Cognitive Tech
Research at the intersection of AI, cognitive science, and human attention.
How Language Evolves for Learnability in AI and Humans: The Iterated Learning Revolution
A new study bridges deep learning and cognitive linguistics, revealing how language structure emerges through iterated learning in deep neural networks—mirroring the developmental milestones of children and uncovering fundamental principles of learnability.
Convergent Predictive Processing in the Human Brain and AI
A review of recent neuro-imaging research demonstrating that human brains and Large Language Models mirror each other in language anticipation and parallel information processing.
Sleep Deprivation: Why Your Brain Loses the 'Keys' to Social Memory
New neuroscience research reveals that sleep deprivation induces amnesia by blocking memory retrieval pathways, not by erasing the memory itself. This retrieval failure can be bypassed using pharmacological or optogenetic methods, providing hope for dementia and shift-work cognitive health. The article expands on the University of Groningen study published in Science Advances, exploring social memory systems, engram research, PDE4 inhibition mechanisms, and translational applications for shift workers, dementia patients, and students facing chronic sleep disruption.
Social Anxiety Disorder (SAD) in Canada: A 71% Surge Since 2002 and the Youth Mental Health Crisis
Social Anxiety Disorder now affects nearly 1 in 7 Canadian adults, marking a 71% surge since 2002. This comprehensive analysis explores the generational divide, contributing factors, and evidence-based interventions needed to address this growing mental health crisis.
AI Models Fail the Classic Stroop Test: Cognitive Bottlenecks Revealed
A new study published in ScienceDaily reveals that even the most advanced AI models fail the classic Stroop test as word lists grow longer. This research highlights significant cognitive bottlenecks in artificial intelligence compared to human attention and processing. The findings suggest that while AI can simulate complex reasoning, it lacks the fundamental inhibitory control mechanisms that humans use to manage conflicting information. Source: https://www.sciencedaily.com/releases/2026/06/260610003049.htm