A. Anderson

发表

Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns

Massimo Poesio, Douwe Kiela, Andrew J. Anderson, 2017, TACL.

Decoding individual identity from brain activity elicited in imagining common experiences

D. Dodell-Feder, A. Anderson, F. Lin, 2020, Nature Communications.

An Integrated Neural Decoder of Linguistic and Experiential Meaning

Jeffrey R. Binder, Edmund C. Lalor, Rajeev D. S. Raizada, 2019, The Journal of Neuroscience.

Electrophysiological Correlates of Semantic Dissimilarity Reflect the Comprehension of Natural, Narrative Speech

Edmund C. Lalor, Andrew J. Anderson, Giovanni M. Di Liberto, 2017, Current Biology.

Brain structural connectomes indicate shared neural circuitry involved in subjective experience of cognitive and physical fatigue in older adults

A. Anderson, Zhengwu Zhang, F. Lin, 2019, Brain Imaging and Behavior.

Dissociable electrophysiological measures of natural language processing reveal differences in speech comprehension strategy in healthy ageing

Edmund C. Lalor, Andrew J. Anderson, Michael P. Broderick, 2020, Scientific Reports.

Representational Similarity Between Brain Activity Elicited by Concrete Nouns and Image Based Semantic Models

J. Uijlings, Marco Baroni, Elia Bruni, 2012 .

Insula and putamen centered functional connectivity networks reflect healthy agers' subjective experience of cognitive fatigue in multiple tasks

A. Anderson, Zhengwu Zhang, F. Lin, 2019, Cortex.

How pattern information analyses of semantic brain activity elicited in language comprehension could contribute to the early identification of Alzheimer's Disease

A. Anderson, F. Lin, 2019, NeuroImage: Clinical.

Electrophysiological correlates of semantic dissimilarity reflect the comprehension of natural, narrative speech

Michael J. Crosse, E. Lalor, G. D. Di Liberto, 2017, bioRxiv.

Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia.

A. Anderson, P. Howell, A. Lowit, 2008, Journal of medical speech-language pathology.

What is concrete and abstract and read all over?'' An fMRI study of type coercion in inherent polysemy

Massimo Poesio, Andrew J. Anderson, Y Tao, 2014 .

Comparison of acoustic and kinematic approaches to measuring utterance-level speech variability.

A. Anderson, P. Howell, E. Bailey, 2009, Journal of speech, language, and hearing research : JSLHR.

Semantic Context Enhances the Early Auditory Encoding of Natural Speech

Edmund C Lalor, Michael P. Broderick, Michael P Broderick, 2019, The Journal of Neuroscience.

Discriminating Taxonomic Categories and Domains in Mental Simulations of Concepts of Varying Concreteness

Massimo Poesio, Brian Murphy, Andrew J. Anderson, 2014, Journal of Cognitive Neuroscience.

On discriminating fMRI representations of abstract WordNet taxonomic categories

Tao Yuan, Massimo Poesio, Brian Murphy, 2012 .

Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning

Rajeev D. S. Raizada, J. Binder, Douwe Kiela, 2021, The Journal of Neuroscience.

Neuroscience: Great Expectations at the Speech–Language Interface

Edmund C. Lalor, Andrew J. Anderson, Michael P. Broderick, 2018, Current Biology.

Multiple Regions of a Cortical Network Commonly Encode the Meaning of Words in Multiple Grammatical Positions of Read Sentences.

Rajeev D S Raizada, Edmund C Lalor, Rajeev D. S. Raizada, 2019, Cerebral cortex.

Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts

Massimo Poesio, Elia Bruni, Marco Baroni, 2013, EMNLP.

Using Brain Data for Sentiment Analysis

Carlo Strapparava, Yuqiao Gu, Fabio Celli, 2014, J. Lang. Technol. Comput. Linguistics.

Cognitive fatigue and cortical-striatal network in old age

A. Anderson, F. Lin, P. Ren, 2019, Aging.

More than Words: Neurophysiological Correlates of Semantic Dissimilarity Depend on Comprehension of the Speech Narrative

Edmund C. Lalor, Andrew J. Anderson, Michael P. Broderick, 2020, bioRxiv.

Semantic Structural Alignment of Neural Representational Spaces Enables Translation between English and Chinese Words

Benjamin D. Zinszer, Rajeev D. S. Raizada, Andrew J. Anderson, 2016, Journal of Cognitive Neuroscience.

Representational similarity encoding for fMRI: Pattern-based synthesis to predict brain activity using stimulus-model-similarities

Benjamin D. Zinszer, Rajeev D. S. Raizada, Andrew J. Anderson, 2016, NeuroImage.

Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text

Massimo Poesio, Elia Bruni, Marco Baroni, 2015, NeuroImage.

Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation

Mario Aguilar, Rajeev D S Raizada, Rajeev D. S. Raizada, 2016, Cerebral cortex.

Electrophysiological indices of hierarchical speech processing differentially reflect the comprehension of speech in noise

Shyanthony R. Synigal, E. Lalor, A. Anderson, 2023, bioRxiv.

A simple two‐stage model predicts response time distributions

R H S Carpenter, B A J Reddi, A J Anderson, 2009, The Journal of physiology.

Motor timing and fluency

Andrew J. Anderson, Jorge C. Lucero, Peter Howell, 2010 .

Chapter 12 Speech motor timing and fluency

J. Lucero, A. Anderson, P. Howell, 2012 .