Skip to search formSkip to main contentSkip to account menu

A Novel Deep Learning Denoising Algorithm for Neural Signal Recovery in fMRI Scanning

This research proposed a universal and robust denoising approach to address electromagnetic interference during simultaneous recording of neural signals and fMRI data, which will be relevant for understanding of neurovascular coupling and brain function.
Publisher (opens in a new tab)

Unveiling Mesoscale Finger-specific Neural Circuits through Near-infrared Stimulation and fMRI Mapping

Specific brain networks underlying single digit maps in SI will be relevant for understanding hand dexterity, neurorehabilitation, and prosthesis development, and will be relevant for understanding hand dexterity, neurorehabilitation and prosthesis development.
Publisher (opens in a new tab)

Comprehensive Assessment of Ischemic Stroke in Nonhuman Primates: Neuroimaging, Behavioral, and Serum Proteomic Analysis

A comprehensive exploration of ischemic stroke in nonhuman primates offers a comprehensive exploration of ischemic stroke, integrating neuroimaging data, behavioral outcomes, and serum proteomics to elucidate the complex interplay of factors involved in stroke pathophysiology.
PubMed (opens in a new tab)

Unveiling interactions of spatial-temporal information in tactile motion perception

The intricate interplay of spatial and temporal information in tactile-motion perception remains elusive. Despite strides in decoding neural signals for direction, speed and texture in tactile…
Publisher (opens in a new tab)
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)