Long-range connectomics.
Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and c...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2013
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| _version_ | 1797052197225103360 |
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| author | Jbabdi, S Behrens, T |
| author_facet | Jbabdi, S Behrens, T |
| author_sort | Jbabdi, S |
| collection | OXFORD |
| description | Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and connectivity is therefore a prerequisite to cracking the neural code. In the past few decades, tremendous technological advances have been achieved in connectivity measurement techniques. We now possess a battery of tools to measure brain activity and connections at all available scales. A great source of excitement are the new in vivo tools that allow us to measure structural and functional connections noninvasively. Here, we discuss how these new technologies may contribute to deciphering the neural code. |
| first_indexed | 2024-03-06T18:29:04Z |
| format | Journal article |
| id | oxford-uuid:09002296-a3bf-4ed1-819a-d5e2096a91b0 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:29:04Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:09002296-a3bf-4ed1-819a-d5e2096a91b02022-03-26T09:16:00ZLong-range connectomics.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:09002296-a3bf-4ed1-819a-d5e2096a91b0EnglishSymplectic Elements at Oxford2013Jbabdi, SBehrens, TDecoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long-range connections. Understanding the relationship between brain activity and connectivity is therefore a prerequisite to cracking the neural code. In the past few decades, tremendous technological advances have been achieved in connectivity measurement techniques. We now possess a battery of tools to measure brain activity and connections at all available scales. A great source of excitement are the new in vivo tools that allow us to measure structural and functional connections noninvasively. Here, we discuss how these new technologies may contribute to deciphering the neural code. |
| spellingShingle | Jbabdi, S Behrens, T Long-range connectomics. |
| title | Long-range connectomics. |
| title_full | Long-range connectomics. |
| title_fullStr | Long-range connectomics. |
| title_full_unstemmed | Long-range connectomics. |
| title_short | Long-range connectomics. |
| title_sort | long range connectomics |
| work_keys_str_mv | AT jbabdis longrangeconnectomics AT behrenst longrangeconnectomics |