000 03669nam a22005415i 4500
001 978-981-16-1288-6
003 DE-He213
005 20240423125337.0
007 cr nn 008mamaa
008 210407s2021 si | s |||| 0|eng d
020 _a9789811612886
_9978-981-16-1288-6
024 7 _a10.1007/978-981-16-1288-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aHuman Brain and Artificial Intelligence
_h[electronic resource] :
_bSecond International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers /
_cedited by Yueming Wang.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aVIII, 163 p. 56 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1369
505 0 _aARLIF: A exible and efficient recurrent neuronal model for sequential tasks -- Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL -- Machines Develop Consciousness through Autonomous Programming for General Purposes (APFGP) -- Incorporating Task-related Information in Dimensionality Reduction of Neural Population using Autoencoders -- Effective and Efficient ROI-wise Visual Encoding using an End-to-end CNN Regression Model and Selective Optimization -- Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective -- Brain-Controlled Robotic Arm Based on Adaptive FBCCA -- Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders -- Diagnosing Parkinsons Disease Using Multimodal Physiological Signals -- Emotion recognition using multi-core tensor learning and multimodal physiological signal -- A review of transfer learning for EEG-based drivingfatigue detection.
520 _aThis book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020, held in conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic HBAI 2020 was held in the year 2021 and transferred into virtual format. The 11 full papers presented were carefully reviewed and selected from 12 submissions. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-related health, neuroimaging, cognition and behavior, learning, and memory, neuron modulation, and closed-loop brain stimulation.
650 0 _aArtificial intelligence.
650 0 _aApplication software.
650 0 _aComputer vision.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Vision.
700 1 _aWang, Yueming.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811612879
776 0 8 _iPrinted edition:
_z9789811612893
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1369
856 4 0 _uhttps://doi.org/10.1007/978-981-16-1288-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176914
_d176914