[Matlab-Based Book]Computational Modeling in Cognition

Computational Modeling in Cognition:

Principles and Practice

Written for students and researchers, this book provides a comprehensive introduction to the principles of computational and mathematical modeling in psychology and cognitive science. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other. Topics include models and theories in science, parameter estimation, and neural networks.

MATLAB is introduced and used to solve numerous examples in the book. In addition, a supplemental set of MATLAB code files is available for download.

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here？Stephan Lewandowsky, Simon Farrell-Computational Modeling in Cognition_ Pr.pdf (1.99 MB)

2016-3-21 10:04:41 上传

1. nDataPts = 20;
   
2. rho = .8;
   
3. intercept = .0;
   
4. 
   
5. %generate simulated data
   
6. data=zeros(nDataPts,2);
   
7. data(:,2) = randn (nDataPts,1) ; %*\label{line:3:gendata}*\%
   
8. data(:,1) = randn (nDataPts,1) .* sqrt(1.0-rho^2) + (data (:,2).*rho) + intercept;  %*\label{line:3:gencordat}*\%
   
9. 
   
10. %do conventional regression analysis and compute parameters
    
11. bigX = [ones(nDataPts,1) data(:,2)];       %*\label{line:3:setupX}*\%
    
12. y = data (:,1);
    
13. b = bigX\y              %*\label{line:3:compreg}*\%
    
14. 
    
15. %assign and display starting values and call parameter-estimation function
    
16. startParms = [-1., .2]  %*\label{line:3:svs}*\%
    
17. [finalParms,finDiscrepancy] = wrapper4fmin(startParms,data) %*\label{line:3:callwrapper}*\%

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1. function preds = getregpred (parms,data)
   
2. b1 = parms(1);
   
3. b0 = parms(2);
   
4. preds = b0 + (b1 .* data(:,2));   %*\label{line:3:grpcompute}*\%
   
5. 
   
6. %plot current predictions and data and wait for keypress
   
7. clf      
   
8. hold on  
   
9. plot (data(:,2),data(:,1), 'o', 'MarkerFaceColor',[0.4 0.4 0.4],'MarkerEdgeColor','black');
   
10. plot (data(:,2),preds, '-k');
    
11. axis([-2 2 -2 2]);
    
12. xlabel('X','FontSize',18,'FontWeight','b');
    
13. ylabel('Y','FontSize',18,'FontWeight','b');
    
14. set(gca,'Ytick',[-2:2],'Xtick',[-2:2])
    
15. box on
    
16. pause

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