Real-world data reveal that cooperation continually falls and rebounds. Motivation to cooperate must therefore be actively renewed rather than assumed to sustain itself.

DeepCor is a deep-learning-based denoising approach for task-based and resting-state fMRI data that can be used even for single participants.

It has long been known that we use words to perform speech acts foundational to everyday conversation, such as requesting, informing, proposing, or complaining. However, the natural environment of hum...

What makes for a great conversation? Dr. Sebastian Spear shares his research using hyperscanning (neuroimaging on multiple brains at once) to study people's brains during real conversations. We discus...

YouTube video by Menschen und Muster

While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific validity. In this pa...

Coupled Minds Lab — social neuroscience of conversation, negotiation, and human–AI interaction.

Speech comprehension involves transforming an acoustic waveform into meaning. To do so, the human brain generates a hierarchy of features that conv...

How does the brain access stored knowledge? It has been proposed that conceptual search engages neurocognitive processes similar to foraging in physical space. We tested this idea using intracranial E...

Cambridge Core - Semantics and Pragmatics - The Interaction Engine

Brain imaging is illuminating the patterns linked to productive, positive dialogue, and those insights could help people connect with others

Our ability to understand and control complex systems of many interacting parts remains limited. A key challenge is that we still do not know how b...

Larger LLMs’ self-attention more accurately predicts readers’ regressive saccades and fMRI responses in language regions, whereas instruction tuning adds no benefit.

Abstract. Independent component analysis (ICA) denoising methods can be highly effective for reducing functional magnetic resonance imaging (fMRI) noise. ICA denoising method success heavily depends, ...

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

This research advances a mechanistic reward learning account of social learning strategies. Through experiments and simulations, it shows how individuals learn to learn from others, dynamically shapin...

Theories of the evolution of cooperation through reciprocity explain how unrelated self-interested individuals can accomplish more together than th...

As AI systems take on collaborative roles, they must reason about shared goals and beliefs-not just generate fluent language. The Rational Speech Act (RSA) framework offers a principled approach to pr...

Reads conversation transcripts into R, cleans and formats them, and yokes user-specified psycholinguistic database values to each word. ConversationAlign computes alignment indices between two interlo...

Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. To develop socially intelligent AI technologies, it...

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

Metacognition improves significantly over childhood, but the mechanisms underlying this development are poorly understood. We first review recent rese…

Nature Communications - The neural processes involved in memory formation for realistic experiences remain poorly understood. Here, the authors found that ripple-like activity in the human...

Psychotherapy is the most ubiquitous form of mental health treatment and it unfolds predominantly through language. To better understand how this exchange of words bolsters mental health, we tested ho...