http://adelmanlab.org/easyNet/documentation/ 2026-04-07T10:12:44+00:00 http://adelmanlab.org/easyNet/documentation/ http://adelmanlab.org/easyNet/documentation/lib/tpl/dokuwiki/images/favicon.ico text/html 2016-04-10T09:24:19+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:bar_plot&rev=1460280259&do=diff Bar plots Introduction A bar plot is a useful way to get a quick visual summary of a table. easyNet offers the functionality of producing a bar plot from an existing table (dataframe). Using a simple menu, you can specify your table, the (numeric) dependent variables you want to plot (e.g. RT), and the combination of one or more independent (categorical) variables against which you want to classify your dependent variables (e.g. high/low word frequency). At the moment the only data aggregatio… text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:cetupmor&rev=1459255673&do=diff [Leverhulme] Part 3:Using *easyNet* to test current models Theoretical background Reversed interior strings Standard masked priming Sandwich masked priming text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:example1&rev=1459255673&do=diff easyNet demo Running a trial A single trial is sufficient to illustrate some of the complex nonlinear behaviour of the model. The default trial type associated with the IA model is a brief masked presentation of a letter string – these are the sorts of trials that McClelland and Rumelhart focussed on in their 1981 and 1982 papers. text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:example2&rev=1459255673&do=diff [Leverhulme] Demo Part 1:Using *easyNet* to explore the interactive activation (IA) model Loading the model Running a trial Specifying the output Looking at the output Modifying the plot settings The rich-get-richer effect Other factors affecting word layer activity The gang effect text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:ia_intro&rev=1459255673&do=diff [Leverhulme] Demo Part 1:Using *easyNet* to explore the interactive activation (IA) model Loading the model Running a trial Specifying the output Looking at the output Modifying the plot settings The rich-get-richer effect Other factors affecting word layer activity The gang effect text/html 2016-03-29T13:40:50+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:index&rev=1459258850&do=diff [Leverhulme] Welcome to easyNet These help pages will guide you through the easyNet interface and demonstrate some of the software's features. Please let us know what you think! Demo 1. Using easyNet to explore the interactive activation (IA) model 2. An initial look at the spatial coding model 3. Using *easyNet* to test current models text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:merge&rev=1459255673&do=diff Merging tables Introduction easyNet presents you data in form of tables, which are also called dataframes, this name reflecting the R software terminology. Both stimuli files (Stimuli tab in Method window), and results from running a set of trials ( text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page1&rev=1459255673&do=diff [Leverhulme] Loading the model Let’s start by taking a look at a classic computational model of visual word recognition – the interactive activation (IA) model introduced by McClelland and Rumelhart in 1981. To load the model choose Load model from the main menu: text/html 2016-03-29T12:50:30+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page2&rev=1459255830&do=diff easyNet demo Running a trial A single trial is sufficient to illustrate some of the complex nonlinear behaviour of the model. The default trial type associated with the IA model is a brief masked presentation of a letter string – these are the sorts of trials that McClelland and Rumelhart focussed on in their 1981 and 1982 papers. text/html 2016-03-29T12:51:38+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page3&rev=1459255898&do=diff easyNet demo Specifying the output Before we actually run the trial, let’s specify what sort of output we’d like to see. For this example, we are particularly interested in what effect this letter string will have at the word level. In order to monitor activities at that level, let’s create a plot. Right click anywhere on the word level and choose the pop-up menu option that says text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page4&rev=1459255673&do=diff easyNet demo Looking at the output To look at the output, click the Results tab that’s on the right at the bottom of the screen. You should see an activity plot that shows word node activity as a function of time. [mave_plot1] If you can’t see the plot, check that you are on the text/html 2016-03-29T12:52:25+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page5&rev=1459255945&do=diff easyNet demo Modifying the plot settings To modify the appearance of the plot, click on the plot settings icon at the top of the plot window. This brings up a form on the left which allows you to customise the settings used by the R script that creates the activity plot. text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page6&rev=1459255673&do=diff easyNet demo The rich-get-richer effect Let's return to the plot in which we ask for the five most active nodes (or equivalently in this case, set the activity threshold to 0.05). Not surprisingly, the five word nodes each represent words that are orthographic neighbours of the non-word text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page7&rev=1459255673&do=diff easyNet demo Other factors affecting word layer activity Differences in resting activities are not the sole reason for the ultimate differences in activities. To see this, let’s focus on the activity of two other word nodes: move and mate. To add these words to the activity plot, click on the text/html 2016-03-29T12:53:05+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:page8&rev=1459255985&do=diff easyNet demo The gang effect The explanation of the the difference between move and mate has to do with top-down feedback from the word layer to the letter layer. This feedback causes have node sends an excitatory signal to the H node in position one, the text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:run_set&rev=1459255673&do=diff Running a set of stimuli Procedure Once you have loaded a model and a trial , e.g. lexical decision (ldt), the natural thing to do is to feed some input stimuli to easyNet, which will simulate the execution of the selected trial using the current model for the stimuli you specify. Running a single stimulus is straightforward, you only need to type the inputs you want into the edit boxes on the control bar at the top of the text/html 2016-03-29T13:01:58+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_coding&rev=1459256518&do=diff [Leverhulme] Spatial coding In contrast to the interactive activation model, in which the letter layer is connected directly to the word layer, in the spatial coding model the letter layer sends inputs to the word layer via a spatial code layer. Spatial coding is a form of orthographic input coding in which a two-dimensional code is used to encode information about both letter position and the degree of evidence for that little. We can get a better idea of what the spatial code looks like by p… text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_intro&rev=1459255673&do=diff [Leverhulme] Part 2:An initial look at the spatial coding model Loading the model Spatial coding Plotting match values Orthographic neighbours in the spatial coding model Simulating TL priming Running a set of trials Merging dataframes Plotting means text/html 2016-03-29T12:53:29+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_load&rev=1459256009&do=diff [Leverhulme] Loading the model Previous simulations of the spatial coding model have used a vocabulary containing over 30,000 words. To save time in the present demo we'll load a subset of that vocabulary containing only four and five letter words. This model is called SCM__ text/html 2016-03-29T13:13:28+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_loadset&rev=1459257208&do=diff [Leverhulme] Loading a set of trials A stimulus set can be loaded via the main menu (alternatively, stimuli can be loaded directly from the Stimuli tab). [load stimulus set] To test whether the TL priming effect generalises to a larger set, let's load the stimulus set called Perea____ text/html 2016-03-29T13:11:22+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_match&rev=1459257082&do=diff [Leverhulme] Plotting match values A full account of how match values are calculated in the spatial coding model (based on a superposition match) is provided in Davis (2010). To investigate the model's match values we can plot the input to the word layer. Right click on that layer and select text/html 2016-03-29T13:13:45+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_merge&rev=1459257225&do=diff [Leverhulme] Merging dataframes Next: Plotting means text/html 2016-03-29T13:13:01+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_neigh&rev=1459257181&do=diff [Leverhulme] Orthographic neighbours in the spatial coding model Another way to visualise orthographic neighbourhoods in the model is to create a match plot. To do this, switch to the plot settings tab, and click on the green add button. This will bring up a dialog that asks you to specify a plot name (anything you like) and a plot type. For the latter, click the Browse button and choose the file called match_map.R.___ text/html 2016-03-29T13:13:51+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_plotmeans&rev=1459257231&do=diff [Leverhulme] Plotting means Next: Plotting means text/html 2016-03-29T12:47:53+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_runset&rev=1459255673&do=diff [Leverhulme] Running a set of trials Next: Merging dataframes text/html 2016-03-29T13:13:13+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:sc_tlpriming&rev=1459257193&do=diff [Leverhulme] Simulating TL priming Given that transposition neighbours are relatively similar in the spatial coding model, we might expect that the model should be able to capture transposed letter (TL) priming effects of the sort demonstrated by Perea and Lupker (2003) and many other researchers. Perea and Lupker found that lexical decisions to a target word like text/html 2016-03-29T12:35:29+00:00 http://adelmanlab.org/easyNet/documentation/doku.php?id=gui:start&rev=1459254929&do=diff [Leverhulme] Welcome to easyNet These help pages will guide you through the easyNet interface and demonstrate some of the software's features. Please let us know what you think! Demo 1. Using easyNet to explore the interactive activation (IA) model 2. An initial look at the spatial coding model 3. Using *easyNet* to test current models