Michale Fee

Q: What Schools Are Affiliated With Michale Fee

Michale Fee is affiliated with the following schools: California Institute of Technology, University of Michigan, Massachusetts Institute of Technology, Stanford University

Michale Fee's AcademicInfluence.com Rankings

Michale Fee

Biology

#11536

World Rank

#14938

Historical Rank

#2565

USA Rank

Neuroscience

#1876

World Rank

#1932

Historical Rank

#263

USA Rank

biology Degrees

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Biology

Michale Fee's Degrees

PhD Neurobiology California Institute of Technology
Bachelors Physics California Institute of Technology

Why Is Michale Fee Influential?

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According to Wikipedia, Michale Sean Fee is an American neuroscientist who works on the neural mechanisms of sequence generation and learning. Michale Fee is faculty in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology, and an Investigator in the McGovern Institute for Brain Research. His laboratory studies how songbirds generate and learn complex vocal sequences.

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Michale Fee's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Miniature Head-Mounted Two-Photon Microscope High-Resolution Brain Imaging in Freely Moving Animals (2001) (562)
An ultra-sparse code underliesthe generation of neural sequences in a songbird (2002) (503)
Vocal Experimentation in the Juvenile Songbird Requires a Basal Ganglia Circuit (2005) (496)
Using temperature to analyze temporal dynamics in the songbird motor pathway (2008) (442)
An Energy-Efficient Micropower Neural Recording Amplifier (2007) (438)
Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability (1996) (368)
Support for a synaptic chain model of neuronal sequence generation (2010) (357)
Encoding Pheromonal Signals in the Accessory Olfactory Bulb of Behaving Mice (2003) (347)
A basal ganglia-forebrain circuit in the songbird biases motor output to avoid vocal errors (2009) (281)
Neural Mechanisms of Vocal Sequence Generation in the Songbird (2004) (248)
The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird (1998) (242)
Central versus peripheral determinants of patterned spike activity in rat vibrissa cortex during whisking. (1997) (240)
Singing-related activity of identified HVC neurons in the zebra finch. (2007) (238)
Variability of extracellular spike waveforms of cortical neurons. (1996) (211)
A hypothesis for basal ganglia-dependent reinforcement learning in the songbird (2011) (201)
Ensemble Coding of Vocal Control in Birdsong (2005) (199)
Miniature motorized microdrive and commutator system for chronic neural recording in small animals (2001) (189)
A Specialized Forebrain Circuit for Vocal Babbling in the Juvenile Songbird (2008) (180)
Waves and stimulus-modulated dynamics in an oscillating olfactory network. (1994) (174)
Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances. (2007) (162)
Dynamics of propagating waves in the olfactory network of a terrestrial mollusk: an electrical and optical study. (1994) (159)
The songbird as a model for the generation and learning of complex sequential behaviors. (2010) (128)
Changes in the neural control of a complex motor sequence during learning. (2011) (123)
Growth and splitting of neural sequences in songbird vocal development (2015) (109)
Scanning electromagnetic transmission line microscope with sub-wavelength resolution (1989) (105)
A role for descending auditory cortical projections in songbird vocal learning (2014) (101)
Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. (2004) (97)
Low-Power Circuits for Brain–Machine Interfaces (2008) (96)
Measurement of the positronium 13S1-23S1 interval by continuous-wave two-photon excitation (1993) (96)
Active Stabilization of Electrodes for Intracellular Recording in Awake Behaving Animals (2000) (96)
A cortical motor nucleus drives the basal ganglia-recipient thalamus in singing birds (2012) (89)
Basal ganglia output to the thalamus: still a paradox (2013) (87)
Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird. (2006) (82)
Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex (2016) (75)
Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience (2018) (71)
Vocal babbling in songbirds requires the basal ganglia-recipient motor thalamus but not the basal ganglia. (2011) (67)
Singing-Related Neural Activity Distinguishes Two Putative Pallidal Cell Types in the Songbird Basal Ganglia: Comparison to the Primate Internal and External Pallidal Segments (2010) (66)
Control of Vocal and Respiratory Patterns in Birdsong: Dissection of Forebrain and Brainstem Mechanisms Using Temperature (2011) (61)
Measurement of the linear and nonlinear mechanical properties of the oscine syrinx: Implications for function (2002) (58)
Singing-related neural activity distinguishes four classes of putative striatal neurons in the songbird basal ganglia. (2010) (57)
Wireless neural stimulation in freely behaving small animals. (2009) (57)
A Miniature Head-Mounted Neurotechnique Two-Photon Microscope: High-Resolution Brain Imaging in Freely Moving Animals (2001) (53)
Ultra-miniature headstage with 6-channel drive and vacuum-assisted micro-wire implantation for chronic recording from the neocortex (1999) (53)
Sleep-related spike bursts in HVC are driven by the nucleus interface of the nidopallium. (2007) (51)
Two Distinct Modes of Forebrain Circuit Dynamics Underlie Temporal Patterning in the Vocalizations of Young Songbirds (2011) (50)
Novel Approaches to Monitor and Manipulate Single Neurons In Vivo (2004) (46)
Natural Changes in Brain Temperature Underlie Variations in Song Tempo during a Mating Behavior (2012) (43)
The role of efference copy in striatal learning (2014) (42)
Integration of cortical and pallidal inputs in the basal ganglia-recipient thalamus of singing birds. (2012) (40)
Learning to breathe and sing: development of respiratory-vocal coordination in young songbirds. (2011) (39)
Wandering Neuronal Migration in the Postnatal Vertebrate Forebrain (2012) (36)
Oculomotor learning revisited: a model of reinforcement learning in the basal ganglia incorporating an efference copy of motor actions (2012) (34)
Analyzing the dynamics of brain circuits with temperature: Design and implementation of a miniature thermoelectric device (2011) (31)
Rhythmic syllable-related activity in a songbird motor thalamic nucleus necessary for learned vocalizations (2017) (29)
An Automated Procedure for Evaluating Song Imitation (2014) (28)
Building a state space for song learning (2018) (21)
An anatomical substrate of credit assignment in reinforcement learning (2020) (19)
New methods for localizing and manipulating neuronal dynamics in behaving animals (2011) (13)
Erratum: Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability (J. Neurosci. Methods 69 (1996) (175-188)) (PII: S0165020796000507) (1997) (13)
In vivo recording of single-unit activity during singing in zebra finches. (2014) (11)
Correction: A role for descending auditory cortical projections in songbird vocal learning (2014) (10)
Computational training for the next generation of neuroscientists (2017) (10)
erratum: An ultra-sparse code underlies the generation of neural sequences in a songbird (2003) (8)
Low-Power Circuits for Brain-Machine Interfaces (2007) (8)
An avian cortical circuit for chunking tutor song syllables into simple vocal-motor units (2020) (8)
Zebra Finches in Biomedical Research (2015) (5)
Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird (2016) (4)
Author response: A role for descending auditory cortical projections in songbird vocal learning (2014) (4)
A Novel Optical Design Enabling Lightweight and Large Field-of-View Head-Mounted Microscopes (2021) (4)
Motor modulation of sensory input: Exploratory whisking by rat as a model system (1997) (4)
Evidence for CW 1S-2S Excitation of Positronium (1992) (2)
SyConn2: dense synaptic connectivity inference for volume electron microscopy (2022) (2)
Erratum to `Automatic sorting of multiple unit neuronal signals in the presence of anisotropic and non-Gaussian variability' 1 SSDI of the original article: 0165-0207(96)00050-7 1 [J. Neurosci. Methods 69 (1996) 175–188] (1997) (1)
Precision Laser Spectroscopy of Positronium - Recent Progress (1989) (1)
Self-organization of songbird neural sequences during social isolation (2022) (1)
Glutamate Receptor Activation of GIRK Channels Slow Synaptic Inhibition Mediated by Metabotropic (2015) (0)
Observed pre-motor firing patterns constrain a network model for vocal learning (2007) (0)
Making the paper: Michale Fee (2008) (0)
Auditory Forebrain Feature Analysis of Natural Sounds in the Songbird (2015) (0)
Avian Thalamic Nucleus During Song Learning Intrinsic and Synaptic Properties of Neurons in an (2015) (0)
The role of nonlineardynamics of thesyrinx in the vocalizationsof a songbird (0)
Music in the brain: The neuronal control of bird song (2016) (0)
Behavioral / Systems / Cognitive Ensemble Coding of Vocal Control in Birdsong (2005) (0)
Singing-related neural activity distinguishes four classes of putative striatal neurons 4 in the songbird basal ganglia 5 6 7 (2010) (0)
Corrigendum to “A hypothesis for basal ganglia-dependent reinforcement learning in the songbird” [Neuroscience 198 (2011) 152–170] (2013) (0)
Contents page + Editorial Board + Cover figure legend (2013) (0)
An Automated Procedure for Evaluating Song Imitation Citation (2014) (0)
Basal-Ganglia Pathway of the Songbird Sleep-Related Neural Activity in a Premotor and a (2006) (0)
From the blogosphere (2008) (0)

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Other Resources About Michale Fee

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What Schools Are Affiliated With Michale Fee?

Michale Fee is affiliated with the following schools:

Michale Fee's Academic­Influence.com Rankings