Explores decision models in neuronal dynamics of cognition, covering competitive dynamics, perceptual decision making, and the theory of decision dynamics.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Introduces convolutional neural networks for image processing, covering basic components, architectures, and practical applications, including denoising and segmentation.
Explores DLP printing using continuous wave light for 3D printing and covers topics like resin parameters, radical chain polymerization, and photoinitiators.