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 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.
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.
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.
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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.
PLOS Biology (2005)
An Energy-Efficient Micropower Neural Recording Amplifier
W. Wattanapanitch;M. Fee;R. Sarpeshkar.
IEEE Transactions on Biomedical Circuits and Systems (2007)
Using temperature to analyse temporal dynamics in the songbird motor pathway
Michael A. Long;Michale S. Fee.
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)
Encoding Pheromonal Signals in the Accessory Olfactory Bulb of Behaving Mice
Minmin Luo;Michale S. Fee;Lawrence C. Katz.
A specialized forebrain circuit for vocal babbling in the juvenile songbird
Dmitriy Aronov;Aaron S. Andalman;Michale S. Fee.
Support for a synaptic chain model of neuronal sequence generation
Michael A. Long;Dezhe Z. Jin;Michale S. Fee.
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)
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