Abstract: In this paper, we propose a biologically plausible computational working memory (WM) model implemented using a spiking neuron model representing a predictable WM mechanism in a single neuron ...
Abstract: Electroencephalography (EEG) is a fundamental modality for cognitive state monitoring in brain-computer interfaces (BCIs). However, it is highly susceptible to intrinsic signal errors and ...
Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...