Point process and state-space analysis


Lecture notes
Histogram Optimization | Kernel Optimization | Dynamic Interactions



STATE-SPACE METHOD
- 0 Introduction
- 1 Poisson process
- 2 Renewal / Non-Poisson
- 3 point process-GLM
- 4 Rate estimation
- 5 State-space
 
Links
- Histogram Optimization
- Kernel Optimization
- State-space analysis
- Point process
 
- HOME Page


Slides Lecture 0 Course introduction
  Lecture 1 A Poisson point process
  Lecture 2 Renewal and non-Poisson processes
  Lecture 3 Point process-GLM (Encoding)
  Lecture 4 Inference for a Poisson process: Spike-rate estimation
  Lecture 5 State-space model and a point process filter (Decoding)
  Lecture 6 Reviews of applications (Presentation by students)

 

 

Lecture 0: Course introduction

 

 

Lecture 1: A Poisson point process

 

 

Lecture 2: Renewal and non-Poisson processes

 

 

Lecture 3: Point process-GLM (Encoding)

 

 

Lecture 4: Inference for a Poisson process: Spike-rate estimation

 

 

Lecture 5: State-space model and a point process filter (Decoding)


 

 

 

 

Lectures

2017 Mar 4 Brain wakate

2016 Feb 10 Introduction to the point process network

A photo cited from the lecture page of Institute of Statistics and Mathematics. http://www.ism.ac.jp/lectures/27n.html

 

2013 Mar 3-12 Introduction to statistical models of neural spike train data [link]

Two-weeks course at the Institute for Research in Fundamental Sciences, School of Cognitive Sciences