In the context of today’s rapid advancement in science and technology, immunotherapy with natural killer (NK) cells has attracted widespread attention in the scientific community for their potential advantages in combating tumors and viral infections. Especially, the discovery of memory-like NK cells has brought new hope for NK cells as an anticanc...
Academic report: brainlife.io: A decentralized and open-source cloud platform supporting neuroscience research Background and Motivation Neuroscience research is rapidly developing, and the advancement of data standardization, management, and processing tools has made research more rigorous and transparent. However, this also brings about complex d...
Research Report on Multi-sensory Flicker Regulating Extensive Brain Networks and Reducing Interictal Epileptiform Discharges Background Introduction In treating neurological disorders, modulating brain oscillations has great potential. Non-invasive interventions, suitable for everyday use at home, have become the focus of the scientific community, ...
Academic News Report on Multidimensional Cross-Frequency Coupling Analysis in EEG/MEG Data In recent years, with the advancement of neuroscience and medical imaging technology, researchers’ exploration of brain functional connectivity has become increasingly in-depth. This report will introduce a scientific research paper on multi-dimensional cross...
Long-baseline Quantum Sensor Network as a Dark Matter Haloscope Academic Background Ultralight dark photons, as one of the significant candidates for dark matter, have attracted extensive theoretical and experimental attention. According to the kinetic mixing mechanism, when dark photons couple with standard model photons, coherent electromagnetic ...
Scientific Report Background Introduction Perception and neuronal processing of sensory information are largely influenced by prior expectations. Perception is not merely passive reception, but an active inferential process by combining existing sensory information with prior information based on past experience and current context. The combination...
Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...
Deep Learning Model Reveals Mechanisms of Semantic Satiation Semantic satiation, the phenomenon where a word or phrase loses its meaning after being repeated many times, is a well-known psychological phenomenon. However, the micro-neural computational principles underlying this mechanism remain unknown. This paper uses a continuous coupled neural n...
Electrophysiological Signatures of Veridical Head Direction in Humans Navigation is one of the core components of human complex cognition, where head direction information is crucial for positioning oneself in space. However, due to the requirement of having the head fixed in a specific position during most neuroimaging experiments, understanding h...
Brain Mechanism Study on Emotion Processing Bias in Patients with Highly Treatment-Resistant Depression Background Introduction Depression is one of the mental diseases prevalent in modern society that severely affect individuals’ physical and mental health. According to Beck’s cognitive model, the development and maintenance of depression are larg...