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Signal & Data Analysis in Neuroscience (27-505) - Recitation

 

Second semester, 2024

Zoom room- link

Important links:

Recitation instructions and gradings- link

Projects and Recitation Quizzes grades - link

Youtube channel- link

Recitations

Self learning: Statistics and probability rehearsal- notes, quiz

Lesson 1, 8.5: Signal sampling, firing rate, convolution, SNR and stochastic processes- notes, quiz
Lesson 2, 15.5: Tuning curves, stochastic processes, Poisson processes- notes, quiz
Lesson 3, 22.5: Single and Multiple point processes- notes, quiz

Previous years hebrew recordings:

1. Signal sampling, firing rate, convolution, SNR and stochastic processes- recording (2023),recording (2022)

2. Tuning curves, Stochastic processes, Point process- recording (2023),recording (2022)

3. Single and Multiple point processes- recording (2023),recording (2022)

4. PSTH, STA, linear kernels and GLM- recording (2023)recording (2022)

5. ROC and quiz preparation- recording (2023)recording (2022)

6. decoding, population vector and estimators - recording (2023)recording (2022)

7. optimization - recording (2023)recording (2022)

8. information theory- recording (2023), recording (2022)

9. dimensionality redution (PCA and ICA)- recording (2023), recording (2022)

10. clustering- recording (2022)

11. frequency domain I: Nyquist, fourier transform- recording (2022)

12. frequency domain II: Systems, filters- recording (2022)

13. frequency domain III: Spectral analysis- recording (2022)

14. frequency domain IV: Wavelets- recording (2020)

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