Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior
One of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the ne...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-09-01
|
| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.811736/full |
| _version_ | 1828112158225858560 |
|---|---|
| author | Célia Loriette Julian L. Amengual Suliann Ben Hamed |
| author_facet | Célia Loriette Julian L. Amengual Suliann Ben Hamed |
| author_sort | Célia Loriette |
| collection | DOAJ |
| description | One of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the neural bases of cognition. In this context, the inclusion of machine learning techniques to decode different aspects of human cognition and behavior and its use to develop brain–computer interfaces for applications in neuroprosthetics has supported a genuine revolution in the field. However, while these approaches have been shown quite successful for the study of the motor and sensory functions, success is still far from being reached when it comes to covert cognitive functions such as attention, motivation and decision making. While improvement in this field of BCIs is growing fast, a new research focus has emerged from the development of strategies for decoding neural activity. In this review, we aim at exploring how the advanced in decoding of brain activity is becoming a major neuroscience tool moving forward our understanding of brain functions, providing a robust theoretical framework to test predictions on the relationship between brain activity and cognition and behavior. |
| first_indexed | 2024-04-11T11:46:13Z |
| format | Article |
| id | doaj.art-1267c693ad2c4b6ba9f0879a13289aaa |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-11T11:46:13Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-1267c693ad2c4b6ba9f0879a13289aaa2022-12-22T04:25:32ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-09-011610.3389/fnins.2022.811736811736Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior Célia LorietteJulian L. AmengualSuliann Ben HamedOne of the major challenges in system neurosciences consists in developing techniques for estimating the cognitive information content in brain activity. This has an enormous potential in different domains spanning from clinical applications, cognitive enhancement to a better understanding of the neural bases of cognition. In this context, the inclusion of machine learning techniques to decode different aspects of human cognition and behavior and its use to develop brain–computer interfaces for applications in neuroprosthetics has supported a genuine revolution in the field. However, while these approaches have been shown quite successful for the study of the motor and sensory functions, success is still far from being reached when it comes to covert cognitive functions such as attention, motivation and decision making. While improvement in this field of BCIs is growing fast, a new research focus has emerged from the development of strategies for decoding neural activity. In this review, we aim at exploring how the advanced in decoding of brain activity is becoming a major neuroscience tool moving forward our understanding of brain functions, providing a robust theoretical framework to test predictions on the relationship between brain activity and cognition and behavior.https://www.frontiersin.org/articles/10.3389/fnins.2022.811736/fullbrain decodingbrain–computer interfacesmachine learningelectrophysiologyfMRIneurofeedback |
| spellingShingle | Célia Loriette Julian L. Amengual Suliann Ben Hamed Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior Frontiers in Neuroscience brain decoding brain–computer interfaces machine learning electrophysiology fMRI neurofeedback |
| title | Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| title_full | Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| title_fullStr | Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| title_full_unstemmed | Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| title_short | Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| title_sort | beyond the brain computer interface decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior |
| topic | brain decoding brain–computer interfaces machine learning electrophysiology fMRI neurofeedback |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.811736/full |
| work_keys_str_mv | AT celialoriette beyondthebraincomputerinterfacedecodingbrainactivityasatooltounderstandneuronalmechanismssubtendingcognitionandbehavior AT julianlamengual beyondthebraincomputerinterfacedecodingbrainactivityasatooltounderstandneuronalmechanismssubtendingcognitionandbehavior AT suliannbenhamed beyondthebraincomputerinterfacedecodingbrainactivityasatooltounderstandneuronalmechanismssubtendingcognitionandbehavior |