YADLRetina: Yet Another Deep Learning Retina
summary
Models convolutional neural networks (CNNs) implemented in TensorFlow and Keras to predict spike-response patterns of mouse retinal ganglion cells (individuals and populations) to natural-noise visual stimuli. It frames training and evaluation using electrophysiological recordings and shows CNNs can effectively learn multilayer computations similar to retinal circuits.
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chapters (9)
- 0:00Introduction
- 1:09Motivation and problem
- 3:18What is the retina
- 7:31Visual neuroprosthetics
- 9:56Work objective
- 11:21Data and method
- 13:47Model architecture
- 18:02Main results
- 21:55Conclusion and future
