Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Explores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers the concept of sphere packing and its significance in time shifts and Nyquist criterion.
Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
