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Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis

S. Dura-Bernal, S. A. Neymotin, C. C. Kerr, S. Sivagnanam, A. Majumdar, J. T. Francis, W. W. Lytton
2017 IBM Journal of Research and Development  
We optimized the learning metaparameters using evolutionary algorithms, which were implemented in parallel and which used an island model approach to obtain sufficient speed.  ...  Embedding a biomimetic simulation in a closed-loop neuroprosthesis, which can read and write signals from the brain, will permit applications for amelioration of motor, psychiatric, and memory-related  ...  We demonstrate the potential of parallel evolutionary algorithms in providing a solution to the problem of automated parameter optimization in biomimetic multiscale neural systems.  ... 
doi:10.1147/jrd.2017.2656758 pmid:29200477 pmcid:PMC5708558 fatcat:t2wpsrowwfgghkconkn5di6gym

Intelligent biohybrid systems for functional brain repair

Gabriella Panuccio, Marianna Semprini, Michela Chiappalone
2016 European Journal of Molecular and Clinical Medicine  
A B S T R A C T In the quest for novel neurotechnologies to defeat brain diseases, intelligent biohybrid systems have earned a privileged role among unconventional brain repair strategies.  ...  In this review, we describe the progression of brain repair strategies, from the early pioneering demonstration of their feasibility to their recent implementation in the experimental and clinical settings  ...  Acknowledgements Gabriella Panuccio is a Marie-Skolodovska Curie Fellow supported by the project Re.B.Us, Grant Agreement 660689, funded by the European Union under the framework program Horizon 2020.  ... 
doi:10.1016/j.nhtm.2016.10.001 fatcat:kntrmz53obdzbfjc7jomlbkw5e

Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections

Jun Igarashi, Hatsuo Hayashi, Katsumi Tateno
2006 Cognitive Neurodynamics  
Learning fruitful representation from data is one of fundamental problems in machine learning and pattern recognition.  ...  Number of support vectors of the proposed algorithm was reduced while accuracy of ranking was retained. The algorithm improved the scalability of Ranking SVM at prediction stage.  ...  Acknowledgements This work was supported by a Grant-in-Aid for Science Research in a Priority Area "Super-Hierarchical Structures" from the Ministry of Education, Culture, Sports, Science and Technology  ... 
doi:10.1007/s11571-006-9003-8 pmid:19003510 pmcid:PMC2267667 fatcat:avihqfr6a5e7tm43lythi27n3a

46th ESAO Congress 3–7 September 2019 Hannover, Germany

2019 International Journal of Artificial Organs  
Biomechanical modeling allows for patientspecific outcome prediction after surgical interventions and should become a routine practice in patient treatment.  ...  Key to all state of the art developments in computer assisted surgery is the engineering on anatomy, enabled by multifunctional softwares and 3D printing technologies.  ...  Active and Composite Biomaterials P231 THE STUDY OF BIOLOGICAL LASER SOLDERS BASED ON BOVINE SERUM ALBUMIN AND SINGLE-WALL CARBON NANOTUBES USING DYNAMIC SCANNING CALORIMETRY METOD Acknowledgements  ... 
doi:10.1177/0391398819860985 fatcat:s5xpxxvq2fhtdacxuf5iw6n3z4

Applications of synergies in human machine interfaces [article]

Ramana Vinjamuri, Zhi-Hong Mao, Anil Maybhate, Maryland Shared Open Access Repository
2021
This biologically inspired concept of synergies has found important applications in rehabilitation, rehab robotics, prosthetics and exoskeletons, brain machine interfaces and human machine interfaces.  ...  In many contexts, synergies are common (shared) spatiotemporal patterns in muscle activities or movement kinematics/ dynamics.  ...  This work was funded in part by the National Science Foundation award number 1462876 and the University of Pittsburgh's Competitive Medical Research Fund.  ... 
doi:10.13016/m2xacu-wb2c fatcat:2u7oliilwjcehkgozhyhkougzm

PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS 2015 PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS 2015

Pázmány Péter
unpublished
like to thank his supervisor, Miklós Gyöngy (PhD) for the helpful and professional guidance and also thank both his supervisor and Lajos Balogh (PhD) for providing data of mice (examined in this paper  ...  This work was partially supported by the NSF/SRC grant 'Nanoelectronics Beyond 2020' and by a grant from Intel corporation.  ...  The discussion of these novel, optimized algorithms can be found in [2] .  ... 
fatcat:odh6qicnh5bbhgv67aukrbq2ty