When ideas spread in the mind, they behave a bit like ripples in water. Understanding how those ripples move—how one concept activates another, how thoughts accelerate or stall—has long been a central...

We introduce SpreadPy as a Python library for simulating spreading activation in cognitive single-layer and multiplex networks. Our tool is designed to perform numerical simulations testing structure-...

CounseLLMe: Investigating Human-Large Language Model conversations under the lens of cognitive science and complex systems SATELLITE WORKSHOP FOR HHAI2025 Submit Abstracts -> HERE

Higher-order interactions: mechanisms, behaviors, and networks

YouTube video by NUS Medicine

CounseLLMe: Investigating Human-Large Language Model conversations under the lens of cognitive science and complex systems SATELLITE WORKSHOP FOR HHAI2025 Submit Abstracts -> HERE

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Large Language Models (LLMs) can engage in human-looking conversational exchanges. Although conversations can elicit trust between users and LLMs, scarce empirical research has examined trust formatio...

CounseLLMe: Investigating Human-Large Language Model conversations under the lens of cognitive science and complex systems SATELLITE WORKSHOP FOR HHAI2025 Submit Abstracts -> HERE

NetSciEd 2025: The Symposium on Network Science and Education will be held in June 2025 as a satellite of the NetSci 2025 Conference at Maastricht, the Netherlands, following a series of successful pr...

Frameworks, Research and applIcations in complEx Networks with signeD edgeS

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YouTube video by CogNosco Lab

YouTube video by CogNosco Lab

Have you ever had a moment where a word was on the tip of your tongue, but you couldn’t quite remember it? For a bit of fun, here are two questions that might generate this feeling for you: What is…

Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereo...

Large language models behave similarly to humans in experiments where they must choose what information to keep or to discard. Large language models behave similarly to humans in experiments where the...

Neural manifolds can shed light on how heterogeneous neuronal population activity drives neural computations, but linking these insights to the underlying neuronal connectivity is challenging. Engel a...

Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereo...

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...