# Reading Club

## List of Reading Clubs

## The Elements of Statistical Learning Reading Club

00.The Elements of Statistical Learning Reading Club Introduction to reading club of The Elements of Statistical Learning, schedule, and notice 01.Introductions (Review) and Several Preliminary Statistical Methods Some basics of statistical learning; least squares and k nearest neighbors; statistical decision theory; local methods in high dimensions 02.Linear Methods for Regression Linear regression, least squares 03.Guass-Markov Theorem and Multiple Regression Gauss-Markov Theorem 04.Shrinkage Methods Shrinkage methods 05.Least Angle Regression Least angle regression, aka, LAR

## Spiking Neuron Models Reading Club

00.Spiking Neuron Models Reading Club Introduction to reading club of spiking neuron models, schedule, and notice 01.Neuron Biological Properties Neuron biological properties 02.Review of Last Week's Reading Review of Last Week’s Reading 03.Equilibrium Potential and Hodgkin-Huxley Model Equilibrium Potential and Hodgkin-Huxley Model 04.The Zoo of ion channels The Zoo of ion channels 05.Synapse and receptor Synapse and receptor 06.Cable Equation and Its Solutions Cable Equation and Its Solutions 07.Two dimensional neuron models Two dimensional neuron models 08.Integrate and Fire Models Part 1 Integrate and Fire Model Part 1 09.Escape Noise Escape Noise 09.Reduction of the Hodgkin-Huxley model type II Reduction of the Hodgkin-Huxley model ‘type II’ 10.Information Coding Information coding 11.Renewal Theory Renewal Theory 13.Comparison Between Neuron Models Comparison Between Neuron Models 14.Noise in Refractory Kernel and Diffusive Noise Slow Noise in parameters and diffusive noise (Part 1) 15.Diffusive Noise and The Subthreshold Regime Diffusive Noise and The subthreshold Regime 16.stochastic process stochastic process 17.Homogeneous Network Review of population activity; Homogeneous network. 18.SRM with Escape Noise SRM neurons with escape noise 19.Population Activity Integral equations for population activity 20.Basics of Renewal Theory from math to neuroscience 21.Asynchronous Firing Asynchronous firing of homogeneous network 22.interacting populations and continuum models network of networks and continuum network 23.Linearized Population Equation and Transients The population equation is quite complicated to solve, hence we linearize it and inspect the perturbation theory. 24. From individual neurons to collective bursting Predicting collective dynamics from individual neuron properties. 25. The Significance of Single Spike Single spike can have dramatic consequences on population activity. 27. Synchronized Oscillations and Locking Locking 28. Oscillations in Reverberating Loops Oscillations in reverberating loops can be simplified and researched. 29. Hebbian Learning Simplest learning rule, aka, correlation based learning 30. Learning Equations Unsupervised learning 31. Plasticity and Coding How is plasticity related to neuronal coding