PiVR
PiVR enables closed-loop virtual-reality experiments that deliver real-time behavioral tracking and high-resolution optogenetic stimulation to investigate causal relationships between genetically labeled neuron activity and sensorimotor behavior.
Key Features:
- Closed-Loop System: Real-time tracking drives behavior-contingent delivery of light stimuli to study sensorimotor responses.
- High-Resolution Optogenetics: Supports optogenetic stimulation of genetically labeled neurons in unrestrained animals.
- Temporal Resolution: Operates at 70 Hz to provide precise temporal control of stimulus delivery.
- Low Latency: Feedback and stimulus delivery occur with latencies under 30 milliseconds.
Scientific Applications:
- Chemotaxis: Used to study sensory navigation such as Drosophila adult negative chemotaxis where locomotor speed is adjusted to avoid areas associated with optogenetically induced bitter taste.
- Phototaxis: Applied to examine positive phototaxis, for example zebrafish larvae modulating turning maneuvers to orient in virtual white-light gradients.
- Comparative Studies: Enables comparison of behaviors elicited by real versus virtual stimuli, such as odor gradients in Drosophila larvae.
Methodology:
Real-time tracking and closed-loop control deliver light stimuli and virtual gradients for optogenetic manipulation at 70 Hz with latencies under 30 ms.
Topics
Details
- Added:
- 1/14/2020
- Last Updated:
- 1/10/2021
Operations
Publications
Tadres D, Louis M. PiVR: An affordable and versatile closed-loop platform to study unrestrained sensorimotor behavior. PLOS Biology. 2020;18(7):e3000712. doi:10.1371/journal.pbio.3000712. PMID:32663220. PMCID:PMC7360024.
Funding: - National Science Foundation: IOS1523125, PHY-1748958, R25GM067110
- National Institute of Health: R01-NS113048
- Gordon and Betty Moore Foundation: 2919.01
Documentation
User manual
https://pivr.readthedocs.io/en/latest/Links
Repository
https://gitlab.com/LouisLab/PiVRIssue tracker
https://gitlab.com/LouisLab/pivr/issues