Deep brain–machine interfaces: sensing and modulating the human deep brain

Y Sui, H Yu, C Zhang, Y Chen, C Jiang… - National Science …, 2022 - academic.oup.com
Different from conventional brain–machine interfaces that focus more on decoding the
cerebral cortex, deep brain–machine interfaces enable interactions between external …

[HTML][HTML] Connectomics of human electrophysiology

S Sadaghiani, MJ Brookes, S Baillet - NeuroImage, 2022 - Elsevier
We present both a scientific overview and conceptual positions concerning the challenges
and assets of electrophysiological measurements in the search for the nature and functions …

Network mechanisms of ongoing brain activity's influence on conscious visual perception

Y Wu, E Podvalny, M Levinson, BJ He - Nature Communications, 2024 - nature.com
Sensory inputs enter a constantly active brain, whose state is always changing from one
moment to the next. Currently, little is known about how ongoing, spontaneous brain activity …

Spontaneous perception: A framework for task-free, self-paced perception

S Baror, BJ He - Neuroscience of Consciousness, 2021 - academic.oup.com
Flipping through social media feeds, viewing exhibitions in a museum, or walking through
the botanical gardens, people consistently choose to engage with and disengage from …

[HTML][HTML] Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks

Y Li, H Yang, S Gu - Science Bulletin, 2024 - Elsevier
Cognitive neuroscience aims to develop computational models that can accurately predict
and explain neural responses to sensory inputs in the cortex. Recent studies attempt to …

Interacting ventral temporal gradients of timescales and functional connectivity and their relationships to visual behavior

MJ Boring, RM Richardson, AS Ghuman - Iscience, 2024 - cell.com
Cortical gradients in endogenous and stimulus-evoked neurodynamic timescales, and long-
range cortical interactions, provide organizational constraints to the brain and influence …

Upgrading Voxel-wise Encoding Model via Integrated Integration over Features and Brain Networks

Y Li, H Yang, S Gu - BioRxiv, 2022 - biorxiv.org
A central goal of cognitive neuroscience is to build computational models that predict and
explain neural responses to sensory inputs in the cortex. Recent studies attempt to borrow …

Phase-dependent stimulation response is shaped by the brain's transient collective dynamics

S Benitez Stulz, B Gutkin, M Gilson, D Battaglia - bioRxiv, 2023 - biorxiv.org
Exogenous stimulation is a promising tool for investigating and altering cognitive processes
in the brain, with potential clinical applications. Following experimental observations, we …

Spontaneous network transitions predict somatosensory perception

A Sharma, J Lange, D Vidaurre, E Florin - bioRxiv, 2023 - biorxiv.org
Sensory perception is essential for transforming incoming information in the brain into
targeted behavior. Thus, variations in our perceptions are ubiquitously associated with …

[PDF][PDF] Novel Dual CAFs and Cancer Cell Targeting Nano-Drug Delivery System for Anti-Fibrosis Mechanism of Liver Cancer

C Guo, X Hou, X Liu, C Sun, D Chen, M Kong - 2021 - scholar.archive.org
This study proposed the construction of a delivery system based on dual targeting cancer-
associated broblasts (CAFs) and tumor cell for the treatment of liver cancer.(Z-Glycine …