Yu HU
胡禹
PhD in Applied Mathematics
University of Washington, 2014

Assistant Professor
Department of Mathematics
Division of Life Science



(852) 2358 7415
mahy@ust.hk
Room 3428
Personal Web

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ORCID
0000-0003-0790-1605

Scopus ID
55695331100




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest

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Applied mathematics
Neuroscience
Modeling and simulations



Publications

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All Years 19 2022 0 2021 1 2020 0 2019 0 2018 3 2017 1 2016 14

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2021 1

The spectrum of covariance matrices of randomly connected recurrent neuronal networks
Computational and Systems Neuroscience (Cosyne) 2021, Online, 23-26 February 2021
Hu, Yu; Sompolinsky, Haim Conference paper

2018 3

Brainwide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish
Neuron, v. 100, (4), November 2018, p. 876-890.e5
Chen Xiuye; Mu, Yu; Hu, Yu; Kuan, Aaron T.; Nikitchenko, Maxim; Randlett, Owen; Sompolinsky, Haim; Engert, Florian; Ahrens, Misha B. Article
Feedback Through Graph Motifs Relates Structure and Function in Complex Networks
Physical Review E, v. 98, (6), December 2018, article number 062312
Hu, Yu; Brunton, Steven L.; Cain, Nicholas; Mihalas, Stefan; Kutz, J. Nathan; Shea-Brown, Eric Article
Understanding Functional Clusters in the Larval Zebrash Brain Using Neural Circuit Models
Computational and Systems Neuroscience (Cosyne 2018), Colorado, USA, 1-4 March 2018
Hu, Yu; Chen, Xiuye; Mu, Yu; Kuan, Aaron T; Nikitchenko, Max; Randlett, Owen; Schier, A.; Engert, F.; Ahrens, M.B.; Sompolinsky, Haim Conference paper

2017 1

From the Statistics of Connectivity to the Statistics of Spike Times in Neuronal Networks
Current Opinion in Neurobiology, v. 46, October 2017, p. 109-119
Ocker, Gabriel Koch; Hu, Yu; Buice, Michael A.; Doiron, Brent; Josic, Kresimir; Rosenbaum, Robert; Shea-Brown, Eric Article

2016 1

Poster: Low dimensional structures in local variability in a multi-scale neural circuit model
Sloan-Swartz Meeting for Computational Neuroscience 2016, Pasadena, CA, 2016
Hu, Yu; Haim Sompolinsky Conference paper

2015 2

Brain-wide Mapping of Functional Neuron Groups in Larval Zebrash
SfN Neuroscience Meeting 2015., Chicago, 2015
Chen, Xiuye; Mu, Yu; Hu, Yu; J. Wittenbach; J. Freeman; F. Engert; M. Ahrens Conference paper
Poster:from Structure to Dynamics: Motif Cumulant Expansion for Higher-order Correlations
Cosyne 2015, Salt Lake City, 2015
Hu, Yu; K. Josic; Shea-Brown, Eric; M. Buice Conference paper

2014 4

Local Paths to Global Coherence: Cutting Networks Down to Size
Physical Review E, v. 89, (3), March 20147, article number 032802
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric Article
The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes
PLoS Computational Biology, v. 10, (2), February 2014, article number e1003469
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric Article
Poster: How Connectivity Motifs Can Shape Signal Filtering in Recurrent Neural Networks
Bernstein Conference 2014, Germany, 2014
Hu, Yu; Steven L. Brunton; J. Nathan Kutz; E. Shea-Brown Conference paper
Poster: the Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Population Codes
Cosyne 2014, Salt Lake City, 2014
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric Conference paper

2013 5

A Generative Spike Train Model With Time-structured Higher Order Correlations
Frontiers in Computational Neuroscience, v. 7, (JUN), June 2013, article number UNSP 84
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir Article
Motif Statistics and Spike Correlations in Neuronal Networks
Journal of Statistical Mechanics: Theory and Experiment, v. 2013, (3), March 2013, article number P03012
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric Article
Poster: Consistency Requirements Determine Optimal Noise Correlations in Neural Populations
CNS 2013, Paris, 2013
Joel Zylberberg; Maxwell Turner; Hu, Yu; Jon Cafaro; Greg Schwartz; Fred Rieke; Eric Shea-Brown Conference paper
Poster: How Connectivity Motifs Impact Collective Spiking in Neural Circuits
SfN Neuroscience Meeting 2013, San Diego, California, 2013
Hu, Yu; Trousdale, James; Steven L. Brunton; J. Nathan Kutz; Josic, Kresimir; Eric Shea-Brown Conference paper
Poster: Network motif statistics and collective spiking in neuronal networks
Cosyne 2013, Salt Lake City , 2013
Hu, Yu; Trousdale, James; Josic, Kresimir; Eric Shea-Brown Conference paper

2012 2

Impact of Network Structure and Cellular Response on Spike Time Correlations
PLoS Computational Biology, v. 8, (3), March 2012, article number e1002408
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir Article
Poster: Motif Statistics and Spike Correlations in Neuronal Networks
CNS 2012, USA, 2012
Hu, Yu; James Trousdale; Kresimir Josic; Eric Shea-Brown Conference paper


Expand All Collapse All


Conference paper 1

The spectrum of covariance matrices of randomly connected recurrent neuronal networks
Computational and Systems Neuroscience (Cosyne) 2021, Online, 23-26 February 2021
Hu, Yu; Sompolinsky, Haim


Expand All Collapse All


Article 2

Brainwide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish
Neuron, v. 100, (4), November 2018, p. 876-890.e5
Chen Xiuye; Mu, Yu; Hu, Yu; Kuan, Aaron T.; Nikitchenko, Maxim; Randlett, Owen; Sompolinsky, Haim; Engert, Florian; Ahrens, Misha B.
Feedback Through Graph Motifs Relates Structure and Function in Complex Networks
Physical Review E, v. 98, (6), December 2018, article number 062312
Hu, Yu; Brunton, Steven L.; Cain, Nicholas; Mihalas, Stefan; Kutz, J. Nathan; Shea-Brown, Eric

Conference paper 1

Understanding Functional Clusters in the Larval Zebrash Brain Using Neural Circuit Models
Computational and Systems Neuroscience (Cosyne 2018), Colorado, USA, 1-4 March 2018
Hu, Yu; Chen, Xiuye; Mu, Yu; Kuan, Aaron T; Nikitchenko, Max; Randlett, Owen; Schier, A.; Engert, F.; Ahrens, M.B.; Sompolinsky, Haim


Expand All Collapse All


Article 1

From the Statistics of Connectivity to the Statistics of Spike Times in Neuronal Networks
Current Opinion in Neurobiology, v. 46, October 2017, p. 109-119
Ocker, Gabriel Koch; Hu, Yu; Buice, Michael A.; Doiron, Brent; Josic, Kresimir; Rosenbaum, Robert; Shea-Brown, Eric


Expand All Collapse All


Conference paper 1

Poster: Low dimensional structures in local variability in a multi-scale neural circuit model
Sloan-Swartz Meeting for Computational Neuroscience 2016, Pasadena, CA, 2016
Hu, Yu; Haim Sompolinsky


Expand All Collapse All


Conference paper 2

Brain-wide Mapping of Functional Neuron Groups in Larval Zebrash
SfN Neuroscience Meeting 2015., Chicago, 2015
Chen, Xiuye; Mu, Yu; Hu, Yu; J. Wittenbach; J. Freeman; F. Engert; M. Ahrens
Poster:from Structure to Dynamics: Motif Cumulant Expansion for Higher-order Correlations
Cosyne 2015, Salt Lake City, 2015
Hu, Yu; K. Josic; Shea-Brown, Eric; M. Buice


Expand All Collapse All


Article 2

Local Paths to Global Coherence: Cutting Networks Down to Size
Physical Review E, v. 89, (3), March 20147, article number 032802
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric
The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes
PLoS Computational Biology, v. 10, (2), February 2014, article number e1003469
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric

Conference paper 2

Poster: How Connectivity Motifs Can Shape Signal Filtering in Recurrent Neural Networks
Bernstein Conference 2014, Germany, 2014
Hu, Yu; Steven L. Brunton; J. Nathan Kutz; E. Shea-Brown
Poster: the Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Population Codes
Cosyne 2014, Salt Lake City, 2014
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric


Expand All Collapse All


Article 2

A Generative Spike Train Model With Time-structured Higher Order Correlations
Frontiers in Computational Neuroscience, v. 7, (JUN), June 2013, article number UNSP 84
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir
Motif Statistics and Spike Correlations in Neuronal Networks
Journal of Statistical Mechanics: Theory and Experiment, v. 2013, (3), March 2013, article number P03012
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric

Conference paper 3

Poster: Consistency Requirements Determine Optimal Noise Correlations in Neural Populations
CNS 2013, Paris, 2013
Joel Zylberberg; Maxwell Turner; Hu, Yu; Jon Cafaro; Greg Schwartz; Fred Rieke; Eric Shea-Brown
Poster: How Connectivity Motifs Impact Collective Spiking in Neural Circuits
SfN Neuroscience Meeting 2013, San Diego, California, 2013
Hu, Yu; Trousdale, James; Steven L. Brunton; J. Nathan Kutz; Josic, Kresimir; Eric Shea-Brown
Poster: Network motif statistics and collective spiking in neuronal networks
Cosyne 2013, Salt Lake City , 2013
Hu, Yu; Trousdale, James; Josic, Kresimir; Eric Shea-Brown


Expand All Collapse All


Article 1

Impact of Network Structure and Cellular Response on Spike Time Correlations
PLoS Computational Biology, v. 8, (3), March 2012, article number e1002408
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir

Conference paper 1

Poster: Motif Statistics and Spike Correlations in Neuronal Networks
CNS 2012, USA, 2012
Hu, Yu; James Trousdale; Kresimir Josic; Eric Shea-Brown


Expand All Collapse All


2016 1

Poster: Low dimensional structures in local variability in a multi-scale neural circuit model
Sloan-Swartz Meeting for Computational Neuroscience 2016, Pasadena, CA, 2016
Hu, Yu; Haim Sompolinsky Conference paper

2015 2

Brain-wide Mapping of Functional Neuron Groups in Larval Zebrash
SfN Neuroscience Meeting 2015., Chicago, 2015
Chen, Xiuye; Mu, Yu; Hu, Yu; J. Wittenbach; J. Freeman; F. Engert; M. Ahrens Conference paper
Poster:from Structure to Dynamics: Motif Cumulant Expansion for Higher-order Correlations
Cosyne 2015, Salt Lake City, 2015
Hu, Yu; K. Josic; Shea-Brown, Eric; M. Buice Conference paper

2014 4

Local Paths to Global Coherence: Cutting Networks Down to Size
Physical Review E, v. 89, (3), March 20147, article number 032802
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric Article
The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes
PLoS Computational Biology, v. 10, (2), February 2014, article number e1003469
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric Article
Poster: How Connectivity Motifs Can Shape Signal Filtering in Recurrent Neural Networks
Bernstein Conference 2014, Germany, 2014
Hu, Yu; Steven L. Brunton; J. Nathan Kutz; E. Shea-Brown Conference paper
Poster: the Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Population Codes
Cosyne 2014, Salt Lake City, 2014
Hu, Yu; Zylberberg, Joel; Shea-Brown, Eric Conference paper

2013 5

A Generative Spike Train Model With Time-structured Higher Order Correlations
Frontiers in Computational Neuroscience, v. 7, (JUN), June 2013, article number UNSP 84
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir Article
Motif Statistics and Spike Correlations in Neuronal Networks
Journal of Statistical Mechanics: Theory and Experiment, v. 2013, (3), March 2013, article number P03012
Hu, Yu; Trousdale, James; Josic, Kresimir; Shea-Brown, Eric Article
Poster: Consistency Requirements Determine Optimal Noise Correlations in Neural Populations
CNS 2013, Paris, 2013
Joel Zylberberg; Maxwell Turner; Hu, Yu; Jon Cafaro; Greg Schwartz; Fred Rieke; Eric Shea-Brown Conference paper
Poster: How Connectivity Motifs Impact Collective Spiking in Neural Circuits
SfN Neuroscience Meeting 2013, San Diego, California, 2013
Hu, Yu; Trousdale, James; Steven L. Brunton; J. Nathan Kutz; Josic, Kresimir; Eric Shea-Brown Conference paper
Poster: Network motif statistics and collective spiking in neuronal networks
Cosyne 2013, Salt Lake City , 2013
Hu, Yu; Trousdale, James; Josic, Kresimir; Eric Shea-Brown Conference paper

2012 2

Impact of Network Structure and Cellular Response on Spike Time Correlations
PLoS Computational Biology, v. 8, (3), March 2012, article number e1002408
Trousdale, James; Hu, Yu; Shea-Brown, Eric; Josic, Kresimir Article
Poster: Motif Statistics and Spike Correlations in Neuronal Networks
CNS 2012, USA, 2012
Hu, Yu; James Trousdale; Kresimir Josic; Eric Shea-Brown Conference paper


No Publications


No Publications


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 2 2020-21 Summer 0 2020-21 Spring 5 2020-21 Winter 0 2020-21 Fall 5

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LIFS6112E Current Topics in Neuroscience
MATH2411 Applied Statistics


LIFS4961 Biochemistry and Cell Biology Capstone Project
LIFS4963 Biotechnology Capstone Project
LIFS6000C Biostatistics: Theory and Application in Life Science Research
LIFS6111N Life Science Postgraduate Student Seminar
MATH6380T Topics in Applied Dynamical Systems


LIFS4960 Biological Science Capstone Project
LIFS4963 Biotechnology Capstone Project
LIFS6112D Current Topics in Neuroscience
MATH2411 Applied Statistics
SCIE4500 IRE Research Project II


No Teaching Assignments


No Teaching Assignments


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)

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Current RPGs

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Doctor of Philosophy MAI, Weihao
Life Science( 2019 - )









ProjectsFrom January 2020 to December 2022

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All Projects 1

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No Projects.
Modeling dynamics and interactions between brain areas via non-local recurrent connections


基於非局部回返连接的脑区相互作用动力学模型 Leading


RGC - Early Career Scheme


Project Team (HKUST)
HU Yu (Lead)


2021 -