The DMC-Behavior Platform: An Open-Source Framework for Auditory-Guided Perceptual Decision-Making in Head-Fixed Mice
Year: 2025
Type: article
Abstract: Perceptual decision-making describes the process of selecting an appropriate action based on the sensory information present in the immediate environment and is hence an omnipresent factor in the life of animals. In preclinical research, a widespread approach to study the neuronal correlates of perceptual decision-making is to record (and manipulate) neuronal activity in head-fixed mice performing behavioral tasks. In contrast to the technologies used to record/manipulate neuronal activity, standardization of the behavioral training of mice is generally neglected, a circumstance that is particularly true for behavioral tasks involving auditory stimuli. Here, we present the DMC-Behavior Platform, an open-source, cost-efficient framework for training head-fixed mice in perceptual decision-making tasks involving auditory stimuli. Combining the DMC-Behavior Platform with strategies to record and manipulate neuronal activity offers many opportunities to test hypotheses on the neuronal underpinnings of cognitive processes. We demonstrate the utility of the platform by training mice on auditory variants of three behavioral tasks commonly used to study perceptual decision-making: a detection, a Go/NoGo, and a two-alternative forced choice task. The presented work establishes the seamless integration and synchronization of external devices to record neuronal activity, task-related, and nontask-related behavioral variables. Our platform provides a valuable tool for more standardized and reproducible investigations into the neuronal circuits underlying auditory-guided decision-making.
Source: eNeuro
Authors: Felix Jung, Xiao Cao, Loran Heymans, Marie Carlén
Institution: Karolinska Institutet
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,925
OpenAlex ID: W4409325095