MATLAB enables you to create natural language processing pipelines from data preparation to deployment. UsingDeep Learning Toolbox™orStatistics and Machine Learning Toolbox™withText Analytics Toolbox™, you can perform natural language processing on text data. By also usingAudio Toolbox™, you...
a, Responses of two neighbouring ON parasol cells to fixations with similar light intensity but either high (top) or low spatial contrast (SC) (bottom).b, Partial correlations for each cell type (mean ± 95% confidence interval), separating the pairwise correlations into contributions from...
I am fairly new here, so thank you in advance for your help. This is not a homework problem, just one of curiosity based on my limited knowledge of asymptotic expansions. I'm curious about how the function ln(x) or ln(1+x) behaves for large values of x. Plotting in Matlab, I see...
The temporal tuning of ON bipolar cell axons can be shaped by their morphology. In zebrafish and goldfish bipolar cells, smaller presynaptic terminals (i.e., boutons) prefer faster stimulus frequencies than larger boutons due to changes in the surface/volume ratio42. Yet the ROIs of XBC, which...
To achieve this, two long-term discomfort indexes were evaluated using Matlab data processing. Overall, this comprehensive modeling approach allows for an in-depth understanding of the impact of cross-ventilation on thermal comfort in the case study in order to assess the efficiency of NV in ...
Natural-Parameter Networks (NPN) in Matlab This is the code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'. It is a class of probabilistic neural networks that treat both weights and neurons as distributions rather than just points in high-dimensional sp...
the sequential part of the workload runs on the CPU, which is optimized for single-threaded. The compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers can program in popular languages such as C, C++, Fortran, Python and MATLAB....
In order to create a group map on the cortical surface, each subject’s data in volume space was transformed to surface space using nearest-neighbor interpolation, using the mrTools toolbox in Matlab113: each vertex was assigned the value of a single voxel, and multiple vertices could inherit...
Because the Kullback–Leibler divergence can never be less than zero, the variational free energy provides an upper bound on negative log evidence: equivalently, the negative free energy provides a lower bound on log evidence; known as an evidence lower bound (ELBO) in machine learning (Winn &...
Compared with MATLAB fsolve solver, the Broyden method only needs to calculate the Jacobian matrix and its inverse form in the first iteration step, so the calculation speed is relatively fast. On the other hand, for MATLAB fsolve solver, the Jacobian matrix is built by numerical approximation,...