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
Most 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
Partially observable Markov models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs
Jiali Lu, Sumithra Surendralal, Kristofer Bouchard, Dezhe Jin, 2025, Journal of Neuroscience on p. e0522242024
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
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
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
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
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
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
Partially observable Markov models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs
Jiali Lu, Sumithra Surendralal, Kristofer Bouchard, Dezhe Jin, 2025, Journal of Neuroscience on p. e0522242024
News Articles Featuring Dezhe Jin
Feb 20, 2025
AI-generated birdsongs may shed new light on human language
Scientists have developed an AI-powered modeling method that mimics how birds produce songs, similar to how large language models like ChatGPT generate human sentences.
Full Article
Feb 13, 2025
Why birds need to hear themselves sing—and what it teaches us about human language
A new international study of Bengalese finches suggests the answer could reshape our understanding of how all brains, even human ones, process complex sequences.
Full Article
Feb 12, 2025
ChatGPT for birdsong may shed light on how language is wired in the human brain
Just like ChatGPT and other generative language models train on human texts to create grammatically correct sentences, a new modeling method by researchers at Penn State trains on recordings of birds to create accurate birdsongs.
Full Article
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