Summary: A new study reveals the role the hippocampus plays in language acquisition.
Source: University of Sussex.
Psychologists found that when we learn the names of unfamiliar objects, brain regions involved in learning actively predict the objects the names correspond to. The brain tests these predictions just as scientists would test a scientific theory.
The team found that the hippocampus – a brain region that is affected in Alzheimer’s disease and some developmental language disorders – plays a key role learning the names of objects via a “propose-but-verify” strategy. Using this strategy learners actively predict which of the words they hear correspond to each of the objects they see.
Twenty-three adults looked at scenes with multiple objects whilst listening to words in an MRI scanner. The MRI scanner allows psychologists to see which brain regions are active while participants carry out tests of memory and attention.
The words and objects were made up so that they were completely new to the study participants. Because multiple unknown words and objects were presented simultaneously, it was never immediately obvious which words corresponded to which object. The correspondences could only be learned across several minutes. However, by covertly proposing name-object correspondences and testing those proposals across many scenes, all of the adults were able to learn the words for all 18 previously unfamiliar objects.
The MRI scans revealed that the hippocampus was central to this propose-but-verify mechanism. Specifically, it helped adults remember the word object correspondences over time.
The findings, published today, Thursday 15 March 2018, in the journal Current Biology, shed light on how the brain supports language acquisition. The findings have implications for both language education and our understanding of what is happening in languages disorders.
Lead researcher Dr Sam Berens said: “Children have a remarkable ability to learn new languages and it is hotly debated whether they use a propose-but-verify strategy during early language development. Our experiment shows that the hippocampus can support propose-but-verify learning in adults and that this learning mechanism is favoured over other strategies.”
“A logical next step would be to apply the research techniques that we used in this study to investigate language impairments in children and adults. Children are able to learn new languages effortlessly, but it is still unclear if they learn words in the same way as adults. This research technique would give us more insight into studying language development and will leave us better equipped to help those with developmental language difficulties.”
About this neuroscience research article
Funding: Senior researcher Dr Chris Bird, who oversaw the research project, is continuing to investigate the ways in which language learning is affected in Alzheimer’s disease and whether some learning strategies are less affected by the condition than others. This programme of research is funded by the European Research Council.
[cbtabs][cbtab title=”MLA”]University of Sussex “Brain Mechanism Involved in Language Learning Revealed.” NeuroscienceNews. NeuroscienceNews, 16 March 2018. <https://neurosciencenews.com/hippocampus-language-learning-8651/>.[/cbtab][cbtab title=”APA”]University of Sussex (2018, March 16). Brain Mechanism Involved in Language Learning Revealed. NeuroscienceNews. Retrieved March 16, 2018 from https://neurosciencenews.com/hippocampus-language-learning-8651/[/cbtab][cbtab title=”Chicago”]University of Sussex “Brain Mechanism Involved in Language Learning Revealed.” https://neurosciencenews.com/hippocampus-language-learning-8651/ (accessed March 16, 2018).[/cbtab][/cbtabs]
Cross-Situational Learning Is Supported by Propose-but-Verify Hypothesis Testing
Highlights •Subjects learned word-object associations across multiple exposures during fMRI •Learning involved regions associated with working memory and reward processing •RSA showed that learning was mediated by a propose-but-verify mechanism
Summary When we encounter a new word, there are often multiple objects that the word might refer to. Nonetheless, because names for concrete nouns are constant, we are able to learn them across successive encounters. This form of “cross-situational” learning may result from either associative mechanisms that gradually accumulate evidence for each word-object association or rapid propose-but-verify (PbV) mechanisms where only one hypothesized referent is stored for each word, which is either subsequently verified or rejected. Using model-based representation similarity analyses of fMRI data acquired during learning, we find evidence for learning mediated by a PbV mechanism. This learning may be underpinned by rapid pattern-separation processes in the hippocampus. Our findings shed light on the psychological and neural processes that support word learning, suggesting that adults rely on their episodic memory to track a limited number of word-object associations.