ePoster · Computational Neuroscience
Generalizing deep neural network model captures the functional organization of feature selective retinal ganglion cell axonal boutons in the superior colliculus
Mels Akhmetali, Yongrong Qiu, Na Zhou, Lisa Schmors, Andreas Tolias, Jacob Reimer, Katrin Franke, Fabian Sinz · Bernstein Conference 2024
Characterizing feature selectivities of sensory visual neurons is crucial for understanding how the brain forms representations of the external world. In vivo neurophysiological experiments aimed at identifying such tuning properties are constrained by time, making exhaustive searches in stimulus space infeasible. In recent years, deep neural networks (DNNs) have set new standards in predicting neuronal responses of the visual system to arbitrary stimuli, making in silico exploration of the stimulus-response space possible. As visual input is dynamic, there is a need for models that can faithf