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PatchLSD_v1.0.0
Patch-LSD: v1.0.0
Unity implementation of Marco Wittman's Patch Foraging Task.
A reinforcement learning foraging task developed to elucidate switching behaviour (Leave Stay Decisions) as a function of time linked reward rates. Includes an EEG stream via LSL on device builds.
Intended to be a portable-ish OS/ device agnostic version of this task; to allow diverse teams (clinical, academic) to collect data easily.
Builds tested on for webGL, Mac, Windows & Linux (the EEG LSL stream has only been tested on Windows, and as of this release, iOS/android not tested).
Click here to play online.
Copyright © 2025 Isla Barnard. Licensed under the MIT License.