HomeAboutServices Neural LabSoftware DevBlogContact
Insights & Research

Notes from the
Neural Frontier

Technical perspectives, research observations, and field notes from our work at the intersection of neuroscience, computing, and health technology.

Topics:
Neural Computing
How Brain-Computer Interfaces Actually Work: Signals, Hardware, and the Hard Problems Nobody Talks About

Everyone references BCI in pitch decks. Fewer people explain what actually happens between a neuron firing and a cursor moving across a screen — the electrode physics, the signal-to-noise ratios, the decode latency. Here's what the technology really involves, and why the gap between laboratory demonstrations and clinical deployment is wider than the headlines suggest.

Juliana Rutherford — MD, Neurivvy Intelligenx May 2026 12 min read
Research
Neural Networks vs. Biological Neurons: Where the Analogy Holds and Where It Breaks Down

The term "neural network" borrows its name from biology, but modern deep learning architectures differ from actual neurons in ways that matter — for system design, for energy efficiency, and for understanding why some tasks are easy for one and not the other.

Juliana Rutherford April 2026 10 min read
Health-Tech
AI in Neurology Diagnostics: What's Actually Deployed, What's Still Research, and What the Gap Looks Like

Early detection of Alzheimer's, real-time seizure prediction, automated MRI segmentation — some of this is running in hospitals today. Some is still years away. Knowing which is which matters if you're building in this space.

Juliana Rutherford April 2026 11 min read
Neural Computing
Neuromorphic Computing: Why Building Chips That Think Like Brains Is Harder Than It Sounds

Intel's Loihi, IBM's NorthPole, BrainScaleS — the field has serious hardware now. But neuromorphic computing still hasn't hit the mainstream deployment numbers that early timelines promised. The engineering challenges behind that gap are genuinely fascinating.

Juliana Rutherford March 2026 9 min read
Research
EEG Signal Processing: A Working Primer for Engineers Coming From Software Backgrounds

If you've worked with time-series data in software but never touched biosignals, EEG has some genuinely different properties that matter — noise sources, artifact types, and preprocessing choices that can make or break a classification pipeline.

Juliana Rutherford February 2026 13 min read
Cloud
Designing Cloud Infrastructure for Medical AI: Compliance, Latency, and the Tradeoffs Nobody Warns You About

HIPAA, GDPR, HL7/FHIR, inference latency under 200ms, audit trails, model versioning — building cloud infrastructure for clinical AI is a different discipline from standard enterprise architecture. Here's what the requirements actually look like from the inside.

Juliana Rutherford January 2026 11 min read
Stay Updated

New research notes, periodically

No newsletters. No weekly digests. Just occasional long-form pieces when there's something worth writing about.

Get In Touch →