Advanced Features
Native Hardware Integration
Seamless Hardware Integration for Effortless Experiments
Benefit-Oriented Text
With Conduct Vision, you can plug your existing lab equipment—like fear conditioning chambers, operant behavior rigs, and automated mazes—directly into our software. No more juggling multiple devices, adapters, or cloud-only solutions. Instead, you get immediate, low-latency control over your entire setup. This simplicity streamlines experiments, reduces errors, and frees you to focus on meaningful research, not technical chores.
Technical Implementation (expand)
Conduct Vision natively supports common laboratory protocols, eliminating the need for external input-output boxes or proprietary connections. All data processing occurs locally, reducing latency and ensuring that your hardware and software communicate without roadblocks. This local, direct integration simplifies workflows, keeps data cleaner, and guarantees that as you introduce new devices, the system can accommodate them without extensive reconfiguration. Unlike many competitors—who rely on extra hardware layers or cloud-based processing—Conduct Vision’s architecture ensures consistent performance and control under one unified platform.
No extra adapters
Instant device recognition
Local processing
= low latency
Real Time Analysis
Adapt your paradigms instantly and accelerate your path to discovery
Waiting hours
In the world of behavioral neuroscience, time matters. Traditional behavior analysis software pipelines force you to wait until an entire session ends—potentially hours—before you know whether your chosen parameters (drug doses, stimuli, or environmental conditions) elicited the intended response. By then, the opportunity to probe a new hypothesis, optimize a dosing schedule, or refine a stimulus sequence is lost, and you find yourself planning another session, reintroducing subjects, and starting all over again.
How Conduct Vision Delivers Instant Feedback
Conduct Vision changes this paradigm by delivering real-time feedback during your experiments. Imagine observing rodent exploratory behavior in a novel maze, testing how hippocampal activity correlates with anxiety-related phenotypes, or evaluating the impact of a new compound on motor coordination. As soon as your subjects begin interacting with the environment, Conduct Vision’s platform provides immediate behavioral metrics—movement patterns, dwell times, approach/avoidance behaviors—right on your screen.
Example Use Cases
Pharmacological Studies
Administer a novel anxiolytic drug and see if the animals’ thigmotaxis (wall-hugging) behavior decreases immediately. If not, modify the dose and watch the change unfold, optimizing your drug regimen in a single session.
Stimulation and Cue Integration
Experimenting with optogenetic stimulation in a reward-based task? Adjust pulse frequencies, light intensities, or cue timings as you watch how your subject’s foraging patterns evolve second by second.
Aging or Disease Models
Testing cognitive flexibility in a transgenic Alzheimer’s model? If subjects don’t adapt to a reversal learning paradigm, tweak task complexity or reinforcement schedules on-the-fly to pinpoint deficits and responses more effectively.
Autonomous Upgrades and Scalability
Add new ML models, scale to larger studies, and stay at the cutting edge—no waiting required.
As your research questions evolve, so does Conduct Vision. You’re never locked into outdated methods or stuck waiting for slow, third-party updates. Need to integrate a new ML algorithm, adapt to emerging data standards, or incorporate additional hardware? No problem. Conduct Vision’s flexible framework lets you grow and innovate without costly retooling. By ensuring that your platform remains state-of-the-art, you protect your investment and keep your lab ahead of the curve
How Conduct Vision Stays at the Cutting Edge
Conduct Vision uses standard data formats (like JSON) and a modular architecture that cleanly separates the UI from the analytics engine. The UI and server communicate through well-defined, machine-readable interfaces, so developers can roll out new ML models or enhanced algorithms on the server side without changing any client code. This decoupled approach minimizes compatibility issues, accelerates updates, and makes it easy to integrate advanced research paradigms. Whether you’re expanding to larger cohorts, adding complex behavior metrics, or just embracing the latest ML techniques, Conduct Vision’s design ensures the technology evolves right alongside your scientific ambitions
Technical Implementation
NIH Data Management & Sharing (DMS) Compliance
Make your data repository-ready from day one.
why DMS compliance matters and how Conduct Vision simplifies it.
The NIH’s Data Management and Sharing Policy demands that funded research produce well-structured, shareable datasets aligned with FAIR principles—Findable, Accessible, Interoperable, and Reusable. Conduct Vision takes care of that for you. Your behavioral data and metadata are already “repository-ready,” saving you hours of manual formatting and ensuring that your work can be easily shared, compared, and reused. This built-in compliance not only simplifies administrative tasks but also enhances your lab’s credibility, collaboration prospects, and funding opportunities.
