Advanced materials for neurotechnology and computing

Advancing 3D monolithic integration for next-generation neuromorphic computing architectures

neuromorphic engineering 3D integration memristors AI hardware parallel processing

Precision femtosecond laser ablation for non-invasive neural interface implantation

neurotechnology laser surgery brain-computer interfaces minimally invasive bioelectronics

Optimizing CRISPR-Cas12a gene editing for neurodegenerative disease therapies

CRISPR-Cas12a neurodegenerative diseases gene therapy off-target effects neuronal cells

For brain-computer interfaces: decoding neural signals during motor imagery tasks

brain-computer interfaces neural decoding motor imagery signal processing neurotechnology

Mechanochemical synthesis of transition metal dichalcogenides for flexible neuromorphic computing

TMDCs mechanochemistry neuromorphic devices flexible electronics memristors

Through proteostasis network modulation to delay neurodegenerative disease onset

proteostasis neurodegeneration protein aggregation therapeutic targets aging

Across axonal propagation delays in neuromorphic computing for biologically plausible AI

axonal delays neuromorphic computing biologically inspired AI signal propagation spiking neural networks

Using gate-all-around nanosheet transistors for ultra-low-power neuromorphic computing

neuromorphic engineering nanosheet FETs low-power electronics brain-inspired computing transistor design

For robotic tactile intelligence through neuromorphic haptic feedback systems

robotic touch neuromorphic engineering haptic feedback tactile sensors adaptive robotics

Optimizing viral vector engineering for targeted gene delivery in neurodegenerative diseases

viral vectors gene therapy neurodegenerative diseases capsid engineering blood-brain barrier

Targeting protein misfolding in neurodegenerative diseases with AI-driven molecular chaperones

protein folding molecular chaperones neurodegenerative disorders computational biology drug design

Using explainability through disentanglement in black-box neural network diagnostics

explainable AI neural networks model interpretability feature disentanglement machine learning diagnostics