Ratcave

Ratcave provides 3D graphics capabilities for Python-based cognitive psychology experiments, enabling loading, displaying, and manipulating 3D stimuli created in standard 3D modeling software.

Key Features:

• Python library: Implemented in Python to provide 3D graphics functionality for experimental use.
• Integration with existing stimulus libraries: Integrates with existing Python-based stimulus libraries to incorporate 3D graphics into experimental workflows.
• 3D primitives: Provides Mesh, Scene, Light, and Camera classes to represent and manipulate 3D stimuli.
• Model import and manipulation: Loads, displays, and allows manipulation of 3D models created in standard 3D modeling software.
• Hardware-accelerated rendering: Leverages modern OpenGL constructs for fast, hardware-accelerated dynamic stimulus rendering.

Scientific Applications:

• Cognitive psychology experiments: Enables presentation of 3D stimuli for studies of perception, attention, and memory.
• Dynamic visual stimulus generation: Supports experimental designs requiring hardware-accelerated, dynamic, and realistic visual presentations.
• Integration into experimental toolchains: Allows incorporation of 3D stimuli into existing Python experimental setups for a wide range of behavioral paradigms.

Methodology:

Implemented in Python and leveraging modern OpenGL constructs, Ratcave represents and renders 3D stimuli using Mesh, Scene, Light, and Camera abstractions.