Nested Receptive Field Protocol
MATLAB
Python
Signal Processing
Experimental Design
Adaptive electrophysiology toolkit that dynamically generates stimuli based on real-time neural response analysis.
Overview
Designed and built an adaptive experimental protocol for electrophysiology recordings. The system runs a coarse mapping protocol, automatically analyzes the neural responses, then generates a tailored high-resolution follow-up protocol centered on each neuron’s identified receptive field. This two-stage adaptive approach reduces experimental time and improves data quality by focusing resources where they matter most.
Technical Highlights
- 228 commits of iterative development
- Adaptive pipeline design: automated analysis of protocol 1 results feeds directly into protocol 2 generation
- Real-time signal processing of electrophysiology data
- MATLAB GUI for parameter input and experiment control
- Automated protocol generation from prior experimental results — no manual intervention required between stages
Technologies
MATLAB Python Signal Processing Experimental Design Real-time Analysis