High-Yield Methods for Accurate Two-Alternative Visual Psychophysics in Head-Fixed Mice

Burgess, Christopher; Lak, Armin; Steinmetz, Nicholas A.; Zatka-Haas, Peter; Reddy, Charu Bai; Jacobs, Elina A. K.; Linden, JF; Paton, Joseph J.; Ranson, Adam; Schröder, Sylvia; Soares, Sofia; Wells, Miles J.; Wool, Lauren E; Harris, Kenneth D.; Carandini, Matteo

doi:10.1016/j.celrep.2017.08.047

Cited by 165 publications

(167 citation statements)

References 58 publications

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“…2a, 2a’ and 2a’’ ). All the mice eventually reached a >83% performance level, comparable to what mice achieve in similar tasks 19,27 . The GLM makes a prediction for the outcome of each trial based on a weighted combination of several input variables: the current visual stimulus, a constant bias term, and three terms representing the history of previous trials ( Fig.…”

Section: Resultssupporting

confidence: 68%

Mouse Academy: high-throughput automated training and trial-by-trial behavioral analysis during learning

Qiao

Zhang

Segalin

et al. 2018

Preprint

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16ABSTRACT 17Progress in understanding how individual animals learn will require high-throughput 18 standardized methods for behavioral training but also advances in the analysis of the resulting 19 behavioral data. In the course of training with multiple trials, an animal may change its behavior 20 abruptly, and capturing such events calls for a trial-by-trial analysis of the animal's strategy. To 21 address this challenge, we developed an integrated platform for automated animal training and 22analysis of behavioral data. A low-cost and space-efficient apparatus serves to train entire 23 cohorts of mice on a decision-making task under identical conditions. A generalized linear model 24(GLM) analyzes each animal's performance at single-trial resolution. This model infers the 25 momentary decision-making strategy and can predict the animal's choice on each trial with an 26 accuracy of ~80%. We also assess the animal's detailed trajectories and body poses within the 27 apparatus. Unsupervised analysis of these features revealed unusual trajectories that represent 28 hesitation in the response. This integrated hardware/software platform promises to accelerate the 29 understanding of animal learning. 30 31

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Section: Resultssupporting

confidence: 68%

Mouse Academy: high-throughput automated training and trial-by-trial behavioral analysis during learning

Qiao

Zhang

Segalin

et al. 2018

Preprint

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“…Another application is to use the freely moving behavior task to determine parameters and generate stimuli for lower throughput headfixed tasks [8, 45-48]. The ability to more rapidly test and generate trained animals in the freely moving behavioral tasks can expedite training and restrict the parameter space for headfixed behavioral tasks.…”

Section: Discussionmentioning

confidence: 99%

A touchscreen based global motion perception task for mice

2016

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Global motion perception is a function of higher, or extrastriate, visual system circuitry. These circuits can be engaged in visually driven navigation, a behavior at which mice are adept. However, the properties of global motion perception in mice are unclear. Therefore, we developed a touchscreen-based, two-alternative forced choice (2AFC) task to explore global motion detection in mice using random dot kinematograms (RDK). Performance data was used to compute coherence thresholds for global motion perception. The touchscreen-based task allowed for parallel training and testing with multiple chambers and minimal experimenter intervention with mice performing hundreds of trials per session. Parameters of the random dot kinematograms, including dot size, lifetime, and speed, were tested. Mice learned to discriminate kinematograms whose median motion direction differed by 90 degrees in 7-24 days after a 10-14 day pre-training period. The average coherence threshold (measured at 70% correct) in mice for this task was 22 ± 5%, with a dot diameter of 3.88 mm and speed of 58.2 mm/second. Our results confirm the ability of mice to perform global motion discriminations, and the touchscreen assay provides a flexible, automated, and relatively high throughput method with which to probe complex visual function in mice.

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“…This was overcome in another Arduino-based operant chamber capable of delivering water reinforcer (Devarakonda et al, 2016) that provides a GUI for live data monitoring. Versatile options for head-fixed behavioral tasks combined with two-photon calcium imaging have been developed by Micaleff et al for go/no-go tasks (Micallef et al, 2017) and by Brugess and colleagues for two-alternative choice paradigms (Burgess et al, 2017). Here we provide a complex system that goes one step further in flexibility and level of control compared to these more specialized solutions.…”

Section: Discussionmentioning

confidence: 99%

Open source tools for temporally controlled rodent behavior suitable for electrophysiology and optogenetic manipulations

Solari

Sviatkó

Laszlovszky

et al. 2018

Preprint

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Understanding how the brain controls behavior requires observing and manipulating neural activity in awake behaving animals. Neuronal firing is timed at millisecond precision. Therefore, to decipher temporal coding, it is necessary to monitor and control animal behavior at the same level of temporal accuracy. However, commonly available processors are not designed for this task and it is challenging to deliver sensory stimuli and reinforcers as well as to read the behavioral responses they elicit with millisecond precision. We present here a set of tools that offer affordable solutions to achieve these goals, including a physical environment to train head-fixed animals, means of providing calibrated sound stimuli and technical details of delivering sensory cues, fluid reward and air puff punishment with measured latencies. Combined with electrophysiology and optogenetic manipulations, the millisecond timing accuracy will help interpret temporally precise neural signals and behavioral changes. Additionally, since software and hardware provided here can be readily customized to achieve a large variety of paradigms, these solutions enable an unusually flexible design of rodent behavioral experiments.

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High-Yield Methods for Accurate Two-Alternative Visual Psychophysics in Head-Fixed Mice

Cited by 165 publications

References 58 publications

Mouse Academy: high-throughput automated training and trial-by-trial behavioral analysis during learning

Mouse Academy: high-throughput automated training and trial-by-trial behavioral analysis during learning

A touchscreen based global motion perception task for mice

Open source tools for temporally controlled rodent behavior suitable for electrophysiology and optogenetic manipulations

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