Edward F. Chang

According to our database, Edward F. Chang authored at least 29 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Do self-supervised speech and language models extract similar representations as human brain?

Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li

CoRR, 2023

Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction.

Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li

CoRR, 2023

Identification of Neural Biomarkers of Major Depressive Disorder Symptom Severity Using Computerized Linguistic Analysis.

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

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data.

Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli

Proceedings of the International Conference on Machine Learning, 2023

2019

Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex.

Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang

PLoS Comput. Biol., 2019

On Neural Phone Recognition of Mixed-Source ECoG Signals.

Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan, Erik Edwards, Dorothea Kolossa, Dan Ellis, David A. Moses, Edward F. Chang

CoRR, 2019

Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings.

Pengfei Sun, Gopala Krishna Anumanchipalli, Edward F. Chang

CoRR, 2019

Modeling neural dynamics during speech production using a state space variational autoencoder.

Pengfei Sun, David A. Moses, Edward F. Chang

CoRR, 2019

Comparison of Common Artifact Rejection Methods applied to Direct Cortical and Peripheral Stimulation in Human ECoG.

Kristin K. Sellers, William L. Schuerman, Heather E. Dawes, Edward F. Chang, Matthew K. Leonard

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Decoding Natural Positive Emotional Behaviors from Human Fronto-Temporal Mesolimbic Structures.

Maryam Bijanzadeh, Maansi Desai, Deanna L. Wallace, Nikhita Mummaneni, Nikhita Kunwar, Heather E. Dawes, Edward F. Chang

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards.

Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Localization of Emotional Affect in Electrocorticography Using a Model Based Discrimination Measure.

Alan David Kaplan, Qi Cheng, Piyush Karande, Elizabeth Tran, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Emotion Discrimination through Electrode Network Connectivity Pattern Recognition.

Qi Cheng, Alan David Kaplan, Piyush Karande, Maryam Bijanzadeh, Heather E. Dawes, Edward F. Chang

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Selective Interference with Syntactic Encoding during Sentence Production by Direct Electrocortical Stimulation of the Inferior Frontal Gyrus.

Edward F. Chang, Garret Kurteff, Stephen M. Wilson

J. Cogn. Neurosci., 2018

Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain.

Prasad Shirvalkar, Tess L. Veuthey, Heather E. Dawes, Edward F. Chang

Frontiers Comput. Neurosci., 2018

Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces.

David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard

CoRR, 2018

2017

Chronic ambulatory electrocorticography from human speech cortex.

Vikram Rao, Matthew K. Leonard, Jonathan K. Kleen, Ben A. Lucas, Emily A. Mirro, Edward F. Chang

NeuroImage, 2017

Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography.

Liberty S. Hamilton, David L. Chang, Morgan B. Lee, Edward F. Chang

Frontiers Neuroinformatics, 2017

Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions.

Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber

BMC Bioinform., 2017

Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dynamic tracking of non-stationarity in human ECoG activity.

Yuxiao Yang, Edward F. Chang, Maryam Modir Shanechi

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex.

Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience.

Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard

Frontiers Neuroinformatics, 2016

ECoG data analyses to inform closed-loop BCI experiments for speech-based prosthetic applications.

Tejaswy Pailla, Werner Jiang, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Thin-film, high-density micro-electrocorticographic decoding of a human cortical gyrus.

Leah Muller, Sarah H. Felix, Kedar G. Shah, Kye Young Lee, Satinderpall Pannu, Edward F. Chang

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Decoding speech using the timing of neural signal modulation.

Werner Jiang, Tejaswy Pailla, Benjamin K. Dichter, Edward F. Chang, Vikash Gilja

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data.

Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014

Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography.

Kristofer E. Bouchard, Edward F. Chang

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2011

Cortical Spatio-temporal Dynamics Underlying Phonological Target Detection in Humans.

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

J. Cogn. Neurosci., 2011