Computational neuroscience relies on complex mathematical models to simulate brain activity and decipher underlying biological processes.However, these simulations are computationally intensive, prompting the exploration of high-performance computing systems as a viable solution to enhance efficiency.In this work, we introduce SimHH, an extended-Ho
Deep Neural Networks (DNNs) have been widely adopted in several advanced artificial intelligence applications due to their competitive accuracy to the human brain.Nevertheless, the superior accuracy of a DNN is achieved at the expense of intensive computations and storage complexity, requiring custom expandable hardware, i.e., graphics processing u
In order to improve the adaptive capacity of the robot in a complex environment,solving the problems of the posture adjustments and roll and right itself of the hopping robot,a kind of flexible wheeled hopping robot which adopts flexible wheel train mechanism and the multi-chain hopping mechanisms with the ability of hopping,posture adjustments and
BackgroundNeurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels.Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite Placemats perceived high burden.Methods and findingsWe assessed 3,96