Simple deep learning API for implementing neural nets written in Rust with Dense Layers, CSV and MNIST dataset types, L2 regularization and Adam Optimizer and common activation functions like Relu, Sigmoid, Softmax, Tanh. Only uses ndarray for linear algebra functionality Resources Readme License...
Previous work has identified characteristic neural signatures of value-based decision-making, including neural dynamics that closely resemble the ramping evidence accumulation process believed to underpin choice. Here we test whether these signatures of
These regions were engaged similarly across age groups, though contrasting timecourses of activation in left DLPFC suggest that children updated task rules more slowly than did adults. These findings support the idea that common networks can contribute to a variety of executive functions, and that ...
Previous work has identified characteristic neural signatures of value-based decision-making, including neural dynamics that closely resemble the ramping evidence accumulation process believed to underpin choice. Here we test whether these signatures of
The human brain forms functional networks of correlated activity, which have been linked with both cognitive and clinical outcomes. However, the genetic variants affecting brain function are largely unknown. Here, we used resting-state functional magneti
The ReLU layer is a nonlinear activation function layer, which adds nonlinear expression capabilities to the model. In addition to ReLU, the commonly used activation functions include sigmoid, Tanh, and LeakyReLU. Finally, the fully connected layer in the convolutional neural network converts the ...
11.3.2 Monitoring 11.3.3 Feed-Forward Nets 11.3.4 Recurrent Neural Nets 11.4 Lumps 11.4.1 Lump Base Class 11.4.2 Inputs 11.4.3 Weight Lump 11.4.4 Activations 11.4.5 Activation Functions 11.4.6 Losses 11.4.7 Stochasticity 11.4.8 Arithmetic 11.4.9 Operations for RNNs 11.5 Utilities12...
aSimilar to Fig.1a, but with activation of NAc ensemble.bLeft panel: the diagram for labeling c-Fos-positive cells with ChR2-mCherry. Right panel: Expression of ChR2-mCherry in NAc ensemble and the placement of optical fiber. Scale bar: top, 200 µm; bottom, 20 µm.c,dOpto...
C. Notch activation during endothelial cell network formation in vitro targets the basic HLH transcription factor HESR-1 and downregulates VEGFR-2/KDR expression. Microvasc. Res. 64, 372–383 (2002). CAS PubMed Google Scholar Compernolle, V. et al. Loss of HIF-2α and inhibition of VEGF...
We examined these questions by performing single-nuclear and single-cell RNA-Seq and ATAC-Seq in both developing and regenerating retinas. Here we show that injury induces MG to reprogram to a state similar to late-stage RPCs. However, there are major transcriptional differences between MGPCs ...