Across neural population dynamics during decision-making under uncertainty
computational neuroscience
decision theory
population coding
uncertainty resolution
prefrontal cortex
Manipulating quantum dot charge trapping through stellar evolution timescales for advanced computing
quantum dots
charge trapping
stellar evolution
neuromorphic computing
nanoscale physics
Through catastrophic forgetting mitigation, can artificial neural networks retain old tasks while learning new ones?
catastrophic forgetting
artificial neural networks
continual learning
AI memory retention
sequential training
In gut-brain axis modulation, what microbial metabolites directly influence neuroinflammation pathways?
gut-brain axis
microbial metabolites
neuroinflammation
microbiome
neurology
Employing silicon photonics co-integration for ultra-low-power brain-computer interfaces
silicon photonics
brain-computer interface
neural implants
optogenetics
neurotechnology
Decoding neural communication across axonal propagation delays in neurodegenerative diseases
axonal delays
neurodegeneration
neural signaling
brain disorders
electrophysiology
Femtosecond laser ablation for precision neural interface implantation in brain-computer systems
femtosecond lasers
neural interfaces
brain-computer systems
precision ablation
neurotechnology
For brain-computer interfaces at quantum coherence limits to enhance neural signal fidelity
brain-computer interfaces
quantum coherence
neural signals
noise reduction
neurotechnology
Developing biohybrid robots using electroactive polymer actuators and neural tissue
biohybrid robots
electroactive polymers
neural tissue engineering
soft robotics
adaptive systems
Interdisciplinary approaches to quantum dot-enhanced tactile prosthetics with 15-year ROI horizons
quantum dot prosthetics
tactile augmentation
interdisciplinary biomechanics
neurotechnology
long-term ROI
Using 2D material heterostructures for ultra-low-power brain-computer interfaces
graphene
MoS2
neuroprosthetics
van der Waals materials
neural recording
Optimizing neural network training with energy-efficient attention mechanisms on neuromorphic hardware
neuromorphic computing
attention mechanisms
energy efficiency
spiking neural networks
hardware acceleration