New Atlas: The strange thing your eyes do when thinking gets hard

The strange thing your eyes do when thinking gets hard

By Pranjal Malewar

December 28, 2025

The eyes have it: Our blinking gives away how interested we are in an exchange

The eyes have it: Our blinking gives away how interested we are in an exchange

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The rhythmic action of blinking helps keep our vision sharp. Initially studied only in vision science, blinking is now also recognized as a subtle cue showing how the brain handles attention and resources, even when we are listening. It’s thought that as listening becomes more difficult, we blink less, with each pause indicating sharper focus and alertness.

Concordia University researchers ran two experiments to examine how blinking shifts in response to different kinds of stimuli. The researchers hypothesized that blinks were more than just eye care responses – they may also be small signs that the brain is active. The study’s findings suggest that blinking connects to thinking, helping us tune out background noise so we can focus on one person talking in a noisy room.

Their study found that when we listen harder, we blink less, keeping our eyes open in the moments that matter most, especially when noise makes understanding more difficult.

“We wanted to know if blinking was impacted by environmental factors and how it related to executive function,” said lead author Pénélope Coupal. “For instance, is there a strategic timing of a person’s blinks so they would not miss out on what is being said?”

Two groups of listeners – 21 in the first test, 28 in the second – sat in a silent Montreal lab, 2 m (6.6 ft) from a 35‑inch screen. Wearing eye-tracking glasses, every blink was carefully recorded, with precise start and end times noted, turning eyelids into tiny markers of attention.

In the first test, the 21 individuals listened to 80 sentences with different amounts of background noise, while lighting remained consistent. In the second test, the 28 participants listened to 120 sentences at only two noise levels, quiet and loud, but the lighting changed between dark, medium, and bright.

When we struggle to hear speech in noisy places, our eyes tell a story: blinking slows, with each pause a quiet sign of mental effort. Researchers found this effect is most intense in very bright or very dark settings, where our eyes seem more sensitive to extremes of light, making the drop in blinks sharper than in steady, medium lighting.

“We don’t just blink randomly,” Coupal said. “In fact, we blink systematically less when salient information is presented.”

People blinked less while actively listening to sentences than in the moments before or after, with this suppression most striking in the noisiest settings where speech was hardest to follow. Although blink rates varied widely between individuals – from 10 blinks per minute to as many as 70 – the overall pattern was clear: fewer blinks marked the effort of listening through noise.

The authors noted, “Blinking could serve as a complementary measure to investigate effortful listening.”

Earlier studies on eye behavior mostly looked at pupil size, ignoring blinks. This study rechecked the data and showed that when and how often we blink can point to brain effort. Blink rates are a simple, low‑effort way to measure thinking, both in the lab and in daily life.

Researchers call for deeper studies to see how blink patterns play out in more complex tasks and across different groups of people. They also want to find the exact moment a blink makes us miss sights or sounds, showing how these tiny pauses affect the way we experience the world

The findings are published in the journal Trends in Hearing.

Source: Concordia University

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Neuroscience News: Stroke and Speech

Neuroscience News Logo

Stroke Weakens How the Brain Integrates Speech Sounds

Featured Neurology Neuroscience

·December 29, 2025

Summary: A new study comparing stroke survivors with healthy adults reveals that post-stroke language disorders stem not from slower hearing but from weaker integration of speech sounds. While patients detected sounds as quickly as controls, their brains processed speech features with far less strength, especially when words were unclear.

Healthy listeners extended processing during uncertainty, but stroke survivors did not, suggesting they may abandon sound analysis too early to fully grasp difficult words. The findings highlight neural patterns essential for verbal comprehension and point to faster, story-based diagnostic tools for language impairments.

Key Facts

  • Weakened Integration: Stroke survivors process speech sound features with much lower neural strength despite normal sound detection speed.
  • Reduced Persistence: When words are unclear, they do not sustain processing long enough to resolve ambiguity.
  • Diagnostic Potential: Simple story-listening tasks may replace lengthy behavioral tests for language disorders.

Source: SfN

Following stroke, some people experience a language disorder that hinders their ability to process speech sounds. How do their brains change from stroke? 

Researchers led by Laura Gwilliams, faculty scholar at the Wu Tsai Neuroscience Institute and Stanford Data Science and assistant professor at the Stanford School of Humanities and Sciences, and Maaike Vandermosten, associate professor at the Department of Neurosciences at KU Leuven, compared the brains of 39 patients following stroke and 24 healthy age-matched controls to unveil language processing brain mechanisms.  

This shows a person with a hearing device and the outline of a head and brain.
Additionally, when there was uncertainty about what words were being said, healthy people processed speech sound features longer compared to those who had experienced a stroke. Credit: Neuroscience News

As reported in their Journal of Neuroscience paper, the researchers recorded brain activity while volunteers listened to a story.

People with verbal speech processing issues from stroke were not slower to process speech sounds but had much weaker processing than healthy participants.

According to the researchers, this suggests that people with this language disorder can hear sounds of all kinds as well as healthy people but have issues integrating speech sounds to understand language. 

Additionally, when there was uncertainty about what words were being said, healthy people processed speech sound features longer compared to those who had experienced a stroke. 

This could mean that, following stroke, people do not process speech sounds long enough to successfully comprehend words that are difficult to detect. 

This work points to brain activity patterns that may be crucial for understanding verbal language, according to the authors. 

First author Jill Kries expresses excitement about continuing to explore how this simple approach—listening to a story—can be used to improve diagnostics for conditions characterized by language processing issues, which currently involve hours of behavioral tasks.

Key Questions Answered:

Q: Why do some stroke survivors struggle to understand spoken language?

A: Their brains detect sounds normally but integrate speech features with reduced strength, making comprehension harder even when hearing is intact.

Q: What happens when the spoken words are unclear?

A: Healthy listeners process sound features longer to resolve ambiguity, but stroke survivors stop too soon, leading to missed meaning.

Q: How could this research change diagnostics for language disorders?

A: Story-listening brain recordings may provide a quick, naturalistic alternative to hours of behavioral language testing.

Editorial Notes:

  • This article was edited by a Neuroscience News editor.
  • Journal paper reviewed in full.
  • Additional context added by our staff.

About this stroke and speech processing research news

Author: SfN Media
Source: SfN
Contact: SfN Media – SfN
Image: The image is credited to Neuroscience News

Original Research: Closed access.
“The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia” by Laura Gwilliams et al. Journal of Neuroscience


Abstract

The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia

During successful language comprehension, speech sounds (phonemes) are encoded within a series of neural patterns that evolve over time.

Here we tested whether these neural dynamics of speech encoding are altered for individuals with a language disorder. We recorded EEG responses from human brains of 39 individuals with post-stroke aphasia (13♀/26♂) and 24 healthy age-matched controls (i.e., older adults; 8♀/16♂) during 25 minutes of natural story listening.

We estimated the duration of phonetic feature encoding, speed of evolution across neural populations, and the spatial location of encoding over EEG sensors.

First, we establish that phonetic features are robustly encoded in EEG responses of healthy older adults.

Second, when comparing individuals with aphasia to healthy controls, we find significantly decreased phonetic encoding in the aphasic group after shared initial processing pattern (0.08-0.25s after phoneme onset).

Phonetic features were less strongly encoded over left-lateralized electrodes in the aphasia group compared to controls, with no difference in speed of neural pattern evolution.

Finally, we observed that healthy controls, but not individuals with aphasia, encode phonetic features longer when uncertainty about word identity is high, indicating that this mechanism – encoding phonetic information until word identity is resolved – is crucial for successful comprehension.

Together, our results suggest that aphasia may entail failure to maintain lower-order information long enough to recognize lexical items.

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aphasiaauditory neurosciencebrain researchlanguagelanguage processingneurobiologyNeurologyNeurosciencescienceSfNstroke

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2026: We need to think in terms of who is the biggest supplier of Rare Earths and the implications

Mario Nawfal

@MarioNawfal

🇨🇳CHINA CONTROLS HALF THE WORLD’S RARE EARTH MINERALS AND THAT’S A MASSIVE PROBLEM

Rare earth elements sound boring until you realize they’re in everything that makes modern life work: smartphones, electric vehicles, wind turbines, fighter jets, and precision-guided weapons. Without them, your iPhone is a paperweight and your military can’t function. China controls 44 million metric tons of the world’s 91.9 million ton reserve. That’s 48% of the global supply. Brazil comes in second at 21 million tons, but they’re still early in development. The US? Only 1.9 million tons, or 2% of global reserves. This is a national security nightmare. America depends almost entirely on imports and foreign processing to access the materials that power everything from consumer electronics to defense systems. If China decides to cut off supply, the entire Western tech and military industrial base grinds to a halt. Trump recently cut a deal with Xi to keep rare earths flowing in exchange for reduced tariffs. His administration is also funding domestic mining projects and partnering with allies to diversify supply chains. The problem: building that infrastructure takes years, and right now China holds all the cards. Source: Visual Capitalist, ZeroHedge

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Ballot Box or Bullets: Policy shift for Muslims. They are opting for the Ballot Box

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The media in Minnesota is one big cover-up. Now empty cars and funds paid to Somalian fraudsters who are said to be taking people to and from hospital – invisible people like invisible children in schools

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The Sanctions Regime has failed utterly. Sir Niall Ferguson, Hoover Institute about Russia

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AI rings are coming: will you wear one on your finger next year?

AI rings are coming: will you wear one on your finger next year?

By Abhimanyu Ghoshal

December 27, 2025

AI rings, like the Wizpr from Vtouch, want to be the next big thing in personal hardware

AI rings, like the Wizpr from Vtouch, want to be the next big thing in personal hardware

Vtouch

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Over the last few years, smart rings have entered the wearables space to offer an alternative form factor for health tracking and other connected functionality alongside fitness trackers and smartwatches. From the sound of recent announcements, it looks like a new type of digital jewelry will grace your finger: the ultra-compact AI ring.

We’ve seen dedicated AI hardware before, and some of them, like the Rabbit R1, the Friend necklace, and the Humane AI Pin, simply failed to function as promised and to meaningfully fit into people’s lives. This upcoming crop of rings is taking a slightly different approach: enabling quick, discreet access to AI-powered services.

The Stream Ring, the Wizpr Ring, and the Pebble Index are all basically tiny microphones, differing in design and what they do when you speak into them in hushed tones.

The US$99 Pebble Index, which I covered recently, captures short voice notes – like an idea for your next podcast episode, or a reminder to pick up specific groceries. It then uses privacy-respecting offline AI models to transcribe them and either save them as text notes, or carry out basic actions like setting timers and reminders. You can then find these in your phone, or on a Pebble smartwatch.

The Pebble Index is designed to quickly capture thoughts that are a few seconds long, and it's expected to last you a couple of years with its non-rechargeable battery
The Pebble Index is designed to quickly capture thoughts that are a few seconds long, and it’s expected to last you a couple of years with its non-rechargeable battery

Sandbar’s $299 Stream Ring is somewhat similar, in that it records and transcribes your words. But it takes things further by interacting with that content “through thoughtful questions and intelligent responses” via a chatbot that uses an “Inner Voice” partially trained on your own voice. This works with earbuds, or onscreen via a mobile app without buds. https://www.youtube.com/embed/HTd9aQHdodo?enablejsapi=1

Stream by Sandbar

Then there’s the crowdfunded $199 Wizpr Ring from Vtouch, which promises to instantly enable natural conversations with ChatGPT and other leading LLMs. You don’t need to push a button on the ring or even utter a wake word: bringing the wearable close to your mouth and starting to speak does the trick. You’ll hear responses come through your earbuds.

The company envisions users asking for directions while on the go, getting upcoming events in their daily agenda, controlling smart home devices, and talking to a chatbot like you normally would, with a lot less friction than before. It’ll transcribe voice notes as well.

The Wizpr Ring lets you converse with popular AI chatbots without a wake word or a button press
The Wizpr Ring lets you converse with popular AI chatbots without a wake word or a button press

That’s mostly it for the moment. These rings also promise to do a bit more like control music playback, and possibly run other actions in the future. But who are they for? Well, if you’ve ever enjoyed using a smartwatch to set a timer or record a voice note because that was more convenient than whipping out your phone, you might be into this. The AI ring-wearer is the sort of person who’ll value the easier access to those tools, and the ability to use them without drawing attention.

The AI-focused angle makes sense too. It’s been three years since ChatGPT launched back in November 2022, which means loads of people among its 800-million-strong user base have spent plenty of time getting used to querying it to understand their world, build ideas, and get things done, in lieu of other apps. Some of them might well appreciate a gadget that lets them start talking to their AI assistant almost as soon as they’ve got a thought to share.

My concern is these rings can largely be made redundant by wireless earbuds that people are already using to listen to music. If the whole point is to speak into them, earbuds are almost there: Apple’s AirPods can invoke Siri with a wake word, and other brands’ buds let you talk to AI assistants with a gesture. With that, it feels like earbuds are practically one over-the-air feature update away from mimicking an entire product category.

That being said, these rings can beam your thoughts over to AI models even when you’re not wearing your earbuds. That feels like it could be marginally useful, especially if you benefit from enriching your personal chatbots with more contextual information that can later help with scheduling appointments and taking other actions on your behalf. But this use case might be a year or two away, and require AI services to offer more agentic capabilities to carry out instructions autonomously.

That’s not to say these rings will be bad products, but they will have to be damn good at what they do to earn their keep, and enjoyable to use and live with. That means they’ll have to deliver on durability, battery life, charging time, and reliable, bug-free performance. And lastly, there’s pricing to think about. If these cost a lot, or require a subscription when people already pay for AI services (the Stream Ring has an optional $10 monthly plan to unlock advanced features), that might be a hard pill to swallow.

Oh, and they’ll have to compete with other gadgetry for your digits, like Samsung’s Galaxy Ring, which does all kinds of fitness tracking and other stuff through your phone.

For now, these devices don’t offer a revolution in how you interact with AI, but rather marginal convenience. That could be fun for enthusiasts, but staying fashionable is going to prove just as hard as it was for skinny jeans.

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Transition from the Industrial Age to the Information Age – 1974 Arthur C. Clarke

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Norway Oil Sovereign Wealth Fund valued at over $1.8 Trillion: UK and Ireland asleep at the wheel for decades now

James Melville 

@JamesMelville

·

Norway has over $1.8 trillion in a sovereign wealth fund from oil and gas revenues. The UK has no such thing. Also, despite having huge natural energy resources, the UK imports £40 billion of energy a year from Norway. Absolutely ridiculous state of affairs.

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NGO’s the time has come for transparency and accountability : Elon Musk at work during Christmas

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