{"id":19869,"date":"2015-11-25T10:30:32","date_gmt":"2015-11-25T10:30:32","guid":{"rendered":"http:\/\/ibecbarcelona.eu\/?p=19869"},"modified":"2016-06-27T19:37:27","modified_gmt":"2016-06-27T17:37:27","slug":"how-we-learn-in-chunks-and-what-it-means-for-the-brain","status":"publish","type":"post","link":"https:\/\/ibecbarcelona.eu\/ca\/how-we-learn-in-chunks-and-what-it-means-for-the-brain\/","title":{"rendered":"How we learn in chunks \u2013 and what it means for the brain"},"content":{"rendered":"

By segmenting a sequence of elements into blocks, or chunks<\/em>, information becomes easier to retain and recall in the correct order. In the paper published in PLoS Computational Biology<\/em> this week, the researchers examined the temporal dynamics behind our method of memorizing sequences. This strategy of breaking down cognitive or behavioral sequences into chunks is employed in a wide variety of tasks, such as memorizing telephone numbers, but the principles behind it remain unknown.<\/p>\n

Jordi and his collaborators used computational models to demonstrate both learning and recall of a chunking representation of sequences. \u201cWe hypothesized that sequences can be learned and stored in a manner that could be compared to a ball rolling down a pinball machine,\u201d explains Jordi. \u201cLearning can be identified with the gradual placement of the pins. After learning, the pins are placed in a way that, at each run, the ball follows the same trajectory (recall of the same sequence) that encodes the perceptual sequence. Simulations show that the dynamics share several features observed in behavioral experiments, such as increased delays before new chunks are loaded.\u201d<\/p>\n

Because chunking is a hallmark of the brain\u2019s organization, efforts to understand its dynamics can provide valuable insights into the brain and its disorders. Failures in learning chunking sequences provide new insights into the dynamical causes of neurological disorders such as Parkinson\u2019s disease and schizophrenia.<\/p>\n

Figure: Two-layer network for learning chunking dynamics. In this example, the input sequence (a, b, c, d, e) is presented repeatedly. Initially, all the synaptic connections within a matrix are similar with small random variations. After several sequence presentations, the input patterns and their order are learned according to a hierarchical order: at a lower layer composed of elementary modes and at a higher level composed of chunking modes. In the elementary layer, the weights Vii\u2032 in the directions a to b, b to c, and d to e are weakened (arrow thickness denotes coupling strength), while the weights in the opposite direction are strengthened. Similarly, the weights Wjj\u2032 learn the trajectories along three chunks: ab, c and de.<\/h6>\n

—<\/p>\n

Jordi Fonollosa, Emre Neftci & Mikhail Rabinovich (2015). \u201cLearning of Chunking Sequences in Cognition and Behavior.<\/a>\u201d Plos Computational Biology<\/em>, 19;11(11):e1004592<\/p>\n","protected":false},"excerpt":{"rendered":"

\"fonollosaIn some research conducted with his colleagues at the University of California San Diego, IBEC senior researcher Jordi Fonollosa has shed some light on the mechanisms behind how we memorize sequences \u2013 as well as how failures in these mechanisms can provide insight into neurological disorders.<\/h3>\n

Previous behavioral experiments suggest that humans and some animals learn and recall sequences in smaller segments. <\/p>\n","protected":false},"author":4,"featured_media":19866,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[],"post_formats":[],"class_list":["post-19869","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-news"],"yoast_head":"\nHow we learn in chunks \u2013 and what it means for the brain - Institute for Bioengineering of Catalonia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ibecbarcelona.eu\/ca\/how-we-learn-in-chunks-and-what-it-means-for-the-brain\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How we learn in chunks \u2013 and what it means for the brain - Institute for Bioengineering of Catalonia\" \/>\n<meta property=\"og:description\" content=\"In some research conducted with his colleagues at the University of California San Diego, IBEC senior researcher Jordi Fonollosa has shed some light on the mechanisms behind how we memorize sequences \u2013 as well as how failures in these mechanisms can provide insight into neurological disorders. 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