Motor Decision-Making under Uncertainty and Time Pressure

Research on Motor Decision-Making under Uncertainty and Time Pressure Academic Background In daily life, animals and humans often need to choose the most appropriate action from multiple possible options. However, how to plan and execute these actions under conditions of goal uncertainty and time pressure remains an incomplete question in neuroscie...

5-HT7R Enhances Neuroimmune Resilience and Alleviates Meningitis by Promoting CCR5 Ubiquitination

5-HT7R Enhances Neuroimmune Resilience and Alleviates Meningitis by Promoting CCR5 Ubiquitination Academic Background Bacterial meningitis is a rapidly onset, highly fatal disease with epidemic potential, especially when caused by Streptococcus pneumoniae (S.p.) infection. The destruction of the blood-brain barrier (BBB) leads to the release of inf...

Modular Brain-Machine Interface for Neurorecording, Neurostimulation, and Drug Delivery

Modular Brain-Machine Interface for Neurorecording, Neurostimulation, and Drug Delivery

Modular Brain-Machine Interface: Innovative Breakthrough in Neurorecording, Neurostimulation, and Drug Delivery Academic Background Brain-Machine Interfaces (BMIs) are crucial tools in neuroscience and clinical medicine, enabling interactions between the brain and the external world through charge, matter, and information exchange. They are widely ...

Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems

Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems Academic Background Glioblastoma (GBM) is the most common and aggressive type of brain cancer, with an extremely poor prognosis and a five-year survival rate of less than 10%. Despite decades of extensive research in drug therapy, radiation therapy, ...

A Spatiotemporal Style Transfer Algorithm for Dynamic Visual Stimulus Generation

Research Report on the Spatiotemporal Style Transfer Algorithm for Dynamic Visual Stimulus Generation Academic Background The encoding and processing of visual information has been a significant focus in the fields of neuroscience and vision science. With the rapid development of deep learning techniques, investigating the similarities between arti...

A Simulated Annealing Algorithm for Randomizing Weighted Networks

Research on Weighted Network Randomization Based on Simulated Annealing Algorithm Background Introduction In the field of neuroscience, connectomics is an important branch for studying the structure and function of brain neural networks. With the development of modern imaging technologies, researchers are able to acquire a wealth of biologically me...