{"title":"pyControl GridMaze","description":"","products":[{"product_id":"pycontrol-gridmaze","title":"pyControl GridMaze","description":"\u003c!-- split --\u003e\n\u003cp\u003eThe pyControl GridMaze is an open and modular behavioral testing system designed for experiments with freely moving rodents. Its unique design of removable bridges allows rapid reconfiguration of the spatial maze layout. R\u003cspan\u003eemovable bridge modules define the interconnections between towers and enable rapid reconfiguration of the maze’s spatial layout. \u003c\/span\u003eBuilt 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 cognitive flexibility. It can also be combined with external recording systems such as imaging setups or cameras.\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEXPERIMENTAL CAPABILITIES\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe system is a modular maze of a 3x3 platform grid. Towers are connected with removable bridges. Tower components allow visual and acoustic cue presentation, and liquid reward delivery. The combination of the mechanical structure, integrated sensors and actuators, and pyControl-based electronics provides a flexible framework for automated behavioral experiments.\u003c\/p\u003e\n\u003cp\u003eThe GridMaze can be used for:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSpatial navigation tasks\u003c\/li\u003e\n\u003cli\u003eCognitive flexibility\u003c\/li\u003e\n\u003cli\u003eLearning and memory experiments\u003c\/li\u003e\n\u003cli\u003eReward-based behavioral paradigms\u003c\/li\u003e\n\u003cli\u003eSensory cue-based decision tasks\u003c\/li\u003e\n\u003cli\u003eExperiments synchronized with external recording systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\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\u003eFully assembled 3×3 GridMaze system for freely moving rodents\u003c\/li\u003e\n\u003cli\u003eNine integrated behavioral platforms\u003c\/li\u003e\n\u003cli\u003eAutomated detection of nose-pokes\u003c\/li\u003e\n\u003cli\u003eIntegrated visual and auditory cue presentation\u003c\/li\u003e\n\u003cli\u003eFluid reward delivery using a central valve-controlled system\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFlexible task programming and adaptation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eModular structure for behavioral neuroscience experiments\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\u003eGridMaze structural frame with light-tight enclosure\u003c\/li\u003e\n\u003cli\u003e3×3 grid of integrated behavioral platforms, each including:\u003cbr\u003e • IR nose-poke detector\u003cbr\u003e • LED with diffuser (visual cue)\u003cbr\u003e • Audio buzzer (acoustic cue)\u003cbr\u003e • Fluid reward delivery (central valve-controlled system)\u003c\/li\u003e\n\u003cli\u003epyControl controller with extension boards\u003c\/li\u003e\n\u003cli\u003eCabling (RJ45-based distribution)\u003c\/li\u003e\n\u003cli\u003eOverhead camera mount with IR illumination\u003c\/li\u003e\n\u003cli\u003ePower supply and cables included\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\u003eCamera\u003c\/li\u003e\n\u003cli\u003eCamera assembly components\u003c\/li\u003e\n\u003cli\u003eComputer or external recording system, unless specified separately\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\" rel=\"noopener\" 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 rel=\"noopener\" 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 rel=\"noopener\" 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\" rel=\"noopener\" target=\"_blank\"\u003eeLife\u003c\/a\u003e\u003c\/em\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" rel=\"noopener\" target=\"_blank\"\u003eDocumentation\u003c\/a\u003e \u003ca href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" rel=\"noopener\" 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":53093786190091,"sku":"G850","price":8990.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/GridMAZE_4.png?v=1782918964"},{"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"},{"product_id":"pycontrol-gridmaze-maze-hub-board","title":"pyControl GridMaze Hub Board","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 Hub Board\u003c\/strong\u003e is the central control interface for the pyControl GridMaze electronic architecture. It connects the pyboard microcontroller to the expander boards (with 8 tower ports each), enabling coordinated control of multiple tower-based interaction modules.\u003c\/p\u003e\n\u003cp\u003eThis component is intended for building, replacing, or maintaining the main electronic control layer of a GridMaze setup and supports scalable configurations through connection to multiple expander boards.\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\u003eCentral control interface for GridMaze electronics\u003c\/li\u003e\n\u003cli\u003eConnects the pyboard microcontroller to maze expander boards\u003c\/li\u003e\n\u003cli\u003eSupports scalable configurations through multiple expander-board connections\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eEnables coordinated control of multiple tower interaction points\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eSuitable for replacement, maintenance, or new system builds\u003c\/span\u003e\u003cbr\u003e\n\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\n\u003cspan\u003eMaze Hub PCB with \u003c\/span\u003e\u003cspan\u003epyboard microcontroller module\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ePower supply\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eMicro USB cable\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":53211090387211,"sku":"G870","price":465.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/pyControl_GridMaze_Hub_Board.png?v=1786609128"},{"product_id":"pycontrol-gridmaze-maze-expander-board","title":"pyControl GridMaze Expander Board","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 Expander Board\u003c\/strong\u003e is an expansion board that connects to the Maze Hub Board and provides additional behaviour ports for connecting GridMaze tower modules.\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe Expander Board enables the number of connected tower interaction points to be increased and is suitable for building, replacing, or expanding the electronic control setup.\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\u003eExpansion board for pyControl GridMaze electronics\u003c\/li\u003e\n\u003cli\u003eProvides behavior ports for connecting GridMaze tower modules\u003c\/li\u003e\n\u003cli\u003eSupports scalable GridMaze configurations when used with the Maze Hub Board\u003c\/li\u003e\n\u003cli\u003eSuitable as a replacement, spare, or system expansion\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 Expander PCB\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":53211093827851,"sku":"G880","price":119.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/pyControl_GridMaze_Expander_Board.png?v=1786609104"},{"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"},{"product_id":"gridmaze-bridge","title":"pyControl GridMaze Bridge (Pack of 10)","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 cognitive flexibility. It can also be combined with external recording systems such as imaging setups or cameras.\u003c\/p\u003e\n\u003cp\u003eIts unique design of removable bridges allows rapid reconfiguration of the spatial maze layout. R\u003cspan\u003eemovable bridge modules define the interconnections between towers and enable rapid reconfiguration of the maze’s spatial layout. \u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eEXPERIMENTAL CAPABILITIES\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp class=\"MsoNormal\"\u003eThe removable \u003cstrong\u003epyControl GridMaze Bridge\u003c\/strong\u003e connects individual GridMaze towers and can be added or removed quickly to modify the available pathways. It is ideal for creating flexible, reconfigurable maze configurations to suit different experimental designs.\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 class=\"MsoNormal\" style=\"mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;\"\u003eFlat acrylic walking surface\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;\"\u003eHigh side walls to help keep mice securely on the bridge\u003c\/li\u003e\n\u003cli\u003eRemovable design for quick and easy installation\u003cspan class=\"PDq2pG_selectionAnchor\"\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eSuitable for replacement or maze expansion\u003c\/li\u003e\n\u003cli\u003eBridge dimensions: 80 mm (L) × 45 mm (W)\u003c\/li\u003e\n\u003cli\u003eSide wall dimensions: 36 mm (L) × 15 mm (H)\u003cbr\u003e\n\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 class=\"MsoNormal\" style=\"mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;\"\u003e10 × acrylic bridges with side walls\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\" rel=\"noopener\" 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 rel=\"noopener\" 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 rel=\"noopener\" 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\" rel=\"noopener\" target=\"_blank\"\u003eeLife\u003c\/a\u003e\u003c\/em\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" rel=\"noopener\" target=\"_blank\"\u003eDocumentation\u003c\/a\u003e \u003ca href=\"https:\/\/github.com\/pyControl\/hardware\/tree\/master\/GridMaze\" rel=\"noopener\" 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":53293537296651,"sku":"G900","price":99.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/files\/pyControl_GridMaze_Bridge.png?v=1786609035"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1355\/5871\/collections\/Collection_image_GridMaze.png?v=1789471663","url":"https:\/\/www.labmaker.org\/collections\/pycontrol-gridmaze.oembed","provider":"LABmaker","version":"1.0","type":"link"}