{"id":3638,"date":"2025-04-11T07:05:23","date_gmt":"2025-04-11T07:05:23","guid":{"rendered":"https:\/\/scientificworld.org\/?p=3638"},"modified":"2025-04-11T07:05:30","modified_gmt":"2025-04-11T07:05:30","slug":"new-brain-imaging-study-reveals-surprises-about-how-animals-learn","status":"publish","type":"post","link":"https:\/\/scientificworld.org\/?p=3638","title":{"rendered":"New Brain Imaging Study Reveals Surprises About How Animals Learn"},"content":{"rendered":"\n

For the first time, researchers at Johns Hopkins University have captured what happens in the brain when an animal makes a mistake, shedding light on the complex mechanics of learning. By observing the activity of individual neurons in mice, the team discovered that animals learn new skills much faster than expected and that the sensory cortex\u2014traditionally associated with processing sensory inputs\u2014is also involved in forming associations during learning. The findings, funded by federal grants, were published in the journal Nature<\/a> and could have implications for understanding learning across species, including humans.<\/p>\n\n\n\n

The study focused on mice trained to lick in response to a specific tone while ignoring another sound. Researchers recorded neural activity in the auditory cortex, a brain region associated with hearing and perception. Contrary to previous assumptions, the mice learned the task in just 20 to 40 tries, which the researchers described as “extraordinarily fast.” This rapid learning occurred in the sensory cortex, challenging the notion that learning is primarily governed by nonsensory brain areas.<\/p>\n\n\n\n

Dr. Kishore Kuchibhotla, a neuroscientist at Johns Hopkins, explained, “Looking at a tiny part of the brain in a mouse, we can understand how the brain learns, and we can make predictions about how the human brain might work.” The study also revealed that even when mice continued to make errors after learning the task, their brain activity showed they were experimenting rather than simply failing.<\/p>\n\n\n\n

The research suggests that animals may know more than they demonstrate in tests, and their apparent “slow learning” could be a strategic exploration of their environment. “We are interested in the idea that humans and other animals may know things about the world, things that they choose not to show,” Kuchibhotla said. The study highlights the distinction between learning and performance, showing that the brain is wired to toggle between these two processes as skills are mastered.<\/p>\n\n\n\n

Celine Drieu, the study’s first author, added, “Our results show that a sensory cortex does more than processing sensory inputs; it is also crucial to form associations between sensory cues and reinforced actions.”<\/p>\n\n\n\n

This groundbreaking research not only challenges traditional views of learning but also opens new avenues for understanding higher-order cognitive processes in both animals and humans. The findings suggest that the brain is more dynamic and adaptable than previously thought, with distinct neural mechanisms governing learning and performance. Future research could explore how these insights apply to human learning and cognitive development.<\/p>\n","protected":false},"excerpt":{"rendered":"

For the first time, researchers at Johns Hopkins University have captured what happens in the brain when an animal makes a mistake, shedding light on the complex mechanics of learning. By observing the activity of individual neurons in mice, the team discovered that animals learn new skills much faster than expected and that the sensory […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1093],"tags":[707],"class_list":["post-3638","post","type-post","status-publish","format-standard","hentry","category-neuroscience","tag-neurons"],"_links":{"self":[{"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/posts\/3638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/scientificworld.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3638"}],"version-history":[{"count":1,"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/posts\/3638\/revisions"}],"predecessor-version":[{"id":3639,"href":"https:\/\/scientificworld.org\/index.php?rest_route=\/wp\/v2\/posts\/3638\/revisions\/3639"}],"wp:attachment":[{"href":"https:\/\/scientificworld.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scientificworld.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scientificworld.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}