With phase-change material synapses in neuromorphic disaster prediction networks
memristors
climate modeling
edge computing
Marrying psychedelic research with neural decoding to map serotonin receptor plasticity
psychedelics
neuroimaging
serotonin receptors
brain plasticity
consciousness studies
Decoding neural correlates of psychedelic experiences using fMRI and machine learning
psychedelics
fMRI
neural decoding
machine learning
consciousness
Ferroelectric hafnium oxide for ultra-low-power neuromorphic computing
ferroelectric materials
neuromorphic computing
hafnium oxide
low-power electronics
AI hardware
Employing neuromorphic computing architectures for energy-efficient edge AI applications
neuromorphic engineering
edge computing
spiking neural networks
low-power AI
memristive devices
Using predictive motor coding to enhance brain-machine interface responsiveness in paralysis patients
neural decoding
motor prediction
neuroprosthetics
intention detection
closed-loop BMI
Modulating gut-brain axis communication with engineered probiotics for mental health
gut-brain axis
engineered probiotics
mental health
microbiome
neuroinflammation
Mitigating catastrophic forgetting in neural networks via dynamic memory allocation mechanisms
catastrophic forgetting
continual learning
neural networks
memory consolidation
adaptive algorithms
Through 2030 materials development for axonal propagation delays
neuroprosthetics
myelin mimetics
high-conductivity polymers
Targeting prion disease reversal through few-shot hypernetworks and synaptic vesicle recycling
prion disease
hypernetworks
synaptic recycling
neurodegeneration
AI modeling
Using magnetic skyrmion-based interconnects for ultra-dense neuromorphic computing architectures
magnetic skyrmions
neuromorphic computing
interconnects
nanoscale devices
energy-efficient computing
Bridging current and next-gen AI through neuromorphic computing with memristor-based architectures
neuromorphic computing
memristors
AI transition
brain-inspired systems
hybrid architectures