced Electron Microscopy Techniques and Applications
  • Advanced Memory and Neural Computing

Michale has published extensively in several scientific journals and preprint platforms. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory) with four papers, Nature Methods with two papers, as well as contributions to Nature Communications and eLife.

Representative papers authored or co-authored by Michale include:

  • "An optical design enabling lightweight and large field-of-view head-mounted microscopes" (2023, Nature Methods)
  • "SyConn2: dense synaptic connectivity inference for volume electron microscopy" (2022, Nature Methods)
  • "An avian cortical circuit for chunking tutor song syllables into simple vocal-motor units" (2020, Nature Communications)
  • "Self-organization of songbird neural sequences during social isolation" (2023, eLife)
  • "A Novel Optical Design Enabling Lightweight and Large Field-of-View Head-Mounted Microscopes" (2021, bioRxiv)

Collaboration is a consistent aspect of Michale's research, with frequent co-authors including Emily L. Mackevicius, Shijie Gu, Joseph R. Scherrer, Galen F. Lynch, and Jie Zhang. The partnership with these researchers spans several years and multiple publications, highlighting an ongoing network of scholarly engagement.

Best Publications

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

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

  • A Miniature Head-Mounted Two-Photon Microscope: High-Resolution Brain Imaging in Freely Moving Animals

    Fritjof Helmchen;Michale S. Fee;David W. Tank;Winfried Denk

  • Vocal experimentation in the juvenile songbird requires a basal ganglia circuit.

    Bence P Ölveczky;Aaron S Andalman;Michale S Fee

  • Using temperature to analyse temporal dynamics in the songbird motor pathway

    Michael A. Long;Michale S. Fee

  • An Energy-Efficient Micropower Neural Recording Amplifier

    W. Wattanapanitch;M. Fee;R. Sarpeshkar

  • Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability.

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Support for a synaptic chain model of neuronal sequence generation

    Michael A. Long;Dezhe Z. Jin;Michale S. Fee

  • A specialized forebrain circuit for vocal babbling in the juvenile songbird

    Dmitriy Aronov;Aaron S. Andalman;Michale S. Fee

  • Encoding Pheromonal Signals in the Accessory Olfactory Bulb of Behaving Mice

    Minmin Luo;Michale S. Fee;Lawrence C. Katz

  • A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors

    Aaron S. Andalman;Michale S. Fee

  • Neural mechanisms of vocal sequence generation in the songbird.

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

  • The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird.

    Michale S. Fee;Boris Shraiman;Bijan Pesaran;Partha P. Mitra

  • Singing-Related Activity of Identified HVC Neurons in the Zebra Finch

    Alexay A. Kozhevnikov;Michale S. Fee

  • Central Versus Peripheral Determinants of Patterned Spike Activity in Rat Vibrissa Cortex During Whisking

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Ensemble Coding of Vocal Control in Birdsong

    Anthony Leonardo;Michale S. Fee

  • A hypothesis for basal ganglia-dependent reinforcement learning in the songbird.

    Michale S. Fee;Jesse H. Goldberg

  • Variability of extracellular spike waveforms of cortical neurons

    Michale S. Fee;Partha P. Mitra;David Kleinfeld

  • Miniature motorized microdrive and commutator system for chronic neural recording in small animals.

    Michale S Fee;Anthony Leonardo

  • Waves and stimulus-modulated dynamics in an oscillating olfactory network.

    K R Delaney;A Gelperin;M S Fee;J A Flores

  • Model of Birdsong Learning Based on Gradient Estimation by Dynamic Perturbation of Neural Conductances

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

Frequent Co-Authors

David Kleinfeld
David Kleinfeld University of California, San Diego
Richard H. R. Hahnloser
Richard H. R. Hahnloser University of Zurich
Steven Chu
Steven Chu Stanford University
Karsten Danzmann
Karsten Danzmann Max Planck Institute for Gravitational Physics
Rahul Sarpeshkar
Rahul Sarpeshkar Dartmouth College
David W. Tank
David W. Tank Princeton University
Fritjof Helmchen
Fritjof Helmchen University of Zurich
Theodor W. Hänsch
Theodor W. Hänsch Max Planck Institute of Quantum Optics
Allison J. Doupe
Allison J. Doupe University of California, San Francisco
David J. Perkel
David J. Perkel University of Washington

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