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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
This change is used as an output signal, so such structures work like artificial neurons in a neural network," said Alexey Kavokin. The architecture proposed by St. Petersburg State University ...
CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...
📖 Abstract This repository presents an empirical comparison of four distinct neural network architectures: two standard PyTorch implementations with traditional multilayer perceptron designs and two ...
To solve this, we perform probabilistic reasoning over the depth of neural networks. Different depths correspond to subnetworks which share weights and whose predictions are combined via ...
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