Precise control of neural activity using dynamically optimized electrical stimulation

Neural implants have the potential to restore lost sensory function by electrically evoking the complex naturalistic activity patterns of neural populations. However, it can be difficult to predict and control evoked neural responses to simultaneous multi-electrode stimulation due to nonlinearity of the responses. We present a solution to this problem and demonstrate its utility in the context of a bi-directional retinal implant for restoring vision. A dynamically optimized stimulation approach encodes incoming visual stimuli into a rapid, greedily chosen, temporally dithered and spatially multiplexed sequence of simple stimulation patterns. Stimuli are selected to optimize the reconstruction of the visual stimulus from the evoked responses. Temporal dithering exploits the slow time scales of downstream neural processing, and spatial multiplexing exploits the independence of responses generated by distant electrodes. The approach was evaluated using an experimental laboratory prototype ..., , , # Data from: Precise control of neural activity using dynamically optimized electrical stimulation

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We provide the code and data to reproduce figures from the paper.

## Description of the data and file structure

The folder contains:

1. Recorded cells, with their visual and electrical response properties.
2. Output of the greedy temporal dithering algorithm for static white noise images and natural scenes.
3. Scripts for generating the shown figures in the paper and the required utility functions.

Some empty folders in the repository store intermediate or final results of code execution.

To understand what the different data files contain, it is recommended to refer to scripts `figure2_3_6.m` and `figure7_video1.m`. Other matlab files (`analyse_used_electrodes.mat`, `assemble_nsem`, `compute_mse`, `get_cell_indices`, `getElectrodeCoords512`, `nums_from_ids`, `plot_rf_fit`, `rmatrix2`, `set_up_fig_or_axes`) are utility functions used in these scripts.

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### Data Files for `f...