Idan Blank

This study identifies methodological flaws and confounding factors in research comparing large language models to brain activity, showing results are unreliable due to issues like shuffled splits and activation extraction biases.

The paper examines age-related changes in the language and executive function networks using fMRI, finding preserved language network function in older adults compared to decline in the executive network.

This study uses fMRI to examine how polyglots and hyperpolyglots process their languages, finding that response magnitude scales with linguistic computation engagement.

This study shows that the language network tracks semantically rich non-verbal stimuli more than semantically poor ones but less than linguistic stimuli.

The paper identifies language-responsive neural channels in individual participants using MEG, showing spatial stability within individuals but variability across individuals, leading to greater sensitivity in analyses.

This study uses fMRI to show that working memory demand during naturalistic language comprehension affects language-selective brain regions but not multiple-demand regions, supporting domain-specific WM resources for language.

This study uses a meta-analytic fMRI approach to show non-literal language processing involves both language and Theory of Mind networks, challenging the need for separate executive resources.

The paper introduces a probabilistic atlas for the language network using fMRI data from 806 individuals to bridge gaps between group-level and individual-level language research.

The paper investigates how language and Theory of Mind networks track linguistic and mental state content in naturalistic stimuli using fMRI.

This paper shows that powerful transformer models predict neural and behavioral responses during language processing across datasets and modalities, supporting predictive processing as a core mechanism.

The paper investigates whether frontal language areas develop without temporal language areas by studying an individual born without a left temporal lobe, finding that frontal language areas do not emerge in its absence.

The paper examines the relationship between comprehension difficulty and neural activity in the multiple demand and core language networks during story listening, finding no link in the multiple demand network but a link in the core language network.

This study shows that stronger activity in the fronto-parietal multiple-demand network is positively associated with better working memory and fluid intelligence performance.

This study compares language network efficiency between polyglots and controls using fMRI, finding polyglots use fewer neural resources for language processing.

This study uses fMRI to investigate whether syntactic and lexico-semantic processing are localized to distinct brain regions, finding no such selectivity within the language network.

The paper tests if fronto-temporal language regions have distinct temporal receptive windows but finds no such differences across regions.

This study investigates the role of the multiple demand (MD) network in language comprehension using fMRI data from 481 participants, finding that MD network activity is task-dependent and not involved in core language processing.

This study uses fMRI to show that predictive coding during sentence comprehension is domain-specific and relies on both local word patterns and hierarchical structure, not domain-general circuits.

The paper examines the functional relationships between language, multiple demand, and default mode networks using fMRI data, finding strong within-network correlations and weak cross-network correlations.

This study investigates face processing in the human brain using fMRI, finding that the pSTS-FA is more responsive to dynamic faces and changeable aspects, while FFA and OFA show similar responses across conditions.

The paper compares how closely language and domain-general brain networks track linguistic input during story comprehension, finding that language-selective regions show more consistent input tracking than the Multiple Demand network.

This paper attempts to replicate a dissociation between syntax and semantics during sentence comprehension reported by Dapretto & Bookheimer (1999) but fails to find the original dissociation in the left inferior frontal gyrus.

This study uses fMRI to show that specific hippocampal regions are selectively engaged during language comprehension and synchronize with cortical language networks, suggesting language-specific hippocampal mechanisms.