Dataset Information

Memory for stimulus sequences: a divide between humans and other animals?

ABSTRACT: Humans stand out among animals for their unique capacities in domains such as language, culture and imitation, yet it has been difficult to identify cognitive elements that are specifically human. Most research has focused on how information is processed after it is acquired, e.g. in problem solving or 'insight' tasks, but we may also look for species differences in the initial acquisition and coding of information. Here, we show that non-human species have only a limited capacity to discriminate ordered sequences of stimuli. Collating data from 108 experiments on stimulus sequence discrimination (1540 data points from 14 bird and mammal species), we demonstrate pervasive and systematic errors, such as confusing a red-green sequence of lights with green-red and green-green sequences. These errors can persist after thousands of learning trials in tasks that humans learn to near perfection within tens of trials. To elucidate the causes of such poor performance, we formulate and test a mathematical model of non-human sequence discrimination, assuming that animals represent sequences as unstructured collections of memory traces. This representation carries only approximate information about stimulus duration, recency, order and frequency, yet our model predicts non-human performance with a 5.9% mean absolute error across 68 datasets. Because human-level cognition requires more accurate encoding of sequential information than afforded by memory traces, we conclude that improved coding of sequential information is a key cognitive element that may set humans apart from other animals.

SUBMITTER: Ghirlanda S

PROVIDER: S-EPMC5493902 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Memory for stimulus sequences: a divide between humans and other animals?

Ghirlanda Stefano S Lind Johan J Enquist Magnus M

Royal Society open science 20170621 6

Humans stand out among animals for their unique capacities in domains such as language, culture and imitation, yet it has been difficult to identify cognitive elements that are specifically human. Most research has focused on how information is processed after it is acquired, e.g. in problem solving or 'insight' tasks, but we may also look for species differences in the initial acquisition and coding of information. Here, we show that non-human species have only a limited capacity to discriminat ...[more]

PMID: 28680660

Similar Datasets

Project description:The prevalence and propagation of antimicrobial resistance (AMR) are serious global public health concerns. The large and the ever-increasing use of antibiotics in livestock is also considered a great concern. The extent of the similarity of acquired antibiotic resistance genes (ARGs) between humans and food animals and the driving factors underlying AMR transfer between them are not clear, although a link between ARGs in both hosts was proposed. To address this question, with swine and chicken as examples of food animals, we analyzed over 1,000 gut metagenomes of humans and food animals from over the world. A relatively high abundance and diversity of ARGs were observed in swine compared with those in humans as a whole. Commensal bacteria, particularly species from Clostridiales, contribute the most ARGs associated with mobile genetic elements (MGEs) and were found in both humans and food animals. Further studies demonstrate that overrepresented MGEs, namely, Tn4451/Tn4453 and TnAs3, are attributed mainly to the sharing between humans and food animals. A member of large resolvase family site-specific recombinases, TnpX, is found in Tn4451/Tn4453 which facilitates the insertions of the transient circular molecule. Although the variance in the transferability of ARGs in humans is higher than that in swine, a higher average transferability was observed in swine than that in humans. In conclusion, the potential antibiotic resistance hot spots with higher transferability in food animals observed in the present study emphasize the importance of surveillance for emerging resistance threats before they spread. IMPORTANCE Antimicrobial resistance (AMR) has proven to be a global public health concern. To conquer this increasingly worrying trend, an overarching, One Health approach has been used that brings together different sectors, but the fundamental knowledge of the relationship between humans, food animals, and their environments is not mature yet or is lacking in some aspect. With swine and chicken as examples of food animals, a large global data set of over 1,000 human and food animal gut metagenomes was analyzed with a focus on acquired antibiotic resistance genes (ARGs) associated with mobile genetic elements (MGEs) to answer this question. Outputs from this work open a new avenue to further our understanding of ARG transferability in food animals. It is a necessary milestone to better equip governmental agencies to monitor and pre-empt antibiotic resistance hot spots. This work will assist and give guidance on how to decipher other links within any One Health initiatives with expected positive feedback to human health.

Project description:BackgroundZoonotic diseases are disproportionately affecting poor societies in low-income countries and pose a growing threat to public health and global food security. Rural Cambodian households may face an increased likelihood of exposure to zoonotic diseases as people there live in close association with livestock. The objectives of the study was to identify practices known to influence zoonosis transmission in rural Cambodian households and relate the practices to agro-ecological region, socio-economic position, demographics, livestock management and zoonosis awareness.MethodsThe study was conducted in three different agro-ecological regions of Cambodia; 10 villages each in the central lowlands, north-west wetlands and on the south coast, where information was obtained in questionnaires administered to 300 households, and 30 village heads and animal health workers.ResultsDescriptive analysis revealed a gender difference in responsibility for livestock and that the main purpose of raising livestock was for sale. Few respondents (6%) perceived a likelihood of disease transmission in their village between livestock, humans and wildlife, despite household practices related to zoonosis transmission being common. More than one-forth of households practised behaviours such as culling sick animals for consumption, eating animals found dead and allowing animals to enter sleeping and food preparation areas. Associations between household practices and possible explanatory factors were analysed with multivariable models using generalised estimation equations to account for clustering of practices within villages. Factors found to influence household practices were agro-ecological region, socio-economic position, number of people in the household, livestock species reared and awareness of zoonoses.ConclusionsCambodia has experienced numerous fatal human cases of zoonotic influenza and extensive influenza information campaigns have been run, yet only a few of the households surveyed here reported the threat of zoonosis to be a concern in their village. Zoonosis awareness was positively related to hand washing behaviour, but other practices associated with an increased or decreased likelihood of exposure to zoonotic pathogens were unaffected by awareness. The findings indicate a knowledge-to-action gap among rural farmers and highlight the necessity for reconstructed interventions in zoonotic disease control.

Dataset Information

Memory for stimulus sequences: a divide between humans and other animals?

Publications

Memory for stimulus sequences: a divide between humans and other animals?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets