Fiber Photometry and SiNAPS Probe Analysis Tools for "Endocannabinoid Modulation of a Reciprocal Fronto-Coerulear Connection in Contextual Discrimination"

This repository contains code for analyzing fiber photometry data and spike trains recorded with high-density SiNAPS probes. The provided scripts enable preprocessing, signal extraction, and statistical analysis across different programming languages:

Python: Fiber photometry signal processing and analysis.

MATLAB: Antidromic and orthodromic response classification using spike reshuffling.

R: Statistical analysis of SiNAPS probe orthodoromic time-course responses using Restricted Maximum Likelihood (REML). 

Contributions:
A.L., F.B., L.N.: Data acquisition
A.L., A.C., M.V., F.B.: Algorithm conceptualization
A.L., A.C., M.V.: Code development
L.B., R.T.: Supervision