Code from: Inference technique for the synaptic conductances in rhythmically active networks and application to respiratory central pattern generation circuits

Unraveling synaptic interactions between excitatory and inhibitory interneurons within rhythmic neural circuits, such as central pattern generation (CPG) circuits for rhythmic motor behaviors, is critical for deciphering circuit interactions and functional architecture, which is a major problem for understanding how neural circuits operate. Here we present a general method for extracting and separating patterns of inhibitory and excitatory synaptic conductances at high temporal resolution from single neuronal intracellular recordings in rhythmically active networks. These post-synaptic conductances reflect the combined synaptic inputs from the key interacting neuronal populations and can reveal the functional connectome of the active circuits. To illustrate the applicability of our analytic technique, we employ our method to infer the synaptic conductance profiles in identified rhythmically active interneurons within key microcircuits of the mammalian (mature rat) brainstem respiratory ..., , # Code from: Inference technique for the synaptic conductances in rhythmically active networks and application to respiratory central pattern generation circuits

https://doi.org/10.5061/dryad.bcc2fqzrp

Robust inference technique for extracting excitatory and inhibitory synaptic conductances from membrane potential or current recordings in rhythmically active biological networks.

This methodology uses linear regression of voltage-current relationships at distinct phases of a rhythmic cycle to accurately decompose total synaptic input into its constituent components.

## Inference Tool (`med2`)

The `med2` utility is the core engine for processing experimental or simulated electrophysiological recordings. It performs several key steps:

1. **Filtering**: Implements median filtering and wavelet transforms to reduce noise.
2. **Cycle Detection**: Identifies rhythmic components and segments the data into phases.
3. **Linear Regression**: Calculates the best-fit conductance and reversal po..., ,