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Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence

Lidong Wang, Cheryl Ann Alexander
2019 Neuroscience International  
Many countries have launched brain-related projects in which neuroscience and brain-inspired artificial intelligence are major targeted areas to increase national interests and enhance their strength in  ...  Neuroscience and brain-inspired artificial intelligence are significant research areas.  ...  Author's Contributions Both authors contributed equally to this paper. Ethics In this article, ethical principles related to scientific research articles are observed.  ... 
doi:10.3844/amjnsp.2019.13.21 fatcat:dtoa5moa2bhwdbiaxe6belwlf4

Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence

Lidong Wang, Cheryl Ann Alexander
2020 Neuroscience International  
Many countries have launched brain-related projects in which neuroscience and brain-inspired artificial intelligence are major targeted areas to increase national interests and enhance their strength in  ...  Neuroscience and brain-inspired artificial intelligence are significant research areas.  ...  Author's Contributions Both authors contributed equally to this paper. Ethics In this article, ethical principles related to scientific research articles are observed.  ... 
doi:10.3844/amjnsp.2020.1.9 fatcat:apbgz22m6ffwzehijvq662pvwe

The Roles of Statistics in Human Neuroscience

Oliver Y. Chén
2019 Brain Sciences  
I discuss these concepts using examples from past and ongoing research in brain connectivity, brain information flow, information extraction from large-scale neuroimaging data, and neural predictive modeling  ...  brain data.  ...  I acknowledge with gratitude the help that I have received from many colleagues in preparing this article. I am deeply grateful to J.  ... 
doi:10.3390/brainsci9080194 pmid:31398878 pmcid:PMC6721802 fatcat:pudvsmpqxncvxjhs5ukwdlh4rm

Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience

Robert A. McDougal, Thomas M. Morse, Ted Carnevale, Luis Marenco, Rixin Wang, Michele Migliore, Perry L. Miller, Gordon M. Shepherd, Michael L. Hines
2016 Journal of Computational Neuroscience  
of scale.  ...  Large research groups (Allen Brain Institute, EU Human Brain Project, etc.) are emerging that collect data across multiple scales and integrate that data into many complex models, presenting new challenges  ...  We are grateful for platforms provided to us for the curation of ModelDB models including the Louise cluster (part of Yale's HPC facilities operated by the Yale Center for Research Computing and Yale's  ... 
doi:10.1007/s10827-016-0623-7 pmid:27629590 pmcid:PMC5279891 fatcat:km37i5yiv5ejvng2o4b7qp67my

Usages of Spark Framework with Different Machine Learning Algorithms

Mohamed Ali Mohamed, Ibrahim Mahmoud El-henawy, Ahmad Salah, Ahmed Mostafa Khalil
2021 Computational Intelligence and Neuroscience  
Big data is required to illuminate the relationships between things, forecast future trends, and provide more information to decision-makers.  ...  This article gives an introduction to Spark architecture as a platform that machine learning methods may utilize to address issues regarding the design and execution of large data systems.  ...  Big data analytics is the process of analyzing massive amounts of data in order to discover hidden patterns and relationships. Big data research is at the forefront of current research and industry.  ... 
doi:10.1155/2021/1896953 fatcat:y3bkzwmtt5cfnmscww33qvydiu

28th Annual Computational Neuroscience Meeting: CNS*2019

2019 BMC Neuroscience  
A hexapod robotic platform was built using printable parts from the BQ DIWO PrintBot Crab, whose schematics are open-source.  ...  Activity from both the LP and PD neurons of the stomatogastric ganglion of a crab was recorded using intracellular electrodes and sent to a computer through a DAQ device.  ...  The jupyter notebooks used to configure and run the jobs on the HPC machines can be accessed from the Brain Simulation Platform of the HBP (https ://colla b.human brain proje ct.eu/#/colla b/1655/nav/66850  ... 
doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su

27th Annual Computational Neuroscience Meeting (CNS*2018): Part Two

2018 BMC Neuroscience  
Acknowledgements Supported by NINDS 1 R01 NS085006 to RLC. Acknowledgments JB was supported by NIH grant F31DC016811 to JB and JB, SC, and RG were supported by NIH R01MH1006674 to SC.  ...  Acknowledgements Ensemble modeling was performed on the Neuroscience Gateway Portal [4]. This work is supported by the CMBC Interdisciplinary Neuroscience Pilot Research Fund at Emory University.  ...  High-performance computing (HPC) workflows in neuroscience are applied in several areas: image processing, simulation, visualization, data storage, and parameter space exploration.  ... 
doi:10.1186/s12868-018-0451-y fatcat:afgrjlnjgjarldkuwo3e2pt5sm

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker (+526 others)
2017 BMC Neuroscience  
KnowledgeSpace is currently transitioning to a shared governance model, with a Governing Board composed of members of the neuroscience community who are currently funded to generate or share data and/or  ...  To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  spike trains, which makes it suitable for the analysis of big data volumes recorded from high-density microelectrode arrays (MEA) Although its basic principal is different to existing time scale independent  ... 
doi:10.1186/s12868-017-0372-1 fatcat:q5x3vgivujgshmtthc6ki4fcfu

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals (+90 others)
2017 BMC Neuroscience  
KnowledgeSpace is currently transitioning to a shared governance model, with a Governing Board composed of members of the neuroscience community who are currently funded to generate or share data and/or  ...  To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  spike trains, which makes it suitable for the analysis of big data volumes recorded from high-density microelectrode arrays (MEA) Although its basic principal is different to existing time scale independent  ... 
doi:10.1186/s12868-017-0370-3 fatcat:qq2cmqlotbg7vpqlqmmcql4u5i

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William Alexander (+473 others)
2017 BMC Neuroscience  
to utilize different HPC platforms, we have developed an automatic Optimize dynamic structures for models with time-varying number code generation tool which can be used to define abstract models  ...  Our analytical computations allow us to make key predictions.  ... 
doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Kenji Yoshimura, Atsushi Shima, Sawamoto Nobukatsu, and support by Asuka Honji in data analysis.  ...  The research was also partially supported by the computational resources of HPC facilities. Acknowledgements We thank NIH for supporting N.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain

Katrin Amunts, Christoph Ebell, Jeff Muller, Martin Telefont, Alois Knoll, Thomas Lippert
2016 Neuron  
It uses productive loops of experiments, medical, data, data analytics, and simulation on all levels that will eventually bridge the scales.  ...  The HBP IT architecture is unique, utilizing cloud-based collaboration and development platforms with databases, workflow systems, petabyte storage, and supercomputers.  ...  ACKNOWLEDGMENTS This research has received funding from the European Union Seventh Framework Programme (FP7/ 2007(FP7/ -2013 under grant agreement number 604102 (HBP Ramp-Up Phase) and grant agreement  ... 
doi:10.1016/j.neuron.2016.10.046 pmid:27809997 fatcat:ly2b3xbpl5bwxhlxrs5nhhqfgq

Spectrum Degradation of Hippocampal LFP During Euthanasia

Yuchen Zhou, Alex Sheremet, Jack P Kennedy, Nicholas M DiCola, Carolina B Maciel, Sara N Burke, Andrew P Maurer
2021 Frontiers in Systems Neuroscience  
Broadly, these data support the energy cascade theory where there is a cascade of energy from large cortical populations into smaller loops, such as those that supports the higher frequency gamma rhythm  ...  To test this hypothesis, we examined rat LFPs recorded from the hippocampus and entorhinal cortex during barbiturate overdose euthanasia.  ...  Furthermore, this forcing occurs as a cascade from macro to micro scale, from arteries through arterioles to capillaries.  ... 
doi:10.3389/fnsys.2021.647011 pmid:33967707 pmcid:PMC8102791 fatcat:cvcgzztn7rf7ldktzrl5lgnei4

Dynamic Mechanism and Decision Analysis of Urban Exhibition Tourism Development Based on High-Performance Computing

Hongzhen Wan, Daqing Gong
2022 Computational Intelligence and Neuroscience  
MICE tourism has received the attention and support from relevant departments and tourism industry with the growth rate of recent years.  ...  It can be seen that the development power of MICE tourism should start from tourism resources, so that the development power mechanism of urban MICE tourism can be optimized and improved, which not only  ...  Currently, the data is growing massively, from the Internet of ings to cloud computing, from big data to artificial intelligence, from Bitcoin to blockchain [16, 17] , and the information revolution is  ... 
doi:10.1155/2022/3806752 pmid:35432521 pmcid:PMC9007668 fatcat:s5ovlhg5rneclhmvedtp23mcyq

Seven Principles for Effective Scientific Big-DataSystems [article]

Niall H. Robinson and Joe Hamman and Ryan Abernathey
2020 arXiv   pre-print
We describe here a few simple architectural principles that we believe are essential in order to create effective, robust, and flexible platforms that make the best use of emerging technology to deal with  ...  Scientists are struggling to keep pace with the explosion in the volume and complexity of scientific data.  ...  Conclusion In talking to colleagues from diverse research fields, from climate science to astronomy to neuroscience, we see a need for a seismic shift in the way the scientific community interacts with  ... 
arXiv:1908.03356v2 fatcat:i3oc5nmkangztl5jskphpvaf3a
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