Sasa L. Kivisaari

Cortical time-course of evidence accumulation during semantic processing

The paper uses magnetoencephalography and machine learning to track semantic processing dynamics, showing gradual accumulation of semantic information leading to a variable plateau across individuals.

Serial position effects reflect the integrity of distinct brain regions in Major and Minor Neurocognitive Disorder

This study links serial position effects in memory tasks to specific brain regions in neurocognitive disorders, showing correlations with gray matter integrity.

Reconstructing meaning from bits of information

The paper investigates how the brain combines fragmented semantic features into complete object representations using machine-learning-based neural decoding.

Cracking the problem of neural representations of abstract words: grounding word meanings in language itself

The paper models semantic spaces using word co-occurrence statistics to decode brain activity related to abstract words, finding that abstractness emerges from language patterns and correlates with specific brain regions.