Dezhe Jin
Associate Professor of Physics
-
0104 Davey Lab
University Park, PA - dzj2@psu.edu
- 814-863-6673
Research Summary
Computational models of neural basis of motor control and learning; theoretical analysis of biological neural networks.
Huck Graduate Students
Huck Affiliations
Publication Tags
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Neurons Animals Acoustics Music Auditory Feedback Networks (Circuits) Markov Chain Brain Animal Communication Songbirds Finches Neuron Song Noise Amphibia Feedback History Hearing Shape Animal Behaviour Repetition Markov Processes Temperature Recognition (Psychology) AnimalMost Recent Publications
Addition of new neurons and the emergence of a local neural circuit for precise timing
Yehen Tupikov, Dezhe Jin, PLoS Computational Biology on p. e1008824
Motor cortex analogue neurons in songbirds utilize Kv3 channels to generate ultranarrow spikes
Benjamin M. Zemel, Alexander A. Nevue, Leonardo E.S. Tavares, Andre Dagostin, Peter V. Lovell, Dezhe Z. Jin, Claudio V. Mello, Henrique von Gersdorff, 2023, eLife
Addition of new neurons and the emergence of a local neural circuit for precise timing
Yevhen Tupikov, Dezhe Z. Jin, 2021, PLoS Computational Biology
Local Axonal Conduction Shapes the Spatiotemporal Properties of Neural Sequences
Robert Egger, Yevhen Tupikov, Margot Elmaleh, Kalman A. Katlowitz, Sam E. Benezra, Michel A. Picardo, Felix Moll, Jörgen Kornfeld, Dezhe Z. Jin, Michael A. Long, 2020, Cell on p. 537-548.e12
ShuTu: Open-Source Software for Efficient and Accurate Reconstruction of Dendritic Morphology
Dezhe Z. Jin, Ting Zhao, David L. Hunt, Rachel P. Tillage, Ching Lung Hsu, Nelson Spruston, 2019, Frontiers in Neuroinformatics
Temperature manipulation in songbird brain implicates the premotor nucleus HVC in birdsong syntax
Yisi S. Zhang, Jason D. Wittenbach, Dezhe Z. Jin, Alexay A. Kozhevnikov, 2017, Journal of Neuroscience on p. 2600-2611
Acoustic sequences in non-human animals: A tutorial review and prospectus
Arik Kershenbaum, Daniel T. Blumstein, Marie A. Roch, Çağlar Akçay, Gregory Backus, Mark A. Bee, Kirsten Bohn, Yan Cao, Gerald Carter, Cristiane Cäsar, Michael Coen, Stacy L. Deruiter, Laurance Doyle, Shimon Edelman, Ramon Ferrer-i-Cancho, Todd M. Freeberg, Ellen C. Garland, Morgan Gustison, Heidi E. Harley, Chloé Huetz, Melissa Hughes, Julia Hyland Bruno, Amiyaal Ilany, Dezhe Z. Jin, Michael Johnson, Chenghui Ju, Jeremy Karnowski, Bernard Lohr, Marta B. Manser, Brenda Mccowan, Eduardo Mercado, Peter M. Narins, Alex Piel, Megan Rice, Roberta Salmi, Kazutoshi Sasahara, Laela Sayigh, Yu Shiu, Charles Taylor, Edgar E. Vallejo, Sara Waller, Veronica Zamora-Gutierrez, 2016, Biological Reviews on p. 13-52
An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition
Jason D. Wittenbach, Kristofer E. Bouchard, Michael S. Brainard, Dezhe Z. Jin, 2015, PLoS Computational Biology on p. e1004471
Animal vocal sequences: Not the Markov chains we thought they were
Arik Kershenbaum, Ann E. Bowles, Todd M. Freeberg, Dezhe Z. Jin, Adriano R. Lameira, Kirsten Bohn, 2014, Proceedings of the Royal Society B: Biological Sciences
Noise-robust speech recognition through auditory feature detection and spike sequence decoding
Phillip B. Schafer, Dezhe Z. Jin, 2014, Neural Computation on p. 523-556
Most-Cited Papers
Acoustic sequences in non-human animals: A tutorial review and prospectus
Arik Kershenbaum, Daniel T. Blumstein, Marie A. Roch, Çağlar Akçay, Gregory Backus, Mark A. Bee, Kirsten Bohn, Yan Cao, Gerald Carter, Cristiane Cäsar, Michael Coen, Stacy L. Deruiter, Laurance Doyle, Shimon Edelman, Ramon Ferrer-i-Cancho, Todd M. Freeberg, Ellen C. Garland, Morgan Gustison, Heidi E. Harley, Chloé Huetz, Melissa Hughes, Julia Hyland Bruno, Amiyaal Ilany, Dezhe Z. Jin, Michael Johnson, Chenghui Ju, Jeremy Karnowski, Bernard Lohr, Marta B. Manser, Brenda Mccowan, Eduardo Mercado, Peter M. Narins, Alex Piel, Megan Rice, Roberta Salmi, Kazutoshi Sasahara, Laela Sayigh, Yu Shiu, Charles Taylor, Edgar E. Vallejo, Sara Waller, Veronica Zamora-Gutierrez, 2016, Biological Reviews on p. 13-52
Animal vocal sequences: Not the Markov chains we thought they were
Arik Kershenbaum, Ann E. Bowles, Todd M. Freeberg, Dezhe Z. Jin, Adriano R. Lameira, Kirsten Bohn, 2014, Proceedings of the Royal Society B: Biological Sciences
Temperature manipulation in songbird brain implicates the premotor nucleus HVC in birdsong syntax
Yisi S. Zhang, Jason D. Wittenbach, Dezhe Z. Jin, Alexay A. Kozhevnikov, 2017, Journal of Neuroscience on p. 2600-2611
Local Axonal Conduction Shapes the Spatiotemporal Properties of Neural Sequences
Robert Egger, Yevhen Tupikov, Margot Elmaleh, Kalman A. Katlowitz, Sam E. Benezra, Michel A. Picardo, Felix Moll, Jörgen Kornfeld, Dezhe Z. Jin, Michael A. Long, 2020, Cell on p. 537-548.e12
An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition
Jason D. Wittenbach, Kristofer E. Bouchard, Michael S. Brainard, Dezhe Z. Jin, 2015, PLoS Computational Biology on p. e1004471
ShuTu: Open-Source Software for Efficient and Accurate Reconstruction of Dendritic Morphology
Dezhe Z. Jin, Ting Zhao, David L. Hunt, Rachel P. Tillage, Ching Lung Hsu, Nelson Spruston, 2019, Frontiers in Neuroinformatics
Noise-robust speech recognition through auditory feature detection and spike sequence decoding
Phillip B. Schafer, Dezhe Z. Jin, 2014, Neural Computation on p. 523-556
Addition of new neurons and the emergence of a local neural circuit for precise timing
Yevhen Tupikov, Dezhe Z. Jin, 2021, PLoS Computational Biology
Motor cortex analogue neurons in songbirds utilize Kv3 channels to generate ultranarrow spikes
Benjamin M. Zemel, Alexander A. Nevue, Leonardo E.S. Tavares, Andre Dagostin, Peter V. Lovell, Dezhe Z. Jin, Claudio V. Mello, Henrique von Gersdorff, 2023, eLife
News Articles Featuring Dezhe Jin
Jul 01, 2021
National Institutes of Health funds neural engineering graduate training program
Penn State has a new cross-disciplinary program to train graduate students interested in the complex landscape of the human brain, supported by a $1.5 million grant from the National Institutes of Health (NIH).
Full Article
Oct 15, 2020
Researchers deconstruct the 'biological clock' that regulates birdsong
The precise timing of a bird's complex song is driven in part by the often-ignored “wires” connecting neurons in the bird's brain, according to a new study. A team of researchers from Penn State and NYU Langone Health has deconstructed an important “biological clock” that regulates birdsong and other behaviors, leading to new ways of thinking about the function of neuronal networks.
Full Article