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 CPG and provide a perspective on how our approach
can resolve the functional interactions and circuit organization of these
interneuron populations. We demonstrate the versatility of our approach,
which can be applied to any other rhythmic circuits where conditions allow
for neuronal intracellular recordings.