Strategic Objectives
• Unlock the secrets of frequency-based neural communication.
• Understand how alpha, beta, and gamma rhythms shape cognition.
• Learn advanced spectral analysis techniques for population-level data.
• Bridge the gap between cellular activity and large-scale brain states.
The Core Challenge
Traditional neuroscience often overlooks the rich information hidden in rhythmic neural oscillations, focusing strictly on discrete spikes.
01
The Foundations of LFP
02
The Physics of Extracellular Fields
03
The Fourier Transform
04
Power Spectral Density
05
The Alpha Rhythm
06
Beta Oscillations
07
The Gamma Band
08
Theta Rhythms
09
Neural Synchrony
10
Phase-Amplitude Coupling
11
Spectrograms and Time-Frequency Analysis
12
The Hilbert Transform
13
Spike-Field Coherence
14
Filtering Techniques
15
Wavelet Analysis
16
Event-Related Potentials
17
Neural Decoding from LFPs
18
Brain-Computer Interfaces
19
Pathological Oscillations
20
Computational Modeling of LFPs
21