Hamed Nili

An abstract relational map emerges in the human medial prefrontal cortex with consolidation

The paper investigates the emergence of abstract relational representations in the human medial prefrontal cortex over time using fMRI and graph-learning paradigms.

An information-theoretic quantification of the content of communication between brain regions

This paper introduces a new information-theoretic measure, FIT, to quantify feature-specific information transfer between brain regions using simulated and empirical neural data.

Caveats and nuances of model-based and model-free representational connectivity analysis

This paper examines model-based and model-free representational connectivity analysis, highlighting scenarios where they give conflicting results and suggesting ways to address these issues.

Distinct neurocomputational mechanisms support informational and normative conformity

This study identifies distinct neural mechanisms for informational and normative conformity using fMRI during a social decision-making task.

The way of the light: how visual information reaches the auditory cortex in congenitally deaf adults

This study investigates how visual information reaches the auditory cortex in congenitally deaf adults using computational models and neuroimaging techniques.

Distinct neural representations for prosocial and self-benefitting effort

The paper identifies distinct neural representations for prosocial and self-benefitting effort using fMRI and shows empathy correlates with prosocial effort encoding.

Category-specific representational patterns in left inferior frontal and temporal cortex reflect similarities and differences in the sensorimotor and distributional properties of concepts.

The paper investigates how conceptual categories are represented in the brain by integrating sensorimotor and distributional semantics, finding that combined semantic vectors best explain activation patterns in specific brain regions.

Medial frontal cortex activity predicts information sampling in economic choice

The paper shows that medial frontal cortex activity predicts information sampling in economic decisions and explains how choice difficulty is encoded in this region.

Using distance on the Riemannian manifold to compare representations in brain and models

This paper introduces a Riemannian distance metric for comparing representational similarity matrices in brain and model data, showing improved reliability and sensitivity.

Entorhinal and ventromedial prefrontal cortices abstract and generalise the structure of reinforcement learning problems

The paper shows that entorhinal and ventromedial prefrontal cortex representations generalize reinforcement learning problem structures across different tasks.

Private-public mappings in human prefrontal cortex

The paper investigates how the human brain supports private-public mappings in social contexts using fMRI data from an interactive task.

Map making: Constructing, combining, and inferring on abstract cognitive maps

The paper investigates how the brain represents and combines abstract social hierarchies using neural activity patterns in specific brain regions.

Inferring exemplar discriminability in brain representations

The paper evaluates statistical tests for detecting discriminability between brain response patterns to exemplars and recommends more powerful methods over the standard t test.

Metric and chronological time in human episodic memory

This study investigates how metric and chronological time are encoded in episodic memory, finding that metric time is processed in specific brain regions for short time-scales.

Neural structure mapping in human probabilistic reward learning

The paper shows that human neural representations of novel visual stimuli align with magnitude-based mental number line representations during reward-guided learning.

The hippocampus and neocortical inhibitory engrams protect against memory interference

This study identifies two mechanisms involving the hippocampus and neocortex that protect against memory interference by organizing contextual representations and modulating neocortical inhibition.

Focused learning promotes continual task performance in humans

This study shows that focused training improves continual task performance in humans by enabling factorised task representations, which reduces interference between tasks.