Article

One-trial visual recognition in cats

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Abstract

The ability of normal cats to perform delayed matching- and nonmatching-to-sample with trial-unique stimuli was investigated both in a modified Wisconsin General Testing Apparatus requiring manipulatory responses and in a Nencki-type testing room requiring locomotor responses. Cats trained in the WGTA learned the two tasks at about the same rate, on average, as that reported for monkeys. However, unlike monkeys, whose strong preference for novelty facilitates their learning of the nonmatching rule and retards their learning of the matching rule, the cats learned the two different rules at about the same rate, suggesting that cats do not share the monkey's strong preference for novelty. In contrast to their relatively rapid learning of the manipulatory versions of the two tasks, cats learned the locomotor versions only slowly or even failed to learn. Experimental analysis indicated that a major source of the cats' difficulty on these locomotor versions was interference from a strong tendency in the large testing room to use visuospatial strategies. Nevertheless, once the matching or nonmatching rule was learned at short delays, whether in the WGTA or the testing room, the cats performed at criterion levels without further training even at delays of 10 minutes, indicating that this species, like monkeys, has a highly developed long-term recognition memory ability.

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... Without memory, learning fails to provide a long-term benefit to the animal. Investigations of memory in carnivores have found evidence of long-term memory in domestic cats and dogs (Fugazza et al. 2016;Fugazza and Miklósi 2014;Okujava et al. 2005), as well as episodic-like memory in dogs (Fugazza et al. 2016, but see Sluka et al. 2018). In other canids, Mahamane et al. (2014) found that coyotes fail to discriminate between quantities of food when relying on memory, instead attending to which quantities are placed first, or those on the side congruent with a side bias. ...
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Chapter
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The novel object recognition (NOR) test is a widely-used paradigm to study learning and memory in rodents. NOR performance is typically measured as the preference to interact with a novel object over a familiar object based on spontaneous exploratory behaviour. In rats and mice, females usually have greater NOR ability than males. The NOR test is now available for a large number of species, including fish, but sex differences have not been properly tested outside of rodents. We compared male and female guppies (Poecilia reticulata) in a NOR test to study whether sex differences exist also for fish. We focused on sex differences in both performance and behaviour of guppies during the test. In our experiment, adult guppies expressed a preference for the novel object as most rodents and other species do. When we looked at sex differences, we found the two sexes showed a similar preference for the novel object over the familiar object, suggesting that male and female guppies have similar NOR performances. Analysis of behaviour revealed that males were more inclined to swim in the proximity of the two objects than females. Further, males explored the novel object at the beginning of the experiment while females did so afterwards. These two behavioural differences are possibly due to sex differences in exploration. Even though NOR performance is not different between male and female guppies, the behavioural sex differences we found could affect the results of the experiments and should be carefully considered when assessing fish memory with the NOR test.
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... The long-term memory of cats appears to be highly developed, as demonstrated by use of delayed visual matching and non-matching to sample in which cats performed at criteria level (80 % in 100 consecutive trails) at delays up to 10 min (Okujava et al. 2005). Further research must be undertaken to disentangle additional factors, such as age, breed and lifetime experience, that may influence the working and long-term memory of cats. ...
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... The one-trial memory test has been widely used in rodents such as rats, mice and hamsters (Steckler et al., 1998;Thinus-Blanc et al., 1992;Heyser and Chemero, 2012) as well as in several other species including humans (Squire et al., 1988), monkeys (Malkova and Mishkin, 2003;Zola et al., 2000), dogs (Callahan et al., 2000), cats (Okujava et al., 2005), horses (Visser et al., 2002), ravens (Stowe et al., 2006) and parrots (Mettke-Hofmann et al., 2002). ...
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A neural model is presented, based largely on evidence from studies in monkeys, postulating that coded representation of stimuli are stored in the higher-order sensory (i.e. association) areas of the cortex whenever stimulus activation of these areas also triggers a cortico-limbo-thalamo-cortical circuit. This circuit, which could act as either an imprinting or rehearsal mechanism, may actually consist of two parallel circuits, one involving the amygdala and the dorsomedial nucleus of the thalamus, and the other the hippocampus and the anterior nuclei. The stimulus representation stored in cortex by action of these circuits is seen as mediating three different memory processes: recognition, which occurs when the stored representation is reactivated via the original sensory pathway; recall, when it is reactivated via any other pathway; and association, when it activates other stored representations (sensory, affective, spatial, motor) via the outputs of the higher-order sensory areas to the relevant structures.
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Recognition is the process by which a subject is aware that a stimulus has been previously experienced. It requires that the characteristics of events are perceived, discriminated, identified and then compared (matched) against a memory of the characteristics of previously experienced events. Understanding recognition memory, its underlying neuronal mechanisms, its dysfunction and alleviation of the latter by putative cognition enhancing drugs is a major research target and has triggered a wealth of animal studies. One of the most widely used animals for this purpose is the rat, and it is the rat's recognition memory which is the focus of this review. In this first part, concepts of recognition memory, stages of mnemonic processing and paradigms for the measurement of the rat's recognition memory will be discussed. In two subsequent articles (parts II and III) we will focus on the neuronal mechanisms underlying recognition memory in rats. Three major points arise from the comparison of paradigms that have in the past been used to assess recognition memory in rats. First, it should be realized that some tasks which, at face value, can all be considered to measure recognition memory in rats, may not assess recognition memory at all but may, for example, be based on recall rather than recognition. Second, it is evident that different types of recognition memory can be distinguished and that tasks differ in the type of recognition memory taxed. Some paradigms, for example, measure familiarity, whereas others assess recency. Furthermore, paradigms differ as to whether spatial stimuli or items are employed. Third, different processes, ranging from stimulus-response learning to the formation of concepts, may be involved to varying extent in different tasks. These are important considerations and question the predictive validity of the results obtained from studies examining, for example, the effects of putative cognition enhancing drugs.
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1. Dogs had considerable difficulty learning a delayed-non-matching-to sample task at a short delay (approximately 5 seconds) for an extended period (900 trials). Only 3 of 19 dogs met the learning criterion. 2. Acquisition on the DNMS task was markedly improved when a pause was introduced on presentation of the stimulus objects, when the objects were approximately 30 cm from the dog; eleven of 16 dogs learned the task within 600 trials. 3. Dogs learned the task more rapidly at 20 and 30 second delays than at 10-second delays. This indicates a transfer of learning. 4. Dogs that did learn the task were able to perform at accuracy greater than 85% at delays of 150 and 200 seconds. At a 5-minute delay, performance was at 75%. 5. When the animals were switched to a repeated object paradigm, accuracy markedly declined. 6. The improved performance produced by introduction of the pause is attributable to: (1) presenting the object at a distance longer than the dogs' near point, and (2) allowing increased processing time.
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