Cone bipolar cell synapses generate transient versus sustained signals in parallel ON pathways of the mouse retina

Parallel processing is a fundamental organizing principle in the nervous system and understanding how parallel neural circuits generate distinct outputs from common inputs is a key goal of neuroscience. In the mammalian retina, divergence of cone signals into multiple feedforward bipolar cell pathways forms the initial basis for parallel retinal circuits dedicated to specific visual functions. Here, we used patch-clamp electrophysiology, electron microscopy and two photon imaging of a fluorescent glutamate sensor to examine how kinetically-distinct responses arise in transient versus sustained ON alpha RGCs (ON-T and ON-S RGCs) of the mouse retina. We directly compared the visual response properties of these RGCs with their presynaptic bipolar cell partners, which we identified using 3D electron microscopy reconstruction. Different ON bipolar cell subtypes (type 5i, type 6 and type 7) had indistinguishable light-driven responses whereas extracellular glutamate signals around RGC dendrit..., , # Cone bipolar cell synapses generate transient versus sustained signals in parallel ON pathways of the mouse retina

Dataset DOI: [10.5061/dryad.47d7wm3tz](https://doi.org/10.5061/dryad.47d7wm3tz)

## Description of the data and file structure

These files contain source data as described in the associated preprint. Details of data collection and analysis can be found in the paper.

### Files and variables

#### File: Figure1_data.mat

**Description:** Matlab file containing a single Matlab structure with source data for Figures 1D and E.

##### Variables:

* Matlab structure containing spike triggered averages for On sustained and On transient cells (Figure 1D) and collected data on the zero crossing times and biphasic indices for the spike triggered averages as plotted in Figure 1E.  These are indicated by appropriate fields in the Matlab structure.  For example, ONtransientSTA_Y contains the STA for the On transient cells, and STA_timeAx the corresponding time axis.

#### File: Figu...,