MULTIMODAL CLOSED-LOOP BRAIN-COMPUTER INTERFACE AND PERIPHERAL STIMULATION FOR NEURO-REHABILITATIONBrain impairment, for example due to stroke, is corrected in order to improve body movement. An fNIRS device is positioned over the motor cortex of non-impaired individuals, and blood oxygen in locations...
spatial and temporal resolution and cover a wider frequency band than EEG devices4. ECoG devices have a strong track record in clinical applications, especially in epilepsy surgery5,6, and have also been demonstrated to control brain–computer interfaces7. The spatial information related to brain si...
Unity is a popular game engine that is widely used for creating 2D and 3D games. It has a built-in AI system that allows developers to create intelligent agents that can navigate and interact with the game world. By incorporating multimodal communication capabilities into these agents, developers...
touch and taste. Vision is the most important channel for receiving information and the source of creativity. On the road of promoting the development of artificial intelligence, computer vision has become an important research field, especially the frequent emergence of visual creation applications in ...
2D modality that also inevitably introduces distortions in the tissue during blocking and sectioning. MRI does not yield microscopic resolution, but produces undistorted 3D volumes. Therefore, the combination of these two modalities offers a solution to the problem of imaging the human brain at high ...
Figure S6. Example using a mouse brain dataset (10× technology). Figure S7. Analysis of spatial ATAC-seq experiment. Figure S8. Spatial analysis of lung tissue by CoxMx technology. Table S1. Spatial transcriptomics softwares comparison Supplementary discussion and references: Memory footprint, ...
in 2D arrayed pixels containing spatial information. Spatial metabolomics techniques such as targeted approaches using antibodies (metaFISH) or untargeted using matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) hold promise for mapping the spatial context of metabolic species ...
A new method for multimodal sensor fusion is introduced. The technique relies on a two-stage process. In the first stage, a multimodal generative model is constructed from unlabelled training data. In the second stage, the generative model serves as a re
Light-sheet fluorescence microscopy (LSFM) has become an important tool for biological and biomedical research. Although several illumination and detection strategies have been developed, the sample mounting still represents a cumbersome procedure as thi
(QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF418, Ultra Code, UCC RSS-2D barcode, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication ...