Nonadiabatic holonomic quantum computation (NHQC) provides an essential way to construct robust and high-fidelity gates due its geometric features. However, NHQC is more sensitive decay dephasing errors than a conventional dynamical gate since it requires ancillary intermediate state. Here, we utilize the Hamiltonian reverse engineering technique study influence of intermediate-state decoherenc...

Selective suppression of transmission at feedback synapses during learning is proposed as a mechanism for combining associative feedback with self-organization of feedforward synapses. Experimental data demonstrates cholinergic suppression of synaptic transmission in layer I (feedback synapses), and a lack of suppression in layer IV (feedforward synapses). A network with this feature uses local...

In recent years, there has been an extensive interest in learning the dynamics of systems. For this purpose, a previous work proposed an algorithm that learns a logic program from interpretation transitions. However, both the run time and the memory space of this algorithm alike are exponential. In this paper, we propose a new version of this algorithm utilizing an efficient data structure base...

The ventral posterior parietal cortex (vPPC) monitors successful memory retrieval, yet its role during learning remains unclear. Indeed, increased vPPC activation during stimulus encoding is often negatively correlated with subsequent memory performance, suggesting that this region is suppressed during learning. Alternatively, the vPPC may engage in learning-related processes immediately after ...

The PFC plays a central role in our ability to learn arbitrary rules, such as "green means go." Previous experiments from our laboratory have used conditional association learning to show that slow, gradual changes in PFC neural activity mirror monkeys' slow acquisition of associations. These previous experiments required monkeys to repeatedly reverse the cue-saccade associations, an ability kn...

because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technologies. the eff...

exploiting multimodal information like acceleration and heart rate is a promising method to achieve human action recognition. a semi-supervised action recognition approach aucc (action understanding with combinational classifier) using the diversity of base classifiers to create a high-quality ensemble for multimodal human action recognition is proposed in this paper. furthermore, both labeled ...