neural networkMorse functionsIt is proved that a neural network with sigmoidal activation functions is a Morse function for almost all, with respect to the Lebesgue measure, sets of parameters (weights) in the
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
our goal is to determine when and where neural replay occurs in the brain. This involves indexing fast replay events through EEG and imaging replay-aligned brain-wide activation in fMRI. In brief, our analysis pipeline comprises five steps (Fig.2). First, we train neural decoding models for ...
Functional network Deactivation Gap-filler integration Center-embedding 1. Introduction Sentence processing involves combining the meanings of individual words to create a new meaning (Caplan et al., 1999). Early studies of the neural substrates underlying this language function have largely focused on ...
While the implication of the ERK pathway in hematopoiesis and immune activation is demonstrated, the function of each kinase remains elusive. To specifically address the role of Mek1 and Mek2 in lymphoid cell differentiation and function, and to circumvent the early embryonic lethality of Mek1 null...
on_realtime_transcription_update: A callback function that is triggered whenever there's an update in the real-time transcription. The function is called with the newly transcribed text as its argument. on_realtime_transcription_stabilized: A callback function that is triggered whenever there's ...
By company size Enterprises Small and medium teams Startups Nonprofits By use case DevSecOps DevOps CI/CD View all use cases By industry Healthcare Financial services Manufacturing Government View all industries View all solutions Resources Topics AI DevOps Security Software Development...
For our filter bank, we selected the "flattened" Gaussian41 basis function topology to balance the extraction of frequency bands of the EEG spectrum while maintaining an acceptable filter bank plateau value. In the filter bank, the ith filter (i = 1, …, K, where K is the total...
The softmax function here was the GM model and the weak classifier was the Gaussian function. The parameters of the algorithm are the same as described in the original study. In TRANS, learning-based filters are applied to original images and feature descriptors [37]. We follow settings in ...
A method for configuring hardware for implementing a Deep Neural Network (DNN) for performing an activation function, the hardware comprising, at an activation module for performing