Optimizing neurotransmitter release events through affordance-based manipulation in synaptic models
synaptic transmission
affordance theory
computational neuroscience
vesicle fusion
neural interfaces
Enhancing neural network efficiency with dynamic token routing in neuromorphic computing
neuromorphic computing
dynamic routing
energy efficiency
neural networks
token-based processing
Fusing Byzantine mathematics with quantum algorithms for optimized error correction codes
quantum computing
Byzantine algebra
error correction
QEC
historical mathematics
Through catastrophic forgetting mitigation in lifelong learning neural networks
catastrophic forgetting
lifelong learning
neural networks
memory retention
incremental training
Phase-change material synapses for neuromorphic drones employing self-supervised curriculum learning
neuromorphic computing
phase-change materials
drones
curriculum learning
autonomous navigation
Optimizing neural decoding algorithms for non-invasive brain-computer interfaces using EEG
EEG
neural decoding
brain-computer interfaces
signal processing
non-invasive
Harnessing Josephson junction dynamics for ultra-low-power superconducting neuromorphic computing
Josephson junctions
neuromorphic computing
superconductivity
quantum phenomena
low-power electronics
Probing neural population dynamics during decision-making with ultra-dense microelectrode arrays
neurophysiology
decision-making
microelectrodes
neural ensembles
cortex mapping
Designing brain-computer interfaces for paralysis rehabilitation using optogenetic neural dust particles
brain-computer interface
optogenetics
neural dust
motor rehabilitation
wireless sensors
Breakthroughs in Alzheimer's treatment via century-long clinical trials and multi-omics integration
Alzheimer's disease
century-long trials
multi-omics
neurodegenerative treatments
clinical research
Marrying psychedelic research with neural decoding to map consciousness pathways
Psychedelic research
neural decoding
consciousness mapping
mental health therapy
brain networks
Mitigating catastrophic forgetting in neural networks through dynamic architecture expansion
catastrophic forgetting
neural networks
dynamic architecture
continual learning
AI stability