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Is AI making us stupid?

Not exactly—but how we use it matters.

A new Trends in Cognitive Sciences perspective argues that AI doesn’t inherently erode human intelligence. Instead, it highlights a well-known principle in cognitive psychology: cognitive offloading.

When we let AI perform tasks that require reasoning, writing, memory, or problem-solving, we reduce the amount of mental practice our brains receive. Like physical exercise, cognitive skills strengthen through use and weaken through disuse.

Skills: learned abilities such as writing, mathematical reasoning, diagnosis, or programming. These are most vulnerable if AI consistently replaces the learning process.

Basic cognitive abilities: foundational functions like working memory, attention, and executive control. Current evidence suggests these may be more resistant to decline, although more research is needed.

The key message isn’t that AI makes people “stupid.” Rather: AI can improve immediate performance. Overreliance may reduce long-term learning and skill retention.

AI is most beneficial when it augments human thinking instead of replacing it. This fits with decades of neuroscience showing that practice drives neuroplasticity. The brain adapts to the cognitive demands we place on it. If.

Shown are neural connections between the lateral habenula and ventral tegmental area (VTA) of a mouse revealed by transsynaptic tracing and immunostaining

In green are VTA neurons receiving inputs from the lateral habenula, in red are VTA neurons projecting back to the lateral habenula, and in blue are dopaminergic (TH+) VTA neurons. Approximately 25% of VTA neurons exhibit both presynaptic and postsynaptic connectivity with the lateral habenula. Lateral habenula neurons projecting to the VTA encode unpleasant signals that are necessary for learning to avoid or respond to threats.

🔗 Use the link in our bio to see the article by Marina R. Ihidoype et al. in the July 8, 2026, issue of #JNeurosci for more information. ㅤ 📸 Cover image: Marina Ihidoype.

UCSF and Samsung launch remote study on aging brain health

An innovative new study from the Neuroscape research center at UCSF, and consumer electronics giant Samsung seeks to understand decade-by-decade changes in brain health.

The Neuroscape Technology for Aging Health — Digital Approaches (TAH-DA) longitudinal study, seeks to identify biometric predictors of cognitive decline over the course of a year, using Samsung wearable technology.

Samsung fosters innovation and transformational health research in collaboration with leading institutions to explore new health technologies and a novel prescriptive on wellness. The TAH-DA study is another example of Samsung’s work to understand the unique connection between the brain and wellness.

New soft wearable device could support at-home sleep monitoring

Good sleep is essential for brain health. During sleep and rest, the glymphatic system, the brain’s waste-clearing process, helps remove metabolic waste that accumulates during waking hours. This activity is linked to memory processing, cognitive function and neural recovery. When sleep quality is poor, metabolic waste may accumulate, potentially disrupting cognitive function and memory formation.

Traditional approaches to brain monitoring are often invasive, costly and limited to clinical settings. New research from Georgia Tech points to a more accessible approach. A study published in Science Advances shows that a soft, wireless wearable device could help enable home-based monitoring of physiological changes associated with sleep and brain health.

The research team, led by W. Hong Yeo, Peterson Endowed Professor in the Woodruff School of Mechanical Engineering and director of the Wearable Intelligent Systems and Healthcare Center and the Korea KIAT-Georgia Tech Semiconductor Electronics Center, developed a wearable device that uses light-based sensing and wireless communication to support natural sleep monitoring at home.

Discoveries: Short Takes on Cutting-Edge Research

Scientists Reveal a Hidden “Smell Map” Connecting the Nose and Brain.

Harvard Medical School researchers have created the first detailed spatial map of how more than 1,100 types of olfactory receptors are organized in the mouse nose. Contrary to the long-standing idea that smell receptors are scattered somewhat randomly within broad regions, the team found that receptor-expressing neurons occupy precise, overlapping bands across the olfactory epithelium.

Using single-cell RNA sequencing, spatial transcriptomics, and advanced microscopy, researchers analyzed millions of olfactory sensory neurons from hundreds of mice. Each sensory neuron expresses one receptor type, and its position within the developing nasal tissue helps influence which receptor it selects. The signaling molecule retinoic acid appears to help establish this spatial organization.

Remarkably, this map in the nose aligns with the organization of corresponding neurons in the olfactory bulb—the brain’s first major processing center for smell. This suggests that olfaction, like vision, hearing, and touch, relies on an orderly topographic system linking sensory receptors to specific neural destinations.

The findings provide a new framework for studying how odors are encoded, how olfactory circuits develop, and why the sense of smell may be disrupted by infections, aging, injury, medications, or cancer treatments. The research could eventually inform strategies for treating anosmia and other smell disorders, although the work was conducted in mice and researchers have not yet established whether the same detailed organization exists in humans.

Study: Brann et al., Cell DOI: 10.1016/j.cell.2026.03.

#Neuroscience #Olfaction #SenseOfSmell #BrainResearch #SensoryNeuroscience #HarvardMedicalSchool #Neurobiology #SpatialTranscriptomics

New Molecule Restores the Brain’s Natural Defenses Against Alzheimer’s

Scientists have developed an experimental molecule that helps the brain’s immune cells fight Alzheimer’s again, reducing toxic plaques and improving memory in animal studies. Scientists have identified an experimental molecule that appears to restore some of the brain’s natural defenses against A

How Infrasound Rewires Ear Mechanics

From the article

“Low-frequency infrasound waves bypass standard sensory receptors to vibrate cochlear support cells, proving that these structural units generate local alternative electric fields that trigger unique, non-linear nerve pathways straight to the human brain.”

Summary: Researchers have demonstrated that the human brain processes low-frequency infrasound using an entirely unique biological mechanism. When acoustic waves drop too low for standard auditory hair cells to register, the energy bypasses them completely, hijacking the inner ear’s structural support cells instead. These support units generate alternative electric fields that fire off unique nerve pathways, explaining why infrasound registers more as a raw physical sensation or internal hum than a standard audible sound.

The Non-Linear Volume Spike: This unique biological pathway explains a well-known acoustic puzzle: when infrasound levels creep up even slightly, the perceived volume escalates at an incredibly rapid, non-linear rate. Small steps in environmental pressure instantly make the sound feel overwhelmingly louder.

“Humans can actually perceive infrasound if the sound level is high enough,” says Carlos Jurado, postdoctoral fellow at the Department of Neuromedicine and Movement Science at the Norwegian University of Science and Technology (NTNU).

Some are more sensitive to low-frequency noise. For example, it can come from ventilation systems, heat pumps, wind turbines, industry, transport, generators or transformers. But this is difficult to measure, because the sound is often perceived more as a hum or physical sensation than more high-frequency sound does.


Stem cell-derived dopaminergic cell transplantation shows encouraging results for Parkinson’s disease

The International Society for Stem Cell Research (ISSCR) today announced the presentation of new clinical data from the STEM-PD Phase I/II clinical trial at the ISSCR 2026 Annual Meeting. The study reports 12-month outcomes evaluating a cryopreserved, off-the-shelf dopaminergic progenitor cell product derived from human pluripotent stem cells for the treatment of Parkinson’s disease.

The findings provide new insights into the safety, feasibility, and biological activity of stem cell-derived dopaminergic cell transplantation in patients with Parkinson’s disease and represent another important step in the clinical translation of regenerative medicine for neurodegenerative disease.

“These data represent the culmination of decades of research aimed at translating stem cell biology into a clinically viable therapy,” said Malin Parmar, Professor in Cellular Neuroscience at Lund University, Sweden, who presented the findings today at the ISSCR 2026 Annual Meeting. “They demonstrate that a stem cell-derived dopaminergic cell product can be manufactured, delivered, and evaluated within a rigorous clinical trial framework. More broadly, they show that regenerative medicine is moving beyond proof-of-concept and into a stage where stem cell-based therapies are being tested in patients for complex neurodegenerative diseases.”

Evidence reveals that the language of thought is not natural language

Some people find it useful to talk through their problems—but language isn’t necessary for logical reasoning, cognitive neuroscientists at MIT’s McGovern Institute for Brain Research say.

In research published in the journal PNAS, researchers led by MIT associate professor of brain and cognitive sciences Evelina Fedorenko have shown that people can perform well on tasks that require logical reasoning even if their language abilities are severely impaired. What’s more, brain imaging shows that language-processing parts of the brain are not called on for logical reasoning.

Philosophers, linguists and cognitive scientists have debated the relationship between language and thought for thousands of years, with many arguing that we use language to think. There are good reasons to suspect a close relationship between logic and language, acknowledges Hope Kean, a postdoctoral researcher and former K. Lisa Yang, Integrative Computational Neuroscience (ICoN) Center graduate fellow in Fedorenko’s lab.

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