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