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Journal Articles
- 2019
[j8]Jesse A. Livezey
, Kristofer E. Bouchard, Edward F. Chang:
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput. Biol. 15(9) (2019)- 2018
- [j7]Prasad Shirvalkar, Tess L. Veuthey, Heather E. Dawes, Edward F. Chang:
Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain. Frontiers Comput. Neurosci. 12: 18 (2018) - [j6]Edward F. Chang, Garret Kurteff, Stephen M. Wilson:
Selective Interference with Syntactic Encoding during Sentence Production by Direct Electrocortical Stimulation of the Inferior Frontal Gyrus. J. Cogn. Neurosci. 30(3) (2018) - 2017
- [j5]Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber:
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. BMC Bioinform. 18(6): 236:1-236:15 (2017) - [j4]Liberty S. Hamilton, David L. Chang, Morgan B. Lee, Edward F. Chang:
Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography. Frontiers Neuroinformatics 11: 62 (2017) - [j3]Vikram Rao, Matthew K. Leonard, Jonathan K. Kleen, Ben A. Lucas, Emily A. Mirro, Edward F. Chang:
Chronic ambulatory electrocorticography from human speech cortex. NeuroImage 153: 273-282 (2017) - 2016
- [j2]Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard:
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers Neuroinformatics 10: 48 (2016) - 2011
- [j1]Edward F. Chang, Erik Edwards, Srikantan S. Nagarajan, Noa Fogelson, Sarang S. Dalal, Ryan T. Canolty, Heidi E. Kirsch, Nicholas M. Barbaro, Robert T. Knight:
Cortical Spatio-temporal Dynamics Underlying Phonological Target Detection in Humans. J. Cogn. Neurosci. 23(6): 1437-1446 (2011)
Conference and Workshop Papers
- 2024
- [c17]Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li:
Neural2speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. ICASSP 2024: 2200-2204 - [c16]Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li:
Do Self-Supervised Speech and Language Models Extract Similar Representations as Human Brain? ICASSP 2024: 2225-2229 - 2023
- [c15]Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli:
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data. ICML 2023: 5661-5676 - [c14]Daniela A. Astudillo Maya, Kristin K. Sellers, Noah Stapper, Ankit N. Khambhati, Catherine Henderson, Joline Fan, Vikram Rao, Katherine W. Scangos, Edward F. Chang, Andrew D. Krystal:
Identification of Neural Biomarkers of Major Depressive Disorder Symptom Severity Using Computerized Linguistic Analysis. NER 2023: 1-4 - 2019
- [c13]Alan David Kaplan, Qi Cheng, Piyush Karande, Elizabeth Tran, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang:
Localization of Emotional Affect in Electrocorticography Using a Model Based Discrimination Measure. ACSSC 2019: 1709-1713 - [c12]Qi Cheng, Alan David Kaplan, Piyush Karande, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang:
Emotion Discrimination through Electrode Network Connectivity Pattern Recognition. ACSSC 2019: 2139-2143 - [c11]Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard:
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData 2019: 165-179 - [c10]Kristin K. Sellers, William L. Schuerman, Heather E. Dawes, Edward F. Chang, Matthew K. Leonard:
Comparison of Common Artifact Rejection Methods applied to Direct Cortical and Peripheral Stimulation in Human ECoG. NER 2019: 77-80 - [c9]Maryam Bijanzadeh, Maansi Desai, Deanna L. Wallace, Nikhita Mummaneni, Nikhita Kunwar, Heather E. Dawes, Edward F. Chang:
Decoding Natural Positive Emotional Behaviors from Human Fronto-Temporal Mesolimbic Structures. NER 2019: 1088-1092 - 2017
- [c8]Yuxiao Yang, Edward F. Chang, Maryam Modir Shanechi:
Dynamic tracking of non-stationarity in human ECoG activity. EMBC 2017: 1660-1663 - [c7]Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer:
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. EMBC 2017: 3636-3639 - [c6]Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya:
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. NIPS 2017: 1078-1086 - 2016
- [c5]Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber:
Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data. BCB 2016: 630-639 - [c4]Leah Muller, Sarah H. Felix, Kedar G. Shah, Kye Young Lee, Satinderpall Pannu, Edward F. Chang:
Thin-film, high-density micro-electrocorticographic decoding of a human cortical gyrus. EMBC 2016: 1528-1531 - [c3]Werner Jiang, Tejaswy Pailla, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja:
Decoding speech using the timing of neural signal modulation. EMBC 2016: 1532-1535 - [c2]Tejaswy Pailla, Werner Jiang, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja:
ECoG data analyses to inform closed-loop BCI experiments for speech-based prosthetic applications. EMBC 2016: 5713-5716 - 2014
- [c1]Kristofer E. Bouchard, Edward F. Chang:
Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. EMBC 2014: 6782-6785
Informal and Other Publications
- 2023
- [i8]Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli:
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data. CoRR abs/2308.06443 (2023) - [i7]Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li:
Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. CoRR abs/2310.04644 (2023) - [i6]Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li:
Do self-supervised speech and language models extract similar representations as human brain? CoRR abs/2310.04645 (2023) - 2019
- [i5]Pengfei Sun, David A. Moses, Edward F. Chang:
Modeling neural dynamics during speech production using a state space variational autoencoder. CoRR abs/1901.04024 (2019) - [i4]Pengfei Sun, Gopala Krishna Anumanchipalli, Edward F. Chang:
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings. CoRR abs/1909.01401 (2019) - [i3]Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan, Erik Edwards, Dorothea Kolossa, Dan Ellis, David A. Moses, Edward F. Chang:
On Neural Phone Recognition of Mixed-Source ECoG Signals. CoRR abs/1912.05869 (2019) - 2018
- [i2]Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang:
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. CoRR abs/1803.09807 (2018) - [i1]David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard:
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR abs/1805.08889 (2018)
Coauthor Index
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