Anthriq

13/01/2026

𝐍𝐞𝐱𝐬𝐭𝐞𝐦 𝐢𝐬 𝐧𝐨𝐰 𝐀𝐧𝐭𝐡𝐫𝐢𝐪.

This evolution reflects what we’ve grown into over the years.
From building a single product to building something more foundational.

Anthriq represents our focus on creating infrastructure for human-aware technology. Systems that understand and respond to the human body, not the other way around.

The work continues with the same DNA, the same team, and a clearer sense of direction.

Read more in our Press Release: https://www.anthriq.com/post/nexstem-is-now-anthriq

Explore the new Anthriq website: https://www.anthriq.com

04/08/2025

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗰𝗵𝗲𝗰𝗸𝗲𝗱 𝗼𝘂𝘁 𝗜𝘀𝘀𝘂𝗲 #𝟮𝟱 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵 𝗣𝘂𝗹𝘀𝗲?
𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱, 𝗘𝗠𝗚, 𝗮𝗻𝗱 £𝟱𝟬𝗠 𝗰𝗲𝗻𝘁𝗲𝗿𝘀: 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵’𝘀 𝗻𝗼𝗻-𝗶𝗻𝘃𝗮𝘀𝗶𝘃𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝘁𝗮𝗸𝗶𝗻𝗴 𝘀𝗵𝗮𝗽𝗲.

This issue brings you the most exciting developments: Neuralink targets 20,000 annual implants, Meta builds an EMG wristband, and China guides bees with brain controllers. NIH is backing diamond-based electrodes, while Sanmai, Cumulus Neuroscience, and Nudge raise big to scale non-invasive neurotech.

Our Case Study Spotlight features Nudge, a $100M-funded startup developing a focused ultrasound wearable that stimulates deep brain regions without surgery.

Read the full issue: https://nexstem.substack.com/p/meta-nudge-and-muse-signal-whats

Welcome to Neurotech Pulse – Issue #25! In this edition, we explore the latest advancements shaping neurotechnology.

04/07/2025

𝗛𝗼𝘄 𝗧𝗼 𝗧𝗮𝗸𝗲 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗕𝗲𝘆𝗼𝗻𝗱 𝗧𝗵𝗲 𝗟𝗮𝗯, From setting clear goals to building for deployment, what actually makes research ready?

In this post-roundtable short, we asked: When is research ready to leave the lab? The researchers shared what’s often overlooked when bridging the gap between discovery and impact.

YouTube Link: https://youtube.com/shorts/thMVWtJkfWI?feature=shared

How do we bridge the gap between discovery and impact?Insights from the Beyond the Lab Roundtable- Research EditionWe asked: When is research ready to leave ...

01/07/2025

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗰𝗵𝗲𝗰𝗸𝗲𝗱 𝗼𝘂𝘁 𝗜𝘀𝘀𝘂𝗲 #𝟮𝟯 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵 𝗣𝘂𝗹𝘀𝗲 𝘆𝗲𝘁?
𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗟𝗶𝗺𝗶𝘁𝘀: 𝗦𝗼𝗺𝗻𝗲𝗲, 𝗡𝗲𝘂𝗿𝗮𝗹𝗶𝗻𝗸, 𝗮𝗻𝗱 𝗜𝗕𝗠 𝗗𝗿𝗶𝘃𝗲 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗟𝗲𝗮𝗽 𝗶𝗻 𝗕𝗿𝗮𝗶𝗻-𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗹𝗶𝘃𝗲!

This issue brings you the latest breakthroughs, from IBM and Inclusive Brains’ quantum-AI BCI to China’s first brain implant trial. Paradromics Inc enters human testing, while Epitel expands pediatric EEG, and Epiminder hits key epilepsy milestones. Neuralink secures $650M to scale its vision and speech restoration implants.

Our case study explores Somnee, an EEG-based sleep wearable that personalizes neurostimulation for enhanced rest, currently in beta testing with NBA teams.

Read the full issue: https://nexstem.substack.com/p/interfaces-without-limits-somnee

19/06/2025

𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 “𝗻𝗼𝗻-𝗶𝗻𝘃𝗮𝘀𝗶𝘃𝗲.” 𝗧𝗵𝗶𝘀 𝗳𝗶𝗲𝗹𝗱 𝗶𝘀 𝗿𝗮𝗽𝗶𝗱𝗹𝘆 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴, 𝗴𝗹𝗼𝗯𝗮𝗹𝗹𝘆 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱, 𝗮𝗻𝗱 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹𝗹𝘆 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀.

A new paper in Frontiers in Neuroscience maps 20 years of global research on Transcranial Ultrasound Stimulation (TUS), a promising tool for non-invasive neuromodulation, from Alzheimer's therapy to brain-computer interface (BCI) integration.

The analysis covers 577 papers (2004–2024), uncovering trends in output, key institutions, collaboration patterns, and the shifting landscape of clinical and mechanistic TUS studies.

𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

🎯𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗰𝗮𝗹𝗲: TUS research has surged, especially after 2013. The U.S., China, and Germany lead, with Harvard and the University of Toronto as institutional hubs.

🎯𝗡𝗲𝘂𝗿𝗼𝗱𝗲𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗼𝗰𝘂𝘀: Studies show TUS can improve memory and motor function in Alzheimer’s and Parkinson’s, even without opening the blood-brain barrier.

🎯𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗧𝗵𝗲𝗺𝗲𝘀: Keyword bursts spotlight “functional connectivity,” “human motor cortex,” and “focused ultrasound” as rising themes.

🎯𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Safety remains top priority, with concerns around skull variability, off-target effects, and long-term impact still under investigation.

🎯𝗔𝗜 𝘅 𝗧𝗨𝗦: AI-enhanced systems are being explored for personalized targeting, stimulation timing, and real-time feedback via EEG, fMRI, and fNIRS.

🎯 𝗙𝗿𝗼𝗺 𝗧𝗵𝗲𝗼𝗿𝘆 𝘁𝗼 𝗖𝗹𝗶𝗻𝗶𝗰: Most studies are still preclinical. Multi-center trials and standardized TUS parameters are key to translation and regulatory acceptance.

Transcranial Ultrasound is no longer fringe; it’s becoming one of the most scalable, precise, and AI-compatible tools in the neurotech stack.

Authors: Jianfeng Wang, Yihui Wang, and Shaoqiang Qin

🔗 Read more: https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1595061/full

16/06/2025

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗱 𝗜𝘀𝘀𝘂𝗲 #22 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵 𝗣𝘂𝗹𝘀𝗲?

Before your body moves, your brain has already made the call.

In this issue, we explore the neuroscience of intention before action — from EEG readiness potentials to imagined movement, and how biosignals like EMG, eye fixations, and frontal theta activity reveal what you mean to do, even before you do it.

We ask: What if we could build BCIs that don’t just read actions, but intentions?

🔗 Read the full issue: https://nexstem.substack.com/p/the-silent-command-decoding-intention

12/06/2025

𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝗧𝗿𝗲𝗻𝗱𝘀 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵 𝗶𝗻 𝗼𝘂𝗿 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿! 📈

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🔗 https://nexstem.substack.com/p/inside-neurotechs-next-leap-brain

10/06/2025

J𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 𝗕𝗲𝘆𝗼𝗻𝗱 𝗟𝗮𝗯: 𝗔 𝗥𝗼𝘂𝗻𝗱𝘁𝗮𝗯𝗹𝗲 𝗯𝘆 𝘁𝗵𝗲 𝗡𝗲𝘂𝗿𝗼𝘁𝗲𝗰𝗵 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆!

This exclusive in-person roundtable brings together neuroscience researchers, engineers, and neurotech innovators to exchange perspectives on the evolving relationship between foundational science and practical application, especially within India’s growing neurotech ecosystem.

Whether you're advancing EEG methods, developing new paradigms, or navigating the space between academic work and product ecosystems, this roundtable is designed to surface key questions, shared challenges, and opportunities for collaboration.

📅 𝗪𝗵𝗲𝗻: June 17, 5 PM onwards
📍 𝗪𝗵𝗲𝗿𝗲: Nexstem Office, Koramangala, Bangalore
🚨 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝗦𝗲𝗮𝘁𝘀 – 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗯𝘆 𝗝𝘂𝗻𝗲 𝟭𝟰

The Neurotech Community presents "Beyond the Lab" — a roundtable exploring how neuroscience research extends beyond the lab. This edition brings together…

27/05/2025

𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 “𝗯𝗹𝗶𝗻𝗸 𝗱𝗲𝘁𝗲𝗰𝘁𝗲𝗱.” 𝗧𝗵𝗶𝘀 𝗺𝗼𝗱𝗲𝗹 𝗸𝗻𝗼𝘄𝘀 𝘄𝗵𝗲𝗻 𝗮𝗻𝗱 𝗵𝗼𝘄 𝗹𝗼𝗻𝗴.

A recent paper published in MDPI’s Journal of Imaging introduces a real-time blink detection system using 3D convolutional neural networks — replacing traditional thresholding or facial geometry approaches.

By combining temporal eye-region tracking with a frame prediction accumulator and morphological segmentation, the model detects blinks in ~300 ms windows — no manual thresholds, no heavy pre/post-processing.

𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

🎯𝗧𝗲𝗺𝗽𝗼𝗿𝗮𝗹 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻: The 3D ResNet model doesn’t just detect blinks frame by frame — it analyzes short video-like segments to capture blink movement over time, making it more accurate than traditional methods.

🎯𝗕𝗹𝗶𝗻𝗸 𝗟𝗼𝗰𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Using a prediction accumulator, the system can pinpoint not just if a blink happened, but exactly when it began and ended — improving precision in real-time applications.

🎯𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗹𝗲: Built for both speed and accuracy, the model is optimized to work in real-time — making it viable for live human-computer interaction or assistive tech setups.

🎯𝗣𝗮𝘀𝘀𝗶𝘃𝗲 𝗜𝗻𝗽𝘂𝘁 𝗠𝗼𝗱𝗮𝗹𝗶𝘁𝘆: Blinks become more than noise — they can be used as subtle, hands-free inputs in systems for fatigue monitoring, device control, or BCI applications, without needing active effort from the user.

Blinks are often treated as noise in biosignal systems. But with models like these, they become intentional signals — subtle, fast, and incredibly useful for next-gen human-machine interaction.

Author: George Nousias, Konstantinos K. Delibasis, and Georgios Labiris

🔗 Read more: https://www.mdpi.com/2313-433X/11/1/27

22/05/2025

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗘𝗥𝗗 & 𝗘𝗥𝗦: 𝗪𝗵𝗮𝘁 𝗛𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗕𝗿𝗮𝗶𝗻 𝗪𝗵𝗲𝗻 𝗬𝗼𝘂 𝗠𝗼𝘃𝗲 — 𝗼𝗿 𝗝𝘂𝘀𝘁 𝗧𝗵𝗶𝗻𝗸 𝗔𝗯𝗼𝘂𝘁 𝗜𝘁

Before your body moves, your brain is already getting to work. In motor imagery or cognitive tasks, EEG patterns shift—desynchronizing as activity ramps up (ERD), then resynchronizing when it settles back down (ERS).
These signal changes are key to non-invasive BCIs, enabling control without any physical movement—just pure intent.

Further Reading: https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2021.635351/full

Figure adapted from: Lemm et al., PLOS Computational Biology (2009). Courtesy of the Berlin Brain-Computer Interface (BBCI) Group.