D-Index & Metrics Best Publications
Michale S. Fee

Michale S. Fee

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 46 Citations 10,048 76 World Ranking 3785 National Ranking 1717

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Quantum mechanics
  • Neuron

Michale S. Fee mainly focuses on Neuroscience, Songbird, Anatomy, Nucleus and Forebrain. Neuroscience is a component of his Zebra finch, Sensory system and Electromyography studies. His biological study deals with issues like Singing, which deal with fields such as Working hypothesis and Motor control.

His Anatomy research integrates issues from Microscope, Juvenile, Optical fiber, Nidopallium and Basal ganglia. The various areas that he examines in his Nucleus study include Electrophysiology, Olfactory system, Sex pheromone, Central nervous system and Biological neural network. His research investigates the connection between Forebrain and topics such as Vocal learning that intersect with issues in Auditory feedback.

His most cited work include:

  • An ultra-sparse code underlies the generation of neural sequences in a songbird. (816 citations)
  • A Miniature Head-Mounted Two-Photon Microscope: High-Resolution Brain Imaging in Freely Moving Animals (493 citations)
  • Vocal experimentation in the juvenile songbird requires a basal ganglia circuit. (412 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Neuroscience, Songbird, Basal ganglia, Zebra finch and Nucleus. His Neuroscience research includes elements of Anatomy and Reinforcement learning. The various areas that Michale S. Fee examines in his Songbird study include Singing, Arcopallium, Rhythm, Vocal learning and Biological neural network.

His work on Medium spiny neuron as part of general Basal ganglia research is frequently linked to Basal, thereby connecting diverse disciplines of science. Michale S. Fee focuses mostly in the field of Zebra finch, narrowing it down to matters related to Antidromic and, in some cases, Vocal production. His research integrates issues of Depolarization and Membrane potential in his study of Nucleus.

He most often published in these fields:

  • Neuroscience (58.00%)
  • Songbird (34.00%)
  • Basal ganglia (21.00%)

What were the highlights of his more recent work (between 2012-2020)?

  • Neuroscience (58.00%)
  • Songbird (34.00%)
  • Singing (11.00%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Neuroscience, Songbird, Singing, Basal ganglia and Zebra finch. His biological study spans a wide range of topics, including Dimensionality reduction and Reinforcement learning. Michale S. Fee has included themes like Theoretical computer science, Rhythm and Communication, Vocal learning in his Songbird study.

His Communication research is multidisciplinary, incorporating perspectives in Arcopallium and Auditory cortex. Michale S. Fee has researched Singing in several fields, including Speech recognition, Key, Electrophysiology and Piano. He interconnects Zoology, Passerine, Captivity and Ecology in the investigation of issues within Zebra finch.

Between 2012 and 2020, his most popular works were:

  • Growth and splitting of neural sequences in songbird vocal development (87 citations)
  • A role for descending auditory cortical projections in songbird vocal learning (77 citations)
  • Basal ganglia output to the thalamus: still a paradox (69 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Quantum mechanics
  • Neuron

Michale S. Fee spends much of his time researching Neuroscience, Songbird, Singing, Rhythm and Vocal learning. The Neuroscience study combines topics in areas such as Feature and Reinforcement learning. Michale S. Fee combines subjects such as Arcopallium, Imitation and Motor learning with his study of Singing.

His work deals with themes such as Syllable, Electrophysiology and Interneuron, which intersect with Rhythm. The study incorporates disciplines such as Key and Auditory cortex in addition to Vocal learning. His studies in Zebra finch integrate themes in fields like Biological neural network and Bioinformatics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
Nature (2002)

1103 Citations

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.
Neuron (2001)

740 Citations

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

Bence P Ölveczky;Aaron S Andalman;Michale S Fee.
PLOS Biology (2005)

539 Citations

An Energy-Efficient Micropower Neural Recording Amplifier

W. Wattanapanitch;M. Fee;R. Sarpeshkar.
IEEE Transactions on Biomedical Circuits and Systems (2007)

525 Citations

Using temperature to analyse temporal dynamics in the songbird motor pathway

Michael A. Long;Michale S. Fee.
Nature (2008)

487 Citations

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

Michale S. Fee;Partha P. Mitra;David Kleinfeld.
Journal of Neuroscience Methods (1996)

458 Citations

Encoding Pheromonal Signals in the Accessory Olfactory Bulb of Behaving Mice

Minmin Luo;Michale S. Fee;Lawrence C. Katz.
Science (2003)

389 Citations

A specialized forebrain circuit for vocal babbling in the juvenile songbird

Dmitriy Aronov;Aaron S. Andalman;Michale S. Fee.
Science (2008)

372 Citations

Support for a synaptic chain model of neuronal sequence generation

Michael A. Long;Dezhe Z. Jin;Michale S. Fee.
Nature (2010)

352 Citations

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

Aaron S. Andalman;Michale S. Fee.
Proceedings of the National Academy of Sciences of the United States of America (2009)

326 Citations

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