Related Experiment Video
Updated: Aug 18, 2026

Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
Published on: August 20, 2020
An investigation of the relationship between response latency across several cognitive tasks in the beagle dog
Pria M D Nippak1, Norton W Milgram
1Institute of Medical Science, Department of Psychology, Division of Life Sciences, University of Toronto, 1265 Military Trail, Scarborough, ON, Canada M1C 1A4. pria.nippak@utoronto.ca
Abstract:
Response latencies (RLs) extracted from simple motor tasks are a commonly used index of human intelligence. To date few human or animal studies have investigated the relationship between an individuals RL scores across a number of diverse cognitive tasks: Does RL remain consistent between individuals across several cognitive domains? Thus, the current study examined how RL measures gathered from beagle dogs (n=13) tested on three different cognitive tasks were related. RL scores were collected following both discrimination and reversal learning and a test of visuospatial memory, the 3 component delayed non-matching to position (3-DNMP) task. RL scores were recorded from the time the choice stimulus was presented until the animal selected a response. Results indicated that strong correlations emerged between 3-DNMP RLs and both the discrimination and reversal RLs, indicating that animals that responded fast on the 3-DNMP task also responded fast on the discrimination and reversal tasks. Interestingly, 3-DNMP RLs were more strongly correlated with reversal learning RLs. Finally, when mean RL performance across the three tasks was examined, strong RL differences emerged indicating that animals displayed significantly slower RLs on the 3-DNMP task than on the discrimination task, while reversal RLs remained indistinguishable from both. In conclusion, RLs show high between task correlations, indicating individual differences, and also vary between tasks, probably because of differences in task difficulty. These results further validate the use of RLs as an index of cognition, and also highlight the importance of further studies using animal models.
More Related Videos
06:46Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
Published on: August 4, 2018
08:42Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems
Published on: May 5, 2015