Semantic Cognition Lab

Welcome to the Semantic Cognition Lab

Our team investigates how concepts and language meaning are encoded in the brain. We use functional brain imaging (fMRI and MEG), transcranial magnetic stimulation, and behavioral assessment of neurological patients and healthy participants. A current focus of our work is the application of fMRI, semantic modeling and machine learning techniques to investigate how word meaning is represented in high-level association areas of the cortex and how these representations relate to sensory-motor and affective neural systems. The ultimate goal is to elucidate the representational code for conceptual knowledge, leading to advancements in artificial intelligence and brain-machine interface technology, as well as to a deeper understanding of the language and memory deficits caused by neurological disorders.


Director: Leo Fernandino, PhD

Curriculum Vitae

Featured studies

A neural map of word meaning

We asked which areas of the cerebral cortex represent information about the meanings of words. Previous studies had indicated that large portions of the temporal, parietal, and frontal lobes participate in processing language meaning, but it was unknown which regions actually encoded information about individual word meanings.

The stuff of thought

In this study, we addressed the question of how the contents of our thoughts – concepts, ideas, beliefs – are related to the physical world that we experience through our senses by evaluating six different models of concept representation.

Latest publications

The primacy of experience in language processing: Semantic priming is driven primarily by experiential similarity

Fernandino & Conant (2024). Neuropsychologia.

Published version (free access until 8/14/24) 

Preprint PDF

The neural representation of body part concepts

Mazurchuk, Fernandino, Tong, Conant, & Binder (2024). Cerebral Cortex.

Published version

Concept Representation

Fernandino & Binder (2024). Encyclopedia of the Human Brain, 2nd edition, Elsevier.

Preprint PDF

Stimulus repetition and sample size considerations in item-level representational similarity analysis

Mazurchuk, Conant, Tong, Binder, and Fernandino (2023). Language, Cognition and Neuroscience.

Published version (no paywall)

A distributed network for multimodal experiential representation of concepts 

Tong, Binder, Humphries, Mazurchuk, Conant, and Fernandino (2022). The Journal of Neuroscience.

Non-technical summary: A Neural Map of Word Meaning

Preprint PDF (no paywall)       Published version (JNeuro website) 

Decoding the information structure underlying the neural representation of concepts 

Fernandino, Tong, Conant, Humphries, and Binder (2022). PNAS.

Non-technical summary: The Stuff of Thought Is the Stuff of Experience

Resumo leigo: A Matéria do Pensamento é a Matéria da Experiência

Preprint PDF (no paywall)      Published version (PNAS website) 

Complete publication list: Faculty Collaboration Database 

On the news

My interview with Bryan Belmer for CTSI Discovery Radio (October 2024)

Promoting BrainExpo at Wakeup News, Fox 6 Channel (April 6, 2024)

I talked about my work and answered questions about the brain at The Morning Show on WPR (March 17 2022)

My contribution to the OHBM blog: Imaging Brain Activity in Real Time (July 21 2016)

A Huffington Post article to which I contributed (2016): Brain Mapping: Getting It Right

My profile on the Medical College of Wisconsin website.

#MentorFirst