strfpak.berkeley.edu
STRFPakSTRFPak STRF Estimation Software
http://strfpak.berkeley.edu/
STRFPak STRF Estimation Software
http://strfpak.berkeley.edu/
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STRFPak | strfpak.berkeley.edu Reviews
https://strfpak.berkeley.edu
STRFPak STRF Estimation Software
strfpak.berkeley.edu
STRFPak
http://strfpak.berkeley.edu/index.html
STRFPak is a Matlab toolbox for estimating the linear and nonlinear stimulus-response mapping function of sensory systems. This mapping function is commonly called the spatio- or spectro-temporal receptive field (STRF). A quantitative estimate of the STRF can be used in subsequent computational modeling studies or to predict future responses of the system. STRFPak implements several general STRF estimation techniques and can be used with any stimuli (including natural scenes and sounds).
STRFPak
http://strfpak.berkeley.edu/faq.html
STRFPak is a Matlab toolbox for estimating the spatio-temporal receptive fields (STRFs) of sensory neurons from their responses to arbitrary stimuli. It includes two different measures to quantify goodness of fit. The package includes a graphical user interface. How do I obtain STRFPak? The direct download links have been disabled temporarily while we switch to the new web site format. Please contact Frederic Theunissen. For access to the software. Is STRFPak free software? STRFPak is a Matlab toolbox.
STRFPak
http://strfpak.berkeley.edu/gal.html
This page is reserved for a STRF image gallery, more coming soon. For more, please click here. This project is supported by the NIH Human Brain Project:. Site v.2 11-11-05.
STRFPak
http://strfpak.berkeley.edu/ref.html
References on STRF estimation. Determining the receptive field of a neural filter, J. Neural Eng. I: 228-237. R Prenger, MCK Wu, SV David, JL Gallant (2004). Nonlinear V1 Responses to Natural Scenes Revealed by Neural Network Analysis", Neural Networks, 17, 663-679. SV David, WE Vinje, and JL Gallant (2004). Natural Stimulus Statistics Alter the Receptive Field Structurer of V1 Neurons", Journal of Neuroscience, 24(31):6991-7006. B Willmore and D Smyth (2003). Robust spectro-temporal reverse correlation ...
STRFPak
http://strfpak.berkeley.edu/dem.html
This tutorial is somewhat dated but it should give you a good feel for STRFPak. Note that STRFPak is implemented as a Matlab toolbox and includes an extensive GUI. To run the program at the MATLAB prompt type:. The following graphics window should be displayed. You can click the appropriate buttons to input the data files, estimate a STRF, predict a response and evaluate how well the STRF predicts responses. Get Input Files Window. And response file list. Set Calc. Parameter Window. The "Display Input Wi...
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The Neural Prediction Challenge
http://neuralprediction.berkeley.edu/con.php
The Challenge website and software were developed by the Gallant and Theunissen labs at UC Berkeley and David lab at Oregon Health and Science University. Challenge data sets have been generously provided by several neuroscience laboratories around the world. (Thank you so much for these data! If you have any questions about the web site or your account, please contact S. David (davids at ohsu dot edu). Logged in as Guest. The new web server is up! This project is supported by the NIH Human Brain Project.
The Neural Prediction Challenge
http://neuralprediction.berkeley.edu/index.php
The idea behind the neural prediction challenge. The aim of the Neural Prediction Challenge is to accelerate the development of predictive models and to provide computational neuroscientists an opportunity to test their models objectively. Please note that this is an academic research project, it is not a traditional contest. There is no real ending date, and there is nothing to win. To ensure that we will be able to give each entry serious consideration, the challenge will be limited to those working in...
Neural Prediction
http://neuralprediction.berkeley.edu/rul.php
The rules (such as they are):. 1 This is an academic research project, not a contest in the traditional sense. There are no prizes for the participants other than the satisfaction of having contributed to a very difficult scientific problem. 2 To ensure that we will be able to give each entry serious consideration, this contest will be limited to those working in computational neuroscience. For this reason these data will only be distributed to qualified personnel at academic and research institutions.
Neural Prediction
http://neuralprediction.berkeley.edu/faq.php
Please be sure to read the rules. Your questions might be answered there. Why should I register for the challenge? Guests (those who have not registered) can enter the site and observe the current results of the challenge, but they cannot download data or submit predicitons. These two functions can only be accessed by registered users. Why can't I have all of the data? Do I have to send you my model? How will I find out my prediction score, and will anyone else know? What is my nickname? Because most res...
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Starfinder
Sunday, March 1, 2009. Steve recently told me that my music lyrics (as read on my blogs) are kinda depressing! I think that if folks would listen to the songs (words and music), the true meaning would come through, actually a positive experience! Anyhow, heres' a more hopeful song that I dearly love. Somehow everything's gonna fall right into place. If we only had a way to make it all. If only time flew like a dove. We gotta make it fly faster than I'm falling in love. This time we're not giving up.
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Seasons To Remember
Saturday, September 14, 2013. Will H. Newborn Session. Handsome Mr. Will! Will's mom, GiGi, and Nana are all teachers. It was only appropriate to incorporate. A red apple and ABC blocks into the shoot! So handsome and lovable! Will's mom and GiGi are Art teachers! He looks so peaceful holding his own little paint brush. Sweet angel face boy. Thank you Katie and John for allowing me to capture these sweet memories of your precious little boy! You are incredibly blessed! Monday, June 24, 2013. It's been a ...
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STRFPak
STRFPak is a Matlab toolbox for estimating the linear and nonlinear stimulus-response mapping function of sensory systems. This mapping function is commonly called the spatio- or spectro-temporal receptive field (STRF). A quantitative estimate of the STRF can be used in subsequent computational modeling studies or to predict future responses of the system. STRFPak implements several general STRF estimation techniques and can be used with any stimuli (including natural scenes and sounds).
Störfrequenz
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