Lori Holt

Professor

University of Texas at Austin

United States

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Dr. Lori Holt is a Professor at The University of Texas at Austin, USA. Her research areas include speech perception, auditory processing, and statistical learning, as evidenced by her recent articles on topics such as the neural mechanisms of speech learning and the complexities of auditory processing in bilingual individuals. Dr. Holt's work aims to unravel the intricacies of human voice perception and its development, contributing significantly to the fields of cognitive science and linguistics.

Articles (16)

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2025

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2020

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2020

Collaborators (8)

Hong Tan

Professor

Purdue University

UNITED STATES

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Yafit Gabay

ISRAEL

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Matteo Vissani

Harvard University

UNITED STATES

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Petra Fischer

University of Bristol

UNITED KINGDOM

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Robert Turner

Professor

University of Pittsburgh

UNITED STATES

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Casey Roark

Assistant Professor

University of New Hampshire

UNITED STATES

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Avniel Ghuman

Associate Professor

University of Pittsburgh

UNITED STATES

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Frederic Dick

Professor

University College London

UNITED KINGDOM

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Lori Holt

Research Interests

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About

Articles (16)

Spike-phase coupling of subthalamic neurons to posterior perisylvian cortex predicts speech sound accuracy

A hierarchy of processing complexity and timescales for natural sounds in the human auditory cortex

Speech Perception Is Speech Learning

Statistical learning subserves a higher purpose: Novelty detection in an information foraging system.

Incidental Nonspeech Auditory Learning Scaffolds Phonetic, Category, and Word Learning in a Foreign Language Classroom

Demystifying unsupervised learning: how it helps and hurts.

Transfer of statistical learning from passive speech perception to speech production

A one-man bilingual cocktail party: linguistic and non-linguistic effects on bilinguals’ speech recognition in Mandarin and English

Listening with one hemisphere: A review of auditory processing among individuals after hemispheric surgery

Unveiling the Development of Human Voice Perception: Neurobiological Mechanisms and Pathophysiology

Memory for incidentally learned categories evolves in the post-learning interval

The representational glue for incidental category learning is alignment with task-relevant behavior.

Phonetic category activation predicts the direction and magnitude of perceptual adaptation to accented speech.

The Learning Signal in Perceptual Tuning of Speech: Bottom Up Versus Top‐Down Information

Incidental Categorization of Vibrotactile Stimuli

Nevertheless, it persists: Dimension-based statistical learning and normalization of speech impact different levels of perceptual processing

Collaborators (8)

Hong Tan

Yafit Gabay

Matteo Vissani

Petra Fischer

Robert Turner

Casey Roark

Avniel Ghuman

Frederic Dick

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