{"id":21245,"date":"2018-12-31T09:04:09","date_gmt":"2018-12-31T17:04:09","guid":{"rendered":"https:\/\/vermont.salk.edu\/?post_type=disclosure&#038;p=21245"},"modified":"2024-01-30T15:02:12","modified_gmt":"2024-01-30T23:02:12","slug":"thriving-on-teamwork-new-research-shows-how-brain-cells-filter-information-in-groups","status":"publish","type":"disclosure","link":"https:\/\/www.salk.edu\/zh\/news-release\/thriving-on-teamwork-new-research-shows-how-brain-cells-filter-information-in-groups\/","title":{"rendered":"Thriving on teamwork: new research shows how brain cells filter information in groups"},"content":{"rendered":"<p>LA JOLLA\u2014When we perceive the world around us, certain objects appear to be more noticeable than others, depending on what we do. For example, when we view a forest-covered mountain from a distance, the forest looks like a large green carpet. But as we get closer, we start noticing the individual trees, and the forest fades to the background. What happens in the brain as our experience changes so drastically?<\/p>\n<p>For decades, scientists studying the visual system thought that individual brain cells, called neurons, operate as filters.  Some neurons would prefer coarse details of the visual scene and ignore fine details, while others would do the opposite. Every neuron was thought to do its own filtering. <\/p>\n<p>A new study led by Salk Institute researchers challenges this view. The study revealed that the same neurons that prefer coarse details could change to prefer finer details under different conditions. The work, which appeared in the journal <em><a href=\"https:\/\/www.cell.com\/neuron\/fulltext\/S0896-6273(18)31078-X\">Neuron<\/a><\/em> on December 31, 2018, could help to better understand neural mechanisms that shape our perceptions of the world. <\/p>\n<figure id=\"attachment_20864\"  class=\"wp-caption alignright\"><a href=\"https:\/\/www.salk.edu\/wp-content\/uploads\/2018\/12\/Albright-Pawar-Gepshtein-PR-7185.jpg\"><img decoding=\"async\" class=\"img-responsive wp-image-20864 size-col-md-5\" src=\"https:\/\/www.salk.edu\/wp-content\/uploads\/2018\/12\/Albright-Pawar-Gepshtein-PR-7185-458x305.jpg\" alt=\"From left: Thomas Albright, Ambarish Pawar and Sergei Gepshtein\" \/><\/a><figcaption class=\"wp-caption-text\">From left: Thomas Albright, Ambarish Pawar and Sergei Gepshtein <\/p>\n<p><a href=\"https:\/\/www.salk.edu\/wp-content\/uploads\/2018\/12\/Albright-Pawar-Gepshtein-PR-7185.jpg\">Click here<\/a> for a high-resolution image<\/p>\n<p>Credit: Salk Institute<\/figcaption><\/figure>\n<p>\u201cWe were trying to look beneath the hood and figure out how these filters work,\u201d says Professor <a href=\"https:\/\/www.salk.edu\/zh\/scientist\/thomas-albright\/\">Thomas Albright<\/a>, director of Salk\u2019s Center for Neurobiology of Vision and a senior author of the study.<\/p>\n<p>\u201cThe selectivity of neurons was thought to be stable, but our work has shown that the filtering properties of neurons are much more flexible than was previously thought,\u201d adds study first author Ambarish Pawar, a postdoctoral researcher at Salk. <\/p>\n<p>The team focused on neurons in the visual cortex in an animal model. Animals were shown optical patterns in which the researchers varied the contrast between dark and light areas and measured neurons\u2019 preferences to coarse and fine details. The goal was to see how neurons process these patterns, specifically in the brain\u2019s middle temporal area within the visual cortex. Scientists expected to find that the neurons were strictly \u201ctuned\u201d to perceive either coarse or fine details, but not both. What they found instead that an individual neuron could filter both fine as well as coarse detail, depending on the contrast of the pattern. <\/p>\n<p>By measuring the firing rates of multiple neurons activated by the optical stimuli, the researchers showed that such flexibility was more likely if entire networks of neurons acted as filters rather than individual neurons.  <\/p>\n<p>\u201cOur results suggest that the previously common description of individual neurons as filters was incorrect,\u201d says <a href=\"https:\/\/www.salk.edu\/zh\/scientist\/sergei-gepshtein\/\">Sergei Gepshtein<\/a>, a scientist with the Center for Neurobiology of Vision at Salk and co-author of the new study. <\/p>\n<p> \u201cThe preference of neurons may shift due to a change in the balance of positive (excitatory) signals and negative (inhibitory) signals by which neurons communicate in the network,\u201d adds Pawar.<\/p>\n<p>The researchers showed that teaming up endows networks of neurons with a high amount of flexibility in their preferences could easily adapt and tune the brain to the changing conditions, just as you might tune a radio to get good reception as you drive.<\/p>\n<p>\"We\u2019ve uncovered a new dimension of adaptability of cortical networks,\u201d says Gepshtein. \u201cOur results made it clear that to understand that adaptability we have to rethink what the computing units of the brain are. It is the team of connected neurons\u2014the malleable neural network\u2014that is more suited as such a unit rather than an individual neuron.\u201d   <\/p>\n<p>\u201cThis unexpected finding could help us shed light on the neural mechanisms that underlie the brains\u2019 enormous adaptability to a continuously changing environment,\u201d says Pawar.  <\/p>\n<p>Albright adds that, \u201ceven though the study centered on the visual system, this same flexible quality of neural networks is likely to hold true for other parts of the brain.\u201d <\/p>\n<p>Now that they've seen the adaptable neuronal networks in action, the researchers next plan to study how changes in these networks affect behavior.<\/p>\n<p>Sergey Savel\u2019ev of Loughborough University is also an author of this paper.<\/p>\n<p>The work was funded by the National Institute of Health\u2019s National Eye Institute (NEI; R01 EY018613), an NEI Core Grant for Vision Research (P30 EY019005), the GemCon Family Foundation and Conrad T. Prebys.<\/p>","protected":false},"featured_media":0,"template":"","faculty":[88],"disease-research":[124,464],"class_list":["post-21245","disclosure","type-disclosure","status-publish","hentry","faculty-thomas-albright","disease-research-neuroscience-and-neurological-disorders","disease-research-perception"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Thriving on teamwork: new research shows how brain cells filter information in groups - Salk Institute for Biological Studies<\/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:\/\/www.salk.edu\/zh\/news-release\/thriving-on-teamwork-new-research-shows-how-brain-cells-filter-information-in-groups\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Thriving on teamwork: new research shows how brain cells filter information in groups - Salk Institute for Biological Studies\" \/>\n<meta property=\"og:description\" content=\"LA JOLLA\u2014When we perceive the world around us, certain objects appear to be more noticeable than others, depending on what we do. 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