2013
DOI: 10.3758/s13428-013-0322-5
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PandaEPL: A library for programming spatial navigation experiments

Abstract: Recent advances in neuroimaging and neural recording techniques have enabled researchers to make significant progress in understanding the neural mechanisms underlying human spatial navigation. Because these techniques generally require participants to remain stationary, computer-generated virtual environments are used. We introduce PandaEPL, a programming library for the Python language designed to simplify the creation of computer-controlled spatial-navigation experiments. PandaEPL is built on top of Panda3D… Show more

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Cited by 15 publications
(12 citation statements)
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“…Subjects com-pleted slightly different versions of this paradigm, the details of which are described in the following paragraphs. These versions were programmed and displayed to subjects using the Panda Experiment Programming Library (Solway et al, 2013), which is a Python-based wrapper around the open-source game engine Panda3d (with 3D models created using Autodesk Maya) or the Unity Game Engine (Unity Technologies).…”
Section: Methodsmentioning
confidence: 99%
“…Subjects com-pleted slightly different versions of this paradigm, the details of which are described in the following paragraphs. These versions were programmed and displayed to subjects using the Panda Experiment Programming Library (Solway et al, 2013), which is a Python-based wrapper around the open-source game engine Panda3d (with 3D models created using Autodesk Maya) or the Unity Game Engine (Unity Technologies).…”
Section: Methodsmentioning
confidence: 99%
“…The virtual navigation task was programmed in the Panda Experiment Programming Library (PandaEPL [84]), an open-source programming library for Python, built on top of Panda3D, an open-source game engine. Participants navigated using arrow keys on the computer (Days 1-2) or MRI-compatible button box (Day 3).…”
Section: Virtual Environments and Navigation Interfacementioning
confidence: 99%
“…Task was coded using the publicly available programming library PandaEPL 64 . Analysis was performed in Matlab and spike sorting in Python using the publicly available software package Combinato 52 .…”
Section: Data Availabilitymentioning
confidence: 99%