Advanced materials for neurotechnology and computing

Investigating synaptic vesicle recycling dynamics during high-frequency neuronal firing

synaptic plasticity vesicle endocytosis neurotransmission presynaptic terminals exocytosis

Applying computational retrosynthesis to discover novel psychedelic derivative compounds

drug discovery psychoactive substances cheminformatics molecular design enzymatic synthesis

Optimizing brain-computer interfaces for real-time emotion decoding via neural oscillations

brain-computer interface neural oscillations emotion recognition EEG machine learning

Using carbon nanotube vias in 3D-printed neural implants for enhanced biocompatibility

carbon nanotubes neural implants 3D printing biocompatibility brain-machine interfaces

Enhancing sparse mixture-of-experts models via self-supervised curriculum learning

machine learning neural networks curriculum learning model sparsity adaptive training

Targeting prion protein misfolding with CRISPR-based gene editing therapies

prion diseases CRISPR therapy protein misfolding neurodegeneration gene editing

Bridging synaptic time delays with neuromorphic computing for brain-machine interfaces

neuromorphic engineering brain-machine interface synaptic delay neural prosthetics real-time processing

Combining lattice cryptography with enzyme-based molecular computing for secure data storage

post-quantum cryptography DNA computing enzyme kinetics molecular logic gates cryptographic protocols

Across synaptic time delays in neural networks for improved brain-computer interfaces

synaptic delays neural networks brain-computer interfaces signal processing neurotechnology

At terahertz oscillation frequencies in next-generation wireless brain-computer interfaces

neurotechnology THz waves implantable devices neural decoding biocompatible antennas

Via multimodal fusion architectures for early detection of neurodegenerative diseases

multimodal learning neurodegenerative diseases early diagnosis data fusion biomarker discovery

Enhancing few-shot learning through hypernetworks for rapid model adaptation in robotics

hypernetworks few-shot learning robotics model adaptation meta-learning