The material in this post has been migraged with python implementations to my github pages website.
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
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...
In this study, we compared the activation patterns associated with tests of working memory, semantic memory and episodic memory. The results converged on a general involvement of four regions across memory tests. These were located in left frontopolar cortex, left mid-ventrolateral PFC, left mid-...
Distributions of angles in random packing on spheres J. Mach. Learn. Res. (2013) T. Chen et al. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems IEEE Trans. Neural Netw. (1995)View more references Cited...
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 ...
Overall, the contrast attention—eye movement yielded a spatial pattern of activation that was analogous to the one identified in the former two contrasts (attention—fixation, eye movement—fixation). This provides further evidence that a highly overlapping network of cortical regions was recruited, ...
Activation functions apply non-linarities to the outputs of neural networks. They have different shapes, and it is useful to be able to visualize the functions. I added the ability to visualize activation functions overFeedForwardLayerandConvolutional2DLayerby passing an argument as follows: ...
Neuroimaging studies of mentalizing (i.e., theory of mind) consistently implicate the default mode network (DMN). Nevertheless, the social cognitive functions of individual DMN regions remain unclear, perhaps due to limited spatiotemporal resolution in n
and important role in the pathogenesis of respiratory system diseases. However, in previous research, Smad5 was mainly used to broadly determine the activation of the BMP signaling pathway, and its own function has not been given much attention. It is worth noting that Smad5 has distinct ...