Emergent is feature-rich and open-source neural network simulator that enables users to create and analyze complex, sophisticated models of the brain in the world.
Emergent also supports the workflow of professional neural network researchers, with an emphasis on qualitative analysis and teaching.
The user interface allows users to quickly construct basic networks, modify the input/output patterns, automatically generate the basic programs required to train and test the network, and easily utilize several data processing and network analysis tools.
Detailed instructions on how to install and use the Emergent utility on your Mac are available HERE.
Emergent is cross-platform and it works on Mac OS X, Windows and Linux.
- ACT-R is much more fully-functional -- still has a few more things to be done, but it now supports the visual and motor modules, and more of its overall behavior has been tested and validated against the actr6 lisp implementation.
- You can drag-and-drop the columns and rows of a DataTable to reorder them.
- There are many new options on the DataTable context menus and the Column-level menus for commonly-used functions.
- DataTables now have (hidden) list of row numbers that are used in all access to the data, which enables much more efficient filtering, sorting, etc -- only this row number list needs to be sorted, for example, not all the raw data itself. All access of the data at all levels (even down to the low-level Matrix data that is used for storing each column worth of data) uses these row numbers to access the data, so you cannot tell that they are there, and all existing code works exactly the same as it did before (only faster!).
- There are however some important new functions...