Latest Articles for Cognitive Science

Study reveals how we adapt our beliefs based on ranking changes.

ASR transcripts with errors can help identify Alzheimer's more accurately.

Research shows language models struggle with caused-motion constructions.

A study on combining knowledge graphs and counterfactual reasoning in AI.

Examining how electrode positioning affects brain stimulation outcomes in tDCS.

Study reveals complex behavior of the DMN during task switching.

Examining how language models recall information: sequential vs. random access.

Examining how images impact learning in Wikipedia articles.

A study reveals how methamphetamine affects learning under uncertainty.

Research shows how planning ahead improves movement speed and accuracy.

New training method helps language models remember information better.

Exploring the role of heuristics in AI decision-making processes.

Exploring how we make choices and adjust plans in changing environments.

A look at how phenomenology sheds light on conscious experience.

Research shows deep learning improves our grasp of language rhythm.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

Evaluating LLMs on their ability to process long texts in literature.

This study reveals the brain's complex process for understanding objects.

New methods combine visual and text inputs for improved language learning in machines.

Exploring how neurons cooperate to process information efficiently.

This study presents a new framework for analyzing how we express general ideas.

A look at how brain networks change during growth.

Examining modafinil's role in enhancing student performance and its ethical implications.

Study highlights biases in fMRI data analysis methods.

Study shows repeated decision-making improves rational choices over time.

Study shows physical exercise improves working memory and brain activity.

Examining the intersection of neurotechnology and privacy concerns.

An analysis of the conjunction fallacy in decision-making and its implications.

A look into Hopfield networks for pattern recognition and memory storage.

A new approach to reduce forgetting in machines using human learning principles.

This study explores how robots learn language and actions through experiences.

An exploration of how language models predict future tokens compared to human thinking.

Understanding length generalization can improve AI reasoning abilities for complex tasks.

A new framework helps language models learn from mistakes in problem-solving.

This study examines how large language models mimic human biases.

This paper examines models solving tricky brain teasers in natural language processing.

A review of how LLMs handle reasoning tasks and their limitations.

Research shows how curiosity helps robots learn about objects through exploration.

An overview of different learning methods used by language models.

Discover how AI systems learn over time without losing past knowledge.