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Computational and Mathematical Methods for Neuroscience

This reprint immerses readers in the latest advancements in the computational and mathematical modeling of neural systems, with a focus on brain functionality. It explores foundational principles, established models, and emerging technologies that are shaping the future of computational neuroscience...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2025
Matèries:
brain–machine interface
brain–computer interface
embodiment
sensorial feedback
Alzheimer’s disease
image processing
deep learning
transfer learning
classification
BCI
SSVEP
CNN
EEG
data augmentation
transfer-learning
parallelism
biomarker
laboratory
test
graphical statistics
mismatch negativity
somatosensory stimuli
cerebral palsy
cognitive enhancement
vigilance
inertial measurement units
psychomotor vigilance task
head micromovements
body posture
brain
magnetoencephalography (MEG)
network
hypergraph
coherence
visual perception
emotion recognition
complex network
ordinal patterns
tacrine
radiopharmaceuticals
molecular modeling
PET
SPECT
medical image-to-image translation
generative adversarial networks
dMRI data augmentation
macaque brain image
feature extraction
transformer
LeViT
hyperparameter tuning
model optimization
neuroimaging
neurodegenerative diseases
ionic channels
random process
psychometric function
geometric distribution
Gaussian distribution
threshold
exhausting exercise
maximal oxygen consumption
fatigue
central governor
endurance
cycling
diffusion tensor imaging
whole-brain tractography
biomarkers
neural networks
multilayer perceptron
compressed weight matrix
weight density
sparsity
stereoelectroencephalography
focal epilepsy
hyperventilation
brain dynamics
network analysis
phase transfer entropy
n/a
thema EDItEUR::M Medicine and Nursing
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Accés en línia:ONIX_20250812T110751_9783725834938_41
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