Neural Implant podcast - the people behind Brain-Machine Interface revolutions

About Neural Implant podcast - the people behind Brain-Machine Interface revolutions

This podcast's purpose is to bring together the field of neuroprosthetics / brain machine interfaces / brain implants in an understandable conversation about the current topics and breakthroughs. We hope to complement scientific papers on new neural research in an easy, digestable way. Innovators and professionals can share thoughts or ideas to facilitate 'idea sex' to make the field of brain implants a smaller and more personal space.

Publisher

Ladan Jiracek

Category

health & fitness · technology

Language

en

Explicit

No

First episode

10 Apr 2017

Latest episode

10 Aug 2026

Latest episodes

269 episodes in the feed.

1. 

   10 Aug 2026

   Samuel Browd | Venture Studios, BCI, and Digital Neurosurgery

   Dr. Samuel Browd is a pediatric neurosurgeon, professor at the University of Washington, and Co-CEO/Chief Medical Officer of NeuFluent (https://www.neufluent.com/), a venture studio focused on neurological technologies. In this episode, we discuss his path from early neuroscience research and pediatric neurosurgery into device development, brain-computer interfaces, and the challenge of moving promising neurotechnology from universities into real clinical use. We also explore the idea of "digital neurosurgery": how neurosurgery still captures enormous amounts of valuable data in analog or siloed ways, why AI and computer vision may reshape surgical workflows, and how brain-computer interfaces could become a major part of neurosurgery over the next decade. Along the way, Dr. Browd reflects on startup formation, the role of venture studios, ethics around neural data, and why students entering the field today may be arriving at a uniquely important moment. Top 5 takeaways 1. Neurotechnology translation is still too slow. Dr. Browd argues that the traditional path from academic discovery to clinical technology is expensive, time-consuming, and often inefficient. Through NeuFluent, he is trying to rethink how universities, clinicians, engineers, strategics, and investors can work together to move neurological technologies toward patients faster. 2. Venture studios may offer a different model for neurotech commercialization. Rather than acting only like an accelerator, NeuFluent brings together engineering, regulatory, legal, marketing, and commercialization expertise around neurological technologies. The goal is to evaluate market need, development path, and exit strategy earlier, before spending years and large amounts of capital building something without a clear home. 3. Neurosurgery still wastes or underuses valuable data. Dr. Browd describes neurosurgery as still largely analog, even though procedures generate rich digital data from imaging, electrophysiology, navigation, microscopes, and intraoperative tools. He argues that much of this information is siloed, uncaptured, or used only for immediate clinical purposes rather than organized for computational analysis and future innovation. 4. AI and BCI could transform neurosurgery, but workflow matters. Sam emphasizes that new tools will only be adopted if they fit naturally into clinical workflows. If a technology adds extra steps for busy surgeons, adoption will be limited; the opportunity is to use existing data streams and workflows to build better systems around the surgeon rather than burdening them. 5. Students are entering neurotechnology at a uniquely exciting moment. For students interested in BCI, neurosurgery, AI, or medical devices, Dr. Browd sees this as a rare moment where powerful computational tools and clinical need are converging. His advice is to "lean in" because the field now has the potential to move faster and directly help patients in ways that were not possible before. Timestamps 0:00 Introduction to Dr. Samuel Browd, pediatric neurosurgery, NeuFluent, and neurotechnology 0:50 Sam's path from Gainesville to neurosurgery, neuroscience, and device development 2:10 Early interest in Alzheimer's disease, epilepsy, MRI, and brain science 3:35 Pediatric neurosurgery and the long-term impact of treating children 4:20 Seeing early Utah arrays and becoming interested in BCI 6:10 What NeuFluent is and why neurotech may need a venture studio model 8:50 How NeuFluent differs from a traditional incubator or accelerator 10:40 Academic commercialization, the valley of death, and changing university incentives 12:10 NeuFluent's current status, patents, stealth work, and approach to building from within 15:50 What "digital neurosurgery" means 17:25 Creating the Foundation for Digital Neurosurgery and organizing neurosurgery around AI 20:30 Neurosurgical data that is currently uncaptured, siloed, or underused 23:20 Why workflow integration determines whether new technologies are adopted 25:30 The next 10–20 years of BCI, implantable devices, AI, and neurosurgery 27:40 What needs to change to bring neurotechnology to patients faster 30:50 Advice for students entering BCI, neurosurgery, and neurotechnology 33:00 Why Sam is optimistic about AI and neurotechnology

2. 

   27 Jul 2026

   Jin Hyung Lee | Visualizing Brain Circuits with EEG and AI

   Dr. Jin Hyung Lee is an associate professor at Stanford and founder of LVIS, a company translating years of brain circuit research into clinical software for neurological care. In this episode, we discuss how her team thinks about the brain as a circuit system, why neurological disorders can be difficult to diagnose with today's tools, and how LVIS's NeuroMatch platform aims to use EEG data to visualize brain network function in a more accessible way. We also talk about why EEG remains clinically useful despite its limitations, how software can help clean and interpret noisy brain signals, and why Dr. Lee believes brain health should become something we monitor and maintain rather than only address after major disability occurs. The conversation touches on epilepsy, memory problems, traumatic brain injury, anxiety, depression, sleep, clinical access bottlenecks, and the broader future of brain health clinics. Top 5 takeaways 1. Brain disorders may be better understood as circuit problems. Dr. Lee frames neurological disease around how signals flow through the brain, rather than only around symptoms or broad diagnostic categories. Her goal is to visualize brain network function so clinicians can better understand where communication may be disrupted. 2. EEG is imperfect, but accessible. EEG is noisy and spatially limited, but it is far easier to deploy than MRI or invasive recordings. LVIS chose EEG because a 19-channel clinical EEG system could potentially make brain network analysis more accessible to patients and clinicians. 3. Software may help extract more useful information from traditional brain recordings. Dr. Lee explains that the NeuroMatch approach combines signal processing, machine learning for data cleaning, and years of circuit neuroscience insight to extract meaningful patterns from EEG. The claim is not simply "AI finds everything," but that software can help make noisy clinical data more interpretable. 4. Access to neurological testing is a major bottleneck. Although EEG may seem simple from an engineering perspective, clinical EEG requires trained technicians, physicians, interpretation time, and infrastructure. Dr. Lee argues that automation and cloud-based software could reduce delays and make neurological evaluation more available. 5. Dr. Lee's long-term vision is preventive brain health. Rather than waiting until someone is severely impaired, she imagines a future where people monitor brain function the way they monitor blood pressure, glucose, weight, or car maintenance. That is the central philosophical shift of the episode: brain health as something measurable, trackable, and potentially maintainable. 0:00 Introduction to Dr. Jin Hyung Lee, Stanford, LVIS, and NeuroMatch 0:50 Translating 15 years of Stanford brain circuit research into clinical tools 1:30 Why brain disorders require understanding how signals flow through the brain 2:35 NeuroMatch, EEG, and visualizing individual brain network status 3:30 Epilepsy, memory problems, TBI, anxiety, depression, sleep, and other applications 5:00 What a brain network scan might reveal about symptoms 7:30 Measuring brain performance like glucose, weight, or other health metrics 8:10 Why use EEG despite its noisy and low-resolution nature? 9:20 Standard 19-channel clinical EEG and extracting more information from limited data 12:25 Why this was not possible before: hardware, signal processing, and circuit knowledge 15:00 Novera Brain Health Institute and a new model for brain health clinics 18:40 Why clinical EEG is less accessible than it seems 21:30 Software as a medical device and keeping physicians in the loop 23:30 Dr. Lee's origin story: electrical engineering, her grandmother's stroke, and brain circuits 27:00 The five-year vision: maintaining brain health before disability occurs 29:00 Early clinical use and the hope for changing the future of brain disorders

3. 

   13 Jul 2026

   JB (NextSense) | Ear EEG Earbuds That Measure and Improve Sleep

   In this episode of the Neural Implant Podcast, JB, founder and CEO of NextSense (https://nextsense.io/), discusses how his team is transforming ordinary-looking earbuds into wearable brain interfaces capable of recording EEG directly from the ear. Originally incubated inside Google X before spinning out as an independent company, NextSense combines consumer electronics with neuroscience to monitor sleep, enhance slow-wave activity through closed-loop audio stimulation, and explore future applications ranging from epilepsy forecasting to Alzheimer's disease monitoring. We also discuss the engineering challenges of ear EEG, wearable neuromodulation, vagus nerve stimulation, and what it takes to bring a neurotechnology product from the lab into consumers' hands. Top 5 Takeaways 1. Ear EEG makes continuous brain monitoring practical Rather than using traditional scalp electrodes, NextSense records EEG directly from the ear canal. While ear EEG doesn't provide the spatial resolution of clinical EEG systems, it offers a comfortable, easy-to-use solution for long-term brain monitoring that users can wear every night like standard wireless earbuds. 2. Closed-loop audio stimulation can enhance deep sleep The earbuds detect when users enter deep sleep and deliver precisely timed bursts of pink noise synchronized to slow-wave oscillations. Clinical studies showed roughly a 10–15% improvement in next-day declarative memory, with some users experiencing over 20% increases in slow-wave activity, demonstrating the potential of closed-loop neuromodulation during sleep. 3. NextSense evolved from a Google X moonshot The technology began inside Google X as a project exploring sleep enhancement before spinning out during Google's restructuring efforts in 2020. Building the company required licensing additional IP from UC San Diego before Google agreed to transfer its own intellectual property, creating one of Google's early external spin-outs. 4. Earbuds could become medical devices—not just consumer electronics Beyond sleep tracking, NextSense is developing applications for epilepsy seizure forecasting, Alzheimer's disease monitoring, and future FDA-cleared neurological diagnostics. The long-term vision is to make medical-grade brain monitoring available through everyday consumer earbuds. 5. The future combines brain sensing with vagus nerve stimulation Following the acquisition of Nēsos' transcutaneous vagus nerve stimulation (tVNS) technology, NextSense plans to integrate electrical vagus nerve stimulation, EEG, heart rate variability, temperature sensing, and AI-powered analytics into a single wearable platform designed to both monitor and improve brain health. Timestamps 0:18 Introduce yourself and NextSense 2:00 How did NextSense spin out of Google X? 6:10 Why leave Google and start an independent company? 8:05 How does EEG from the ear actually work? 11:05 Why focus on improving sleep? 13:55 How does the closed-loop sleep stimulation work? 16:25 Do you understand the mechanism behind the sleep improvements? 21:20 Tell us about the hardware. 25:00 How good is the EEG signal from earbuds? 29:45 What other neurological applications are you pursuing? 33:15 Where do you see this technology going next? 37:30 How is NextSense different from other wearable neurotechnology companies? 43:15 Where can listeners learn more?

Who has been a guest on Neural Implant podcast - the people behind Brain-Machine Interface revolutions

Names identified in recent episode analyses. Showing up to five guests.

• Francesco Petrini
• Ignacio Sáez
• Paul Goode
• Fabio Boi
• Dr Christian Wende

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.8 / 5

18 ratings

Spotify

4.7 / 5

9 ratings

Podcast Authority Score: 67 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

96

Social presence

0

YouTube

0

Engagement

92

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