Hui Ming Khoo

Abstract The development of algorithms to accurately decode neural information has long been a research focus in the field of neuroscience. Brain decoding typically involves training machine learning models to map neural data onto a preestablished vector representation of stimulus features. These vectors are usually derived from image- and/or text-based feature spaces.

Abstract Core features of human cognition highlight the importance of the capacity to focus on information distinct from events in the here and now, such as mind wandering. However, the brain mechanisms that underpin these self-generated states remain unclear. An emerging hypothesis is that self-generated states depend on the process of memory replay, which is linked to sharp-wave ripples (SWRs), which are transient high-frequency oscillations originating in the hippocampus.

Neurovascular compression syndromes, such as trigeminal neuralgia, hemifacial spasm, and glossopharyngeal neuralgia, are abnormal conditions that can substantially affect the quality of life of patients.1–3 Microvascular decompression (MVD) is an effective surgical treatment for drug-resistant cases.1–4 The overall success rate of MVD varies from 73% to 90%, and the most common complications include hearing loss, facial weakness or numbness, and cerebrospinal fluid leakage.3,5 However, the...