Neural DSP’s new Nano Cortex update introduces a Tap Tempo mode and other “highly requested” enhancements
Neural DSP has launched a brand-new update, NanOS 2.1.0, for its Nano Cortex mini amp modeller.
The game-changing brand has introduced this new update rather swiftly after the last upgrade, which arrived back in April this year and introduced a customisable signal chain, 47 new effects and utilities, plus new workflow tools. Stepping things up once again, this update ticks off a list of more highly-requested features.
READ MORE: “We were not expecting that amount of hatred”: Neural DSP founders break silence over Nano Cortex teaser videos, “we thought they were quite fun”
NanOS 2.1.0 brings a plethora of new enhancements, including Incoming MIDI CC, Tap Tempo, IR Loader Bypass for a specific output, MIDI Thru, and other improvements for better usability and performance.
Tap Tempo is a welcomed feature, and can now be accessed by holding Footswitch I to enter the Tap Tempo mode. The LED will blink at the current tempo, and you can set the tempo you want by simply pressing the footswitch. You can exit the mode by pressing Footswitch II, and you can even operate it through the Cortex Cloud app too.
Also, Nano Cortex can now receive MIDI CC messages for bypassing individual device slots, controlling the expression pedal position, Tap Tempo, and Tuner On/Off. Users can also mute the direct monitoring path of an analogue input, “essential for re-amping workflows to hear only the processed signal from your DAW”, and mute analogue outputs to prevent signal doubling when monitoring within the DAW.
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As well as all these newbies, the update brings some bug fixes too. Critical issues that could cause Nano Cortex to crash or freeze, particularly when downloading a Neural Capture or when left idle for an extended period, have been resolved. A bug that would result in no audio passing through the Nano Cortex if a preset was loaded that used a deleted Neural Capture is also fixed.
To view the full list of new features and fixes, head over to Neural DSP.
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