Dezhe Jin

Physics Pennsylvania State University, State College, PA, United States 
"Dezhe Jin"
Mean distance: 15.23 (cluster 17)
Cross-listing: Physics Tree


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Michale S. Fee collaborator 2008- MIT
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Egger R, Tupikov Y, Elmaleh M, et al. (2020) Local Axonal Conduction Shapes the Spatiotemporal Properties of Neural Sequences. Cell. 183: 537-548.e12
Zhang YS, Wittenbach JD, Jin DZ, et al. (2017) Temperature manipulation in songbird brain implicates the premotor nucleus HVC in birdsong syntax. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Wittenbach JD, Bouchard KE, Brainard MS, et al. (2015) An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition. Plos Computational Biology. 11: e1004471
Kershenbaum A, Bowles AE, Freeberg TM, et al. (2014) Animal vocal sequences: not the Markov chains we thought they were. Proceedings. Biological Sciences / the Royal Society. 281
Schafer PB, Jin DZ. (2014) Noise-robust speech recognition through auditory feature detection and spike sequence decoding. Neural Computation. 26: 523-56
Miller A, Jin DZ. (2013) Potentiation decay of synapses and length distributions of synfire chains self-organized in recurrent neural networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 88: 062716
Jin DZ, Kozhevnikov AA. (2011) A compact statistical model of the song syntax in Bengalese finch. Plos Computational Biology. 7: e1001108
Desrochers TM, Jin DZ, Goodman ND, et al. (2010) Optimal habits can develop spontaneously through sensitivity to local cost. Proceedings of the National Academy of Sciences of the United States of America. 107: 20512-7
Long MA, Jin DZ, Fee MS. (2010) Support for a synaptic chain model of neuronal sequence generation. Nature. 468: 394-9
Jin DZ. (2009) Generating variable birdsong syllable sequences with branching chain networks in avian premotor nucleus HVC. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 80: 051902
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