Cells & synapses
Start close to the mechanism.
Whole-cell patch clamp, synaptic physiology, and cellular and subcellular excitability.
YANBO JIANG / 蒋严搏
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.
Begin with the signal. Let the evidence lead.
Conceptual geometry · not experimental data
From cellular mechanisms to the rhythms of interacting brain regions. My foundation is experimental electrophysiology.
Start close to the mechanism.
Whole-cell patch clamp, synaptic physiology, and cellular and subcellular excitability.
Listen across regions.
Multiregional mouse LFP recordings, auditory thalamocortical circuits, and the timing of neural coordination.
Build what the question needs.
Electrophysiology rig construction, troubleshooting, analysis workflows, and experimental method development.
Not a catalog of finished products. A collection of tools, hypotheses, and directions worth testing.
ANATOMY × COMPUTATION
Give every slice a frame of reference.
Anatomical registration and annotation tools for making brain-slice orientation easier to inspect, reproduce, and use.
A prototype direction that includes rotation- and tilt-aware thalamocortical slice alignment. Not presented as a fully validated, general-purpose atlas pipeline.
FULL SELF PATCH CLAMP
Bring the experimental loop together.
A modular approach to patch-clamp automation, connecting camera input, instrument control, and experimental feedback.
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.
MODULATION × LEARNING
Ask how intelligence is organized.
An exploratory computational direction around modulation, state-dependent information routing, and learning and memory.
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.
SMALL INTERFACES × NEW POSSIBILITIES
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.
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.
A personal space, not a single discipline. The name holds room for scientific rigor, the impulse to build, and the freedom to look again.
A view is not the whole.
Look again from another position. Keep distinctions useful without treating them as absolute.
Nothing understood alone.
Ask what changes when a cell, a tool, or an idea becomes part of a larger system.
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。The three themes above are a personal reading, not literal translations.
Working notes. Not final answers.
Prediction matters. But which intervention would distinguish a mechanism from a convincing fit? That is the question I want a model to help sharpen.
Automation is not just a sequence of actions. It also needs a way to recognize uncertainty, notice failure, and decide when not to continue.
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.
NEUROSCIENTIST / BUILDER
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.