Advanced materials for neurotechnology and computing

Decoding neural population dynamics during circadian rhythm minima with high-density electrophysiology

neural dynamics circadian rhythms electrophysiology sleep regulation population coding

Modeling axonal propagation delays to improve brain-computer interface response times

axonal delays brain-computer interface neural engineering signal propagation real-time processing

In gut-brain axis modulation using engineered probiotics for Parkinson’s disease

gut-brain axis Parkinson’s disease engineered probiotics neuroinflammation microbiome therapy

Fusing Byzantine mathematics with quantum algorithms for secure distributed computing

Byzantine fault tolerance quantum cryptography distributed systems secure computation algorithmic resilience

Using topological insulators for spintronics-based neuromorphic computing architectures

topological insulators spintronics neuromorphic computing edge states non-volatile memory

Optimizing brain-computer interfaces through adaptive CNC toolpaths for neural signal precision

neural engineering CNC machining signal processing neuroprosthetics adaptive control

Through catastrophic forgetting mitigation in neuromorphic edge computing devices

neuromorphic computing continual learning edge AI memory consolidation spiking neural networks

Optimizing CRISPR-Cas12a gene editing for neurodegenerative disease therapy in non-dividing cells

CRISPR-Cas12a neurodegenerative diseases non-dividing cells gene therapy neuronal repair

Decoding neural spike patterns for real-time brain-computer interface control

brain-computer interface neural decoding spike patterns prosthetics machine learning

Optimizing deep brain stimulation parameters for treatment-resistant depression

neurostimulation mental health brain circuitry treatment resistance neuromodulation

Optimizing neural implant longevity through generative design for 50-year durability requirements

generative design neural implants longevity optimization biocompatible materials computational modeling

Scaling sparse mixture-of-experts models for multilingual NLP with dynamic computation routing

natural language processing AI efficiency MoE models computational linguistics transformer networks