{"product_id":"pycontrol-gridmaze-tower-assembly","title":"pyControl GridMaze Tower Assembly","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\u003eThe \u003cstrong\u003epyControl GridMaze Tower Assembly\u003c\/strong\u003e is an assembled tower package for building, replacing, maintaining, or expanding active tower positions within a GridMaze setup.\u003c\/p\u003e\n\u003cp\u003eEach assembly provides the mechanical tower, walkway components, interaction electronics, reward-delivery hardware, and mounting parts required for one tower-based interaction point.\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\u003eModular tower assembly for pyControl GridMaze setups\u003c\/li\u003e\n\u003cli\u003eProvides one active interaction point within the maze structure\u003c\/li\u003e\n\u003cli\u003eSupports nose-poke based behavioral interaction\u003c\/li\u003e\n\u003cli\u003eEnables location-specific cue and reward delivery\u003c\/li\u003e\n\u003cli\u003eSuitable for replacement, maintenance, or expansion of 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\u003eMaze-poke PCB \/ tower interaction electronics\u003c\/li\u003e\n\u003cli\u003eTower mechanical parts, including acrylic, HIPS, and PETG components\u003c\/li\u003e\n\u003cli\u003eWalkway mechanical parts, including base and side panels\u003c\/li\u003e\n\u003cli\u003eFrosted acrylic diffuser rod\u003c\/li\u003e\n\u003cli\u003eReward-delivery components, including solenoid, reward tube, PVC tubing, and tubing adaptor\u003c\/li\u003e\n\u003cli\u003eRequired mounting hardware, including screws, nuts, and spacers\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":53211083669771,"sku":"G860","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/pyControl_GridMaze_Tower_Assembly-1.png?v=1786619521","url":"https:\/\/www.labmaker.org\/products\/pycontrol-gridmaze-tower-assembly","provider":"LABmaker","version":"1.0","type":"link"}