Nested Receptive Field Protocol

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 of motion-responsive cell types. The system runs a coarse mapping protocol (P1), automatically analyzes the neural responses, then generates a tailored high-resolution follow-up protocol (P2) centered on each neuron’s identified receptive field. This two-stage adaptive approach improves data quality by focusing resources where they matter most.

This protocol was based on a similiar protocol developed by Eyal Gruntman in the Reiser Lab and was designed for experiments carried out by Jin Yong Park at HHMI Janelia for a collaboration with S Lawrence (Larry) Zipurski and Piero Sanfilippo at UCLA.

Technical Highlights

• 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

Links

• Source Code
• Documentation