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Conditioned Place Preference (CPP): Quantifying Reward & Aversion Associations

Utilize sophisticated software to track rodent movement and time distribution across environments. Gain unparalleled clarity into drug-reinforced behavior and affective conditioning protocols.

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behavior PARADIGM/test

Conditional Place Preference

The Conditioned Place Preference (CPP) paradigm measures motivational valence by tracking the time subjects spend in environments paired with specific stimuli. While manual observation often introduces bias and variability, Clever Sys transforms this methodology through automated video-based behavior recognition. Our advanced AI-driven platform captures micro-behaviors with high-fidelity precision, significantly increasing data throughput and experimental reproducibility for preclinical research labs. By replacing subjective scoring with objective, real-time analytics, Clever Sys provides scientists with a robust, scalable solution that accelerates drug discovery workflows. This technological leap ensures consistent results across different studies while strictly maintaining necessary laboratory compliance standards.

  • Automated Analytics:  Advanced tracking algorithm removes subjective bias during conditional place preference test.

  • Advanced Features:  Handling Noise and Lighting Changes, Support Protocol Stage Based Events,  

  • Validated Precision:       Used by top scientists to meet preclinical compliance and produce robust, verifiable research data.

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Traditional Methods

Manual Scoring

Observer Bias

Basic Insights

Time-Consuming 

Clever Sys AI

Fully Automated

Objective & Precise

Deep Data Analytics

Real-Time Analysis and Instant Results

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Advanced Behavioral Insights

Automating Conditioned Place Preference with Clever Sys eliminates observer variability and manual scoring error. Our high-throughput platform empowers neuroscientists to quantify motivational valence and neurobiological drivers with sub-second accuracy. By providing objective, real-time spatial analytics, we ensure your behavioral data meets the rigorous reproducibility standards required for preclinical CNS drug discovery and regulatory compliance.

Tech Details

• Platform:       Win 11/10

• Software:     TopScan

• Hardware:    CPP Apparatus

Optimized Windows Software

Proven Academic Trust

Our technology represents the industry benchmark for automated behavior testing. Scientific teams across the globe have published findings based on Clever Sys tech, adhering to strict preclinical compliance protocols while ensuring the highest level of data integrity and objectivity within prestigious international journals.

Publications

See high-fidelity AI-Powered Conditional Place Preference (CPP) Analysis in action: capturing exploration with sub-second precision to maintain rigorous preclinical standards.

  • Aron, L., Ngian, Z.K., Qiu, C. et al. Lithium deficiency and the onset of Alzheimer’s disease. Nature 645, 712–721 (2025). https://doi.org/10.1038/s41586-025-09335-x. 

  • Tian Z, Song J, Zhao X, Zhou Y, Chen X, Le Q, Wang F, Ma L, Liu X. The interhemispheric amygdala-accumbens circuit encodes negative valence in mice. Science. 2024 Nov 8;386(6722):eadp7520. doi: 10.1126/science.adp7520. Epub 2024 Nov 8. PMID:39509508.

  • Escamilla CO, Filonova I, Walker AK, Xuan ZX, Holehonnur R, Espinosa F, Liu S, Thyme SB, López-García IA, Mendoza DB, Usui N, Ellegood J, Eisch AJ, Konopka G, Lerch JP, Schier AF, Speed HE, Powell CM. Kctd13 deletion reduces synaptic transmission via increased RhoA. Nature. 2017 Nov 9;551(7679):227-231. doi: 10.1038/nature24470. Epub 2017 Nov 1. PMID: 29088697; PMCID: PMC5787033.

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Precision Analytics

High-resolution tracking engines delivering granular spatial data for complex behavioral phenotyping.

Instant Data Access

Dynamic processing enables immediate visualization and rapid validation of experimental trial flows.

Preclinical Compliance

Engineered to satisfy rigorous regulatory mandates for reproducible and valid preclinical research.

Seamless Integration

Modular architecture ensures interoperability with established lab infrastructure and data pipelines.

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