Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ
Wiley, IEEE Press
[2021]
|
| Schlagwörter: | |
| Links: | https://ieeexplore.ieee.org/servlet/opac?bknumber=9292525 |
| Abstract: | "This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. It begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters"-- |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (xx, 249 Seiten) |
| ISBN: | 9781119705918 9781119705871 9781119705925 |
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| 245 | 1 | 0 | |a Cognitive modeling of human memory and learning |b a non-invasive brain-computer interfacing approach |c Lidia Ghosh, Amit Konar, and Pratyusha Rakshit (Artificial Intelligence Laboratory Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata-700032, India) |
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| 520 | 3 | |a "This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. It begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters"-- | |
| 653 | 0 | |a Memory | |
| 653 | 0 | |a Brain-computer interfaces | |
| 653 | 0 | |a Cognitive neuroscience | |
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| 653 | 0 | |a Memory | |
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| id | DE-604.BV048674532 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:51:42Z |
| institution | BVB |
| isbn | 9781119705918 9781119705871 9781119705925 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034049029 |
| oclc_num | 1369559970 |
| open_access_boolean | |
| owner | DE-573 |
| owner_facet | DE-573 |
| physical | 1 Online-Ressource (xx, 249 Seiten) |
| psigel | ZDB-35-WEL |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley, IEEE Press |
| record_format | marc |
| spelling | Ghosh, Lidia Verfasser (DE-588)1231928751 aut Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach Lidia Ghosh, Amit Konar, and Pratyusha Rakshit (Artificial Intelligence Laboratory Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata-700032, India) Hoboken, NJ Wiley, IEEE Press [2021] 1 Online-Ressource (xx, 249 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. It begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters"-- Memory Brain-computer interfaces Cognitive neuroscience PSYCHOLOGY / Cognitive Psychology & Cognition Konar, Amit 1963- Verfasser (DE-588)1063311365 aut Rakshit, Pratyusha Verfasser (DE-588)1231937963 aut |
| spellingShingle | Ghosh, Lidia Konar, Amit 1963- Rakshit, Pratyusha Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach |
| title | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach |
| title_auth | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach |
| title_exact_search | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach |
| title_full | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach Lidia Ghosh, Amit Konar, and Pratyusha Rakshit (Artificial Intelligence Laboratory Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata-700032, India) |
| title_fullStr | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach Lidia Ghosh, Amit Konar, and Pratyusha Rakshit (Artificial Intelligence Laboratory Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata-700032, India) |
| title_full_unstemmed | Cognitive modeling of human memory and learning a non-invasive brain-computer interfacing approach Lidia Ghosh, Amit Konar, and Pratyusha Rakshit (Artificial Intelligence Laboratory Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata-700032, India) |
| title_short | Cognitive modeling of human memory and learning |
| title_sort | cognitive modeling of human memory and learning a non invasive brain computer interfacing approach |
| title_sub | a non-invasive brain-computer interfacing approach |
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