Analysis of Neural Data

by Robert E. Kass, Uri T. Eden, and Emery N. Brown

Code (below) was contributed by Elan Cohen, Uri Eden, Rob Kass, Spencer Koerner, and Ryan Sieberg. New versions of code were created and/or edited by Spencer Koerner and Patrick Foley. This website was created by Patrick Foley.

Publisher's webpages:

Corrections to first printing:

R and Matlab resources:

Data:

Matlab and R code for original figures in book is available below



1 - Introduction

2 - Exploring Data

3 - Probability and Random Variables

4 - Random Vectors

5 - Important Probability Distributions

6 - Sequences of Random Variables

7 - Estimation and Uncertainty

8 - Estimation in Theory and in Practice

9 - Propagation of Uncertainty and the Bootstrap

10 - Models, Hypotheses, and Statistical Significance

11 - General Methods for Testing Hypotheses

12 - Linear Regression

13 - Analysis of Variance

14 - Generalized Linear and Nonlinear Regression

15 - Nonparametric Regression

16 - Bayesian Methods

17 - Multivariate Analysis

18 - Time Series

19 - Point Processes

1 - Introduction

Figure 1.4

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2 - Exploring Data

Figure 2.1

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Figure 2.2

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Figure 2.3

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3 - Probability and Random Variables

Figure 3.2

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Figure 3.3

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Figure 3.5

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Figure 3.6

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Figure 3.9

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Figure 3.11

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Figure 3.12

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Figure 3.13

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4 - Random Vectors

Figure 4.2

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Figure 4.3

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5 - Important Probability Distributions

Figure 5.3

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Figure 5.4

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Figure 5.6

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6 - Sequences of Random Variables

Figure 6.1

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7 - Estimation and Uncertainty

Figure 7.2

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Figure 7.3

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8 - Estimation in Theory and in Practice

Figure 8.2

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Figure 8.8

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Figure 8.9

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9 - Propagation of Uncertainty and the Bootstrap

Figure 9.1

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Figure 9.2

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10 - Models, Hypotheses, and Statistical Significance

Figure 10.1

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Figure 10.3

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11 - General Methods for Testing Hypotheses

12 - Linear Regression

Figure 12.2

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Figure 12.5

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Figure 12.6

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Figure 12.7

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13 - Analysis of Variance

14 - Generalized Linear and Nonlinear Regression

Figure 14.1

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Figure 14.4

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15 - Nonparametric Regression

Figure 15.2

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Figure 15.4

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Figure 15.6

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Figure 15.12

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16 - Bayesian Methods

17 - Multivariate Analysis

18 - Time Series

Figure 18.1

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Figure 18.1

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Figure 18.2

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Figure 18.3

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Figure 18.4

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Figure 18.5

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Figure 18.6

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Figure 18.7

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Figure 18.8

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Figure 18.11

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Figure 18.12

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Figure 18.13

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Figure 18.14

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Figure 18.15

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Figure 18.16

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19 - Point Processes

Figure 19.9

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