{"product_id":"pycontrol-gridmaze-ir-module","title":"pyControl GridMaze IR Module","description":"\u003c!-- split --\u003e\n\u003cp\u003eThe pyControl GridMaze is an open and modular behavioral testing system designed for experiments with freely moving rodents. Built around the open-source pyControl framework, the system enables automated execution of behavioral tasks with precise control of stimuli, rewards, and event timing. The GridMaze is particularly suited for studies involving spatial navigation, decision-making, and learning experiments. It can also be combined with external recording systems such as cameras or imaging setups.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEXPERIMENTAL CAPABILITIES\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp class=\"PDq2pG_selectionAnchorContainer\"\u003eThe \u003cstrong\u003epyControl GridMaze IR Module\u003c\/strong\u003e provides infrared illumination for video recording and camera-based animal tracking within the GridMaze. Mounted at an angle on the side of the maze, the module functions as an uplighter, distributing infrared light across the experimental area to support consistent recording with an IR-sensitive camera.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003e\u003cspan class=\"wixGuard\"\u003eKEY FEATURES\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eInfrared illumination module for pyControl GridMaze setups\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eContains five integrated 730 nm IR LEDs\u003c\/li\u003e\n\u003cli\u003eSupports video recording and camera-based animal tracking\u003c\/li\u003e\n\u003cli\u003eAngled mounting provides uplighting across the maze area\u003c\/li\u003e\n\u003cli\u003eSuitable for low-light and dark experimental conditions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIncludes a Molex cable for system integration\u003c\/li\u003e\n\u003cli\u003eSuitable as a replacement, spare, or build component for different GridMaze configurations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003eCONTENTS\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eIR Module PCB\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eMolex connection cable\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cstrong\u003eNot Included:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eIR-sensitive camera\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003ePUBLICATION\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eMohamady El-Gaby, Adam Loyd Harris, James C. R. Whittington, William Dorrell, Arya Bhomick, Mark E. Walton, Thomas Akam \u0026amp; Timothy E. J. Behrens (2024). A cellular basis for mapping behavioural structure. \u003ca href=\"https:\/\/www.nature.com\/articles\/s41586-024-08145-x\" title=\"Nature\" target=\"_blank\"\u003e\u003cem\u003eNature\u003c\/em\u003e\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003eMichael Pereira,  Beatriz S. Godinho,  Christian K. Machens,  Rui M. Costa, Thomas Akam (2026). Flexible route planning and rapid structure learning by mice in complex environments. \u003cem\u003e\u003ca href=\"https:\/\/www.biorxiv.org\/content\/10.64898\/2026.06.02.729586v1\" target=\"_blank\"\u003ebioRxiv\u003c\/a\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003ePeter T. Doohan,  Kristopher T. Jensen,  Yaqing Chen,  Beatriz S. Godinho,  Charles D. G. Burns, Chongyu (Xiao) Qin, Josie L. Emery, Ryan J. Cini,  Mark E. Walton,  Timothy E. J. Behrens,  Thomas E. Akam (2026). Structured and flexible representations in medial-frontal cortex support goal-directed navigation. \u003cem\u003e\u003ca href=\"https:\/\/www.biorxiv.org\/content\/10.64898\/2026.06.09.729603v1\" target=\"_blank\"\u003ebioRxiv\u003c\/a\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003eThomas Akam, Andy Lustig, James M Rowland, Sampath KT Kapanaiah, Joan Esteve-Agraz, Mariangela Panniello, Cristina Márquez, Michael M Kohl, Dennis Kätzel, Rui M Costa, Mark E Walton (2022). pyControl: Open source, Python-based hardware and software for controlling behavioural neuroscience experiments. \u003cem\u003e\u003ca href=\"https:\/\/doi.org\/10.7554\/eLife.67846\" target=\"_blank\"\u003eeLife\u003c\/a\u003e\u003c\/em\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" target=\"_blank\"\u003eDocumentation\u003c\/a\u003e \u003ca rel=\"noopener\" href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" target=\"_blank\"\u003eSource Code\u003c\/a\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Founding developer Thomas Akam","offers":[{"title":"Default Title","offer_id":53211951857931,"sku":"G890","price":99.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/pyControl_GridMaze_IR_Module.png?v=1786608988","url":"https:\/\/www.labmaker.org\/products\/pycontrol-gridmaze-ir-module","provider":"LABmaker","version":"1.0","type":"link"}