Dynamic gating in multi-modular neural networks using random connectionsBurak, YoramRIGOTTI, MFusi, S
As shown in Fig.3, X is mapped to the feature map U through any given transformation, such as convolution. For the feature U, we first make a feature descriptor by a squeezing operation. Then an excitation operation is followed, which uses a simple self-gating mechanism, takes feature desc...
there are at least two other ways in which we might discriminate between relative-evidence and absolute-evidence models. Both of the final methods are based on a machine learning approach that uses deep neural networks to make inferences about generative models from the observable response time and...
Hyperbolic graph convolution is to learn a neighborhood feature for each vertex, including transforming vertex features on an m- dimensional Poincare´ ball by a M o¨bius layer [25], aggre- gating and activating neighborhood features, as shown in Fig. 3. This...
An example of the standard gating strategy for flow cytometry analysis. Cells are gated based on side scatter (SSC) and forward scatter (FSC). Single cells are then gated based on FSC-width (W) vs FSC-height (H) followed by gating live cells based on DAPI exclusion. Single, viable cells...
Wf denotes a convolutional filter for the feature, and Wg is the 12763 one for gating. Thus, gated convolution enables dynamic operation that is aware of saturation. We use the Y channel of each image as a mask to provide explicit but continuous...
Shear stress also plays a role in neural damage or apoptosis in the context of neurological disorders, such as spinal cord injury or Parkinson’s disease. Additionally, as neurons grow and move normally, inevitable interactions with surrounding tissue or other neurons subject them to shear stress....
Circadian gating of the cell cycle revealed in single cyanobacterial cells Science, 327 (2010), pp. 1522-1526 CrossrefView in ScopusGoogle Scholar Yde et al., 2011 P. Yde, B. Mengel, M.H. Jensen, S. Krishna, A. Trusina Modeling the NF-κB mediated inflammatory response predicts cytokine...
Neural mechanisms of dual-task interference and cognitive capacity limitation in the prefrontal cortex. Nat. Neurosci. 17, 601–611 (2014). CAS PubMed Google Scholar Watanabe, K. & Funahashi, S. Prefrontal delay-period activity reflects the decision process of a saccade direction during a free...
10kAccesses 209Altmetric Metrics Abstract To realize molecular-scale electrical operations beyond the von Neumann bottleneck, new types of multifunctional switches are needed that mimic self-learning or neuromorphic computing by dynamically toggling between multiple operations that depend on their past. Here...