Tootfinder

A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
E. A. Dzhivelikian, A. I. Panov
https://arxiv.org/abs/2510.03286

A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
Cognitive maps provide a powerful framework for understanding spatial and abstract reasoning in biological and artificial agents. While recent computational models link cognitive maps to hippocampal-entorhinal mechanisms, they often rely on global optimization rules (e.g., backpropagation) that lack biological plausibility. In this work, we propose a novel cognitive architecture for structuring episodic memories into cognitive maps using local, Hebbian-like learning rules, compatible with neura…

🌟 Chardons Bleus soutient 6 survivant-es dans l’affaire OKC-Spatz. Pour garantir un procès équitable, votre soutien financier est crucial. Ensemble, faisons triompher la justice ! 💙 👉 https://chardonsbleus.org/cagnotte-en-ligne

Faire un don | Association Chardons Bleus
Transparence Le bilan total des dons sera actualisé toutes les deux semaines. Quand vous faites un don hors-ligne par virement bancaire, votre montant de do ...

Most probable prediction about OpenAI future I’ve read.
Spoiler: it will be successful and we will not like it.
https://open.substack.com/pub/defragzone/p/welcome-to-cognitive-capitalism

Welcome to Cognitive Capitalism
Or: How Open AI Learned to Stop Worrying and Love Your Data

Financial well-being has an outsize imprint on older Americans’ quality of life
-- affecting their physical health, social life and even cognitive skills.

Low-income seniors are more likely to experience mental confusion,
spend less time pursuing hobbies,
and face difficulties with everyday tasks such as climbing stairs and grocery shopping,
compared with their more affluent counterparts

What a poll of 9,000 adults reveals about aging in America
A Pew Research Center survey reveals how income levels can affect someone’s physical health, social life and even cognitive skills in retirement.

Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
Prahitha Movva
https://arxiv.org/abs/2510.02780 https://arxiv.org/…

Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
Vision-Language Models (VLMs) excel at many multimodal tasks, yet their cognitive processes remain opaque on complex lateral thinking challenges like rebus puzzles. While recent work has demonstrated these models struggle significantly with rebus puzzle solving, the underlying reasoning processes and failure patterns remain largely unexplored. We address this gap through a comprehensive explainability analysis that moves beyond performance metrics to understand how VLMs approach these complex l…

Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challenge
Adharsha Sam Edwin Sam Devahi, Sohail Singh Sangha, Prachee Priyadarshinee, Jithin Thilakan, Ivan Fu Xing Tan, Christopher Johann Clarke, Sou Ka Lon, Balamurali B T, Yow Wei Quin, Chen Jer-Ming
https://

Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challenge
Early detection of Alzheimer's Dementia (AD) and Mild Cognitive Impairment (MCI) is critical for timely intervention, yet current diagnostic approaches remain resource-intensive and invasive. Speech, encompassing both acoustic and linguistic dimensions, offers a promising non-invasive biomarker for cognitive decline. In this study, we present a machine learning framework for the PROCESS Challenge, leveraging both audio embeddings and linguistic features derived from spontaneous speech recording…

Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
Antoun Yaacoub, Zainab Assaghir, J\'er\^ome Da-Rugna
https://arxiv.org/abs/2510.03374

Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
The rapid integration of Artificial Intelligence (AI) into educational technology promises to revolutionize content creation and assessment. However, the quality and pedagogical alignment of AI-generated content remain critical challenges. This paper investigates the impact of lightweight prompt engineering strategies on the cognitive alignment of AI-generated questions within OneClickQuiz, a Moodle plugin leveraging generative AI. We evaluate three prompt variants-a detailed baseline, a simple…

🇺🇦 #NowPlaying on KEXP's #JazzTheatre
Miles Davis:
🎵 Miles Run's the Voodoo Down
#MilesDavis
https://therainydaycollective.bandcamp.com/track/run-the-voodoo-down-miles-davis-cassandra-wilson

What @… said here, and so well said.
Note that deciding it’s the wrong time to rub somebody’s nose in how incredibly wrong they were doesn’t make them any less wrong. Listening is not the same thing as accepting. Sometimes it’s a moment to say “you dumbass,” and sometimes it’s a moment to say “And how did that work out for you?” The wise know the difference.
People who were taken in by the likes of these scammers •can• walk out of it in moments of cognitive dissonance — and if you’re in a position to do what Luna describes with someone you know, you might just change a life.
https://defcon.social/@corbden/115329960629783431

Not Even Wrong: On the Limits of Prediction as Explanation in Cognitive Science
Mark Orr, Drew Cranford, Ken Ford, Kevin Gluck, Will Hancock, Christian Lebiere, Pete Pirolli, Frank Ritter, Andrea Stocco
https://arxiv.org/abs/2510.03311

Not Even Wrong: On the Limits of Prediction as Explanation in Cognitive Science
We offer a comment on the Centaur (Binz et al., 2025) transformer-based model of human behavior. In particular, Centaur was cast as a path towards unified theories of cognition. We offer a counter claim with supporting argument: Centaur is a path divergent from unified theories of cognition, one that moves towards a unified model of behavior sans cognition.