StdpC 2016 Release Candidate 2

Overview of changes from StdpC 2016-RC1

• StdpC's graphing system has been overhauled, so that you can (hopefully) see what their neuron models are doing without crashing. Graphs have moved from the main window to their own dialog, which you can access through the Config menu. Data is only plotted if the graph window is open when you press Start. There is some performance overhead, but it shouldn't be too large, so it may be feasible to display stuff during a live experiment.
• The graph window now has a display of the mean effective graph data sampling frequency. This means that, if you set the graph sampling interval to 0, you get a readout of the clamp cycle frequency. Obviously, you only get this readout while you're plotting something, not during a graph-free live session. It may be a useful benchmarking tool anyway, to gauge the clamp cycle frequency e.g. when lots of models are running.
• This version supports multiple data acquisition devices (DAQs). Rather than selecting a single DAQ, you can set up and use several devices simultaneously in the "Data sources" box. Input and output channels are now configured from within the DAQ settings, and are obviously distinct entities that belong to a given DAQ.
• Active electrode compensation is now an integral part of any analog input channel. You can access the calibration dialog through the channel setup.
• Models are now treated as data sources much like acquisition devices, and live in the same box. The interface for models has been somewhat streamlined. Also, models and model instances are now indexed starting from 0, consistent with analog channels, currents and synapses.