Latest Articles for Cognitive Science

Examining brain activity in expert Braille readers versus traditional script readers.

New model predicts spoken language using brain signals.

This article examines the metacognitive skills of LLMs and their impact on math problem solving.

A dynamic approach reveals connections between brain function and individual characteristics.

Exploring a new method to understand emergence in language models.

EAM demonstrates effective memory management for complex visual data.

This study questions the effectiveness of ReAct in enhancing LLM performance.

A study of how humans and computers identify objects amid uncertainty.

A look into how compositionality connects language, thought, and AI.

This study analyzes how language models recover from reasoning errors during tasks.

Exploring the link between AI attention heads and human memory processes.

Researchers use Brainscore to evaluate AI models against human brain activity.

PhiNet mimics human memory systems for improved machine learning.

This study examines how high-dimensional phases enhance language model performance.

A new method enhances AI's ability to edit knowledge and answer complex questions.

This study investigates how our brain processes abstract verbs and their meanings.

Examining how speech styles aid language learners' comprehension and processing.

This research focuses on generating pseudo-programs to enhance reasoning tasks in models.

New benchmark aims to improve AI understanding of text and images.

A new method enhances machine learning by improving movement prediction.

Examining how AI tools influence learning for beginner coders.

Researchers discover clusters of visual concepts in brain activity.

Research reveals how the frontal lobe influences visual perception and thought processes.

This study reveals how expectations influence brain activity during learning.

Explore the role of memory and context in improving machine learning.

SynCx improves object discovery using complex-valued weights and iterative processing.

DSAM offers a fresh perspective on brain connectivity using advanced deep learning techniques.

New methods aim to improve machine learning with diverse tasks and interactions.

A look into how flies make choices while in motion.

This study examines how attention shapes working and long-term memory processes.

Learn about fNIRS and its applications for brain research and monitoring.

Research explores methods to enhance how language models learn from context.

A closer look at backpropagation's role in machine and biological learning.

Research shows how we develop attention biases in visual environments.

This study tests LLMs to reveal their weaknesses in understanding and reasoning.

This study evaluates language models' abilities in understanding thoughts and feelings.

Examining the counting capabilities of language models, their structure, and learning processes.

Eating together may enhance brain function through social interactions.

Research explores how machine learning improves understanding of brain data during cognitive tasks.

A look at how language models may represent beliefs and their implications.