YANBO JIANG / 蒋严搏

One mind.Many waysto see.

Experimental neuroscientist. Hands-on builder. A mind that keeps asking.

I study how brains work, build tools to ask better questions, and explore what intelligence might become.

A MAP OF INQUIRY
A map of inquiryAn abstract globe linking brains, intelligent systems, and perspectives. Conceptual geometry, not experimental data. 01BRAINS 02SYSTEMS 03PERSPECTIVES Y / B — 001OPEN FIELD

Begin with the signal. Let the evidence lead.

Conceptual geometry · not experimental data

NEUROSCIENCE × SYSTEMS × PERSPECTIVESSCROLL TO EXPLORE
01 /THE SCIENTIFIC GROUND

Start withthe signal.

From cellular mechanisms to the rhythms of interacting brain regions. My foundation is experimental electrophysiology.

010203
CELL → CIRCUIT → SYSTEMIllustrative traces, not recordings
01

Cells & synapses

Start close to the mechanism.

Whole-cell patch clamp, synaptic physiology, and cellular and subcellular excitability.

02

Circuits & rhythms

Listen across regions.

Multiregional mouse LFP recordings, auditory thalamocortical circuits, and the timing of neural coordination.

03

Tools & experiments

Build what the question needs.

Electrophysiology rig construction, troubleshooting, analysis workflows, and experimental method development.

02 /THE WORKBENCHWORK IN PROGRESS

Better questions.Better instruments.

Not a catalog of finished products. A collection of tools, hypotheses, and directions worth testing.

4 projects
/01Prototype

ANATOMY × COMPUTATION

AutoAtlas

Give every slice a frame of reference.

Anatomical registration and annotation tools for making brain-slice orientation easier to inspect, reproduce, and use.

Scope & current limits

A prototype direction that includes rotation- and tilt-aware thalamocortical slice alignment. Not presented as a fully validated, general-purpose atlas pipeline.

/02In development

FULL SELF PATCH CLAMP

FSPC

Bring the experimental loop together.

A modular approach to patch-clamp automation, connecting camera input, instrument control, and experimental feedback.

Scope & current limits

Components are being developed and tested. End-to-end autonomous cell targeting, seal formation, break-in, and stable whole-cell recording are not claimed as completed.

/03Exploratory research

MODULATION × LEARNING

UAI

Ask how intelligence is organized.

An exploratory computational direction around modulation, state-dependent information routing, and learning and memory.

Scope & current limits

The emphasis is on explicit hypotheses and testable mechanisms. This is not a claim of general intelligence, a validated neural model, or a demonstrated machine-learning breakthrough.

/04Concept study

SMALL INTERFACES × NEW POSSIBILITIES

SQUID / JELLY

Rethink the interface, not just its size.

Two distinct ideas for neural interfaces: mobility on the brain surface, and recording electrodes deployed from a surface body.

Scope & current limits

SQUID: repositionable surface ECoG, without cortical penetration. JELLY: a surface body deploying electrodes into cortex for LFP recording. These are concepts; fabrication and in vivo validation are not claimed.

Clear about what exists. Explicit about what remains to be tested.
03 /THE WAY OF LOOKING

A point of view,not the whole view.

YANBO + UNIVERSE

A personal space, not a single discipline. The name holds room for scientific rigor, the impulse to build, and the freedom to look again.

齐QÍ

Perspectives

A view is not the whole.

Look again from another position. Keep distinctions useful without treating them as absolute.

与YǓ

Relations

Nothing understood alone.

Ask what changes when a cell, a tool, or an idea becomes part of a larger system.

栩XǓ

Experience

Keep the question alive.

From the butterfly dream to the study of perception: what makes a world feel real?

天地与我并生,
而万物与我为一。
ZHUANGZI · QIWULUN

The three themes above are a personal reading, not literal translations.

04 /OPEN QUESTIONS

Keep somethingunsettled.

Working notes. Not final answers.

01When does a useful model become an explanation?

Prediction matters. But which intervention would distinguish a mechanism from a convincing fit? That is the question I want a model to help sharpen.

02What should an autonomous experiment know before it acts?

Automation is not just a sequence of actions. It also needs a way to recognize uncertainty, notice failure, and decide when not to continue.

03Can different perspectives meet without becoming the same?

Biology, computation, and philosophy ask different kinds of questions. Their value may lie not in collapsing them into one language, but in making the differences productive.

05 /THE PERSON BEHIND THE WORK
YANBO JIANG, PH.D.

蒋严搏。

NEUROSCIENTIST / BUILDER

A scientist by training. A builder by instinct.

My background is in experimental neuroscience, from graduate research in the Shu lab to work in the Zakharenko lab at St. Jude. I work close to the instruments: designing experiments, troubleshooting rigs, and trying to understand what the signals are telling us.

Alongside that work, I explore AI-assisted tools, experimental automation, and computational ideas about intelligence. Yanboverse is where these directions can sit together without pretending they are already the same thing.

Keep the curiosity broad. Keep the claims precise.