Edward F. Chang

This study uses intracranial recordings to show that risky choices are represented in distributed prefrontal and subcortical regions, while reward computations are more modular and localized.

The paper analyzes cortical surface electrical potentials (CSEPs) to show that high-gamma components are band-limited, not broadband, and identifies multiple band-limited frequency components in ECoG signals.

This paper presents a method for high-density single-unit recording in human cortex using Neuropixels probes, achieving 596 single units across 11 recordings in 8 participants.

The paper finds stronger bilateral kinematic encoding in the left hemisphere during arm movements, with better across-arm generalization, suggesting a dominant role of the left hemisphere in motor control.

This study investigates how glioma-infiltrated cortex participates in speech processing by comparing neural activity with normal-appearing cortex using electrocorticography.

The paper maps how acoustic and phonological speech features are encoded across human auditory cortex using direct neural recordings.

This study describes xenotransplantation of porcine interneuron progenitor cells into the hippocampus of an epileptic California sea lion, resulting in seizure cessation and stabilized clinical measures.

The paper introduces an open-source Matlab toolbox for processing and analyzing data from the Medtronic Summit RC+S neurostimulation system.

The paper investigates how different oscillatory networks in the human orbitofrontal cortex support processing of monetary gains and losses during a gambling task.

This study decodes naturalistic affective behaviors from multi-day intracranial recordings using classifiers, finding high accuracy in distinguishing positive, negative, and affectless behaviors.

The paper develops an encoder-decoder framework to translate cortical activity into text with high accuracy and speed using electrocorticogram data.

This study maps human microglia development and identifies cytokine-associated subtypes and functional roles in neural network maturation.

This study identifies how the human superior temporal gyrus encodes speech syllable boundaries through acoustic onset edges, revealing their role in syllabic rhythm perception.

The paper shows that the human brain normalizes speech sounds by rescaling acoustic-phonetic representations based on speaker context, revealing speaker-normalized speech sound representations in parabelt auditory cortex.

This paper decodes neural activity into intelligible speech using a recurrent neural network, achieving robust results with minimal training data.

The paper confirms the presence of myelinated inhibitory axons in all layers of human neocortex, similar to findings in mice, and identifies their distinctive features and potential implications for neurological disorders.

The paper identifies two spatially distinct regions in human auditory cortex that process speech onsets and prosodic information in parallel.