Hao Zhu · 朱昊

Brain and Mind Institute CUHK Hong Kong

Postdoctoral Fellow

Hao Zhu 朱 昊

Studying the neural basis of speech and language — and the brain–computer interfaces that may help restore them.

Brain and Mind Institute · Department of Linguistics and Modern Languages
The Chinese University of Hong Kong

Hao Zhu

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About

I’m Hao Zhu, postdoctoral fellow at the Brain and Mind Institute in the Department of Linguistics and Modern Languages at the Chinese University of Hong Kong. With a B.S. and Ph.D. in Neuroscience from New York University, my work centers on uncovering the neural mechanisms that underpin human speech and language.

My research focuses on how the brain constructs and navigates representations for language processing and production. I explore the complex motor–sensory transformations that enable us to translate thought into speech — the subtle neural choreography that governs this remarkable capability. I’m also fascinated by the potential of brain–computer interfaces to deepen our understanding of these processes and, in time, to restore communication where ordinary pathways are compromised.

To investigate these questions I employ advanced electrophysiological tools — electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), and stereoelectroencephalography (sEEG). Each lets me trace the brain’s activity at high spatiotemporal resolution, mapping the pathways that turn intention into language and language into sound.

Speech is the brain’s most public act, and its most quietly engineered one.

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Research interests

  1. i.

    Speech & Language

    How the brain constructs, interprets, and produces language across timescales — from phonetic features to meaning in context.

  2. ii.

    Motor–Sensory Transformation

    The integration of sensory prediction and motor output during speech production, and the neural choreography that binds them.

  3. iii.

    Electrophysiology

    Non-invasive and intracranial recordings (EEG, MEG, ECoG, sEEG) to probe brain activity at high spatiotemporal resolution.

  4. iv.

    Brain–Computer Interfaces

    Decoding language directly from neural signals, with the goal of restoring communication for those who have lost it.

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Curriculum Vitæ

Download PDF ↓

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Publications

Peer-reviewed work in neuroscience, cognitive science, and clinical research, together with open tools used by the community.

Filter 8 of 8
  1. i.

    Motor-based prediction during preparation of hand movement modulates auditory processing in two distinct directions

    NeuroImage · January 2026

    DOI PDF research

  2. ii.

    Impaired motor-to-sensory transformation mediates auditory hallucinations

    PLoS Biology · October 2024

    DOI PDF clinical

  3. iii.

    Electrophysiological hallmarks for event relations and event roles in working memory

    Frontiers in Neuroscience · January 2024

    DOI PDF research

  4. iv.

    Segregation and integration of sensory features by flexible temporal characteristics of independent neural representations

    Cerebral Cortex · June 2023

    DOI PDF research

  5. v.

    The generic inhibitory function of corollary discharge in motor intention: evidence from the modulation effects of speech preparation on the late components of auditory neural responses

    eNeuro · November 2022

    DOI PDF research

  6. vi.

    Deficits in multi-scale top-down processes distorting auditory perception in schizophrenia

    Behavioural Brain Research · June 2021

    DOI PDF clinical

  7. vii.

    Corollary Discharge versus Efference Copy: distinct neural signals in speech preparation differentially modulate auditory responses

    Cerebral Cortex · June 2020

    DOI PDF research

  8. viii.

    Group-level multivariate analysis in EasyEEG Toolbox: examining the temporal dynamics using topographic responses

    Frontiers in Neuroscience · July 2018

    DOI PDF toolbox

IV.

Resources

Tutorials and pipelines developed for students and collaborators working with intracranial electrophysiology.

  1. Stereoelectroencephalography signal traces

    Pipeline · Python · March 2025

    sEEG data preprocessing

    A walkthrough of stereoelectroencephalography (sEEG) preprocessing in Python. The second revision adds further analyses and resolves earlier issues.

    Open notebook →
  2. Stereoelectroencephalography electrodes on a cortical surface

    Tutorial · Brainstorm · May 2025

    sEEG electrode localization

    Fundamentals of locating sEEG electrodes on the cortex. The latest revision incorporates Brainstorm’s May 2025 update.

    Open notebook →

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Contact

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