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Design of Cloud Based Robots Using Big Data Analytics and Neuromorphic Computing

Ashwin Satyanarayana, Janusz Kusyk, Yu-Wen Chen
2018 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)  
While a traditional computer excels in precision and unbiased logic, its abilities to interact socially lags behind those of biological neural systems.  ...  We also propose a novel dual system architecture for robots where they have a brain centered cloud with access to big data analytics.  ...  A non-von Neumann chip, called TrueNorth, was developed to model biological neural networks.  ... 
doi:10.1109/ccece.2018.8447874 dblp:conf/ccece/SatyanarayanaKC18 fatcat:42gta34pzrhhxifqvcsjbjtkmi

A Spiking Neural Network Builder for Systematic Data-to-Model Workflow

Carlos Enrique Gutierrez, Henrik Skibbe, Hugo Musset, Kenji Doya
2022 Frontiers in Neuroinformatics  
Here, we present a framework to support collaborative data-driven development of spiking neural network (SNN) models based on the Entity-Relationship (ER) data description commonly used in large-scale  ...  This allows a robust "business-oriented" data representation that supports collaborative model building and traceability of source information for every detail of a model.  ...  We have designed SNNbuilder as a web-application to support the collaborative building of sustainable, renewable, and scaleable SNN models.  ... 
doi:10.3389/fninf.2022.855765 pmid:35909884 pmcid:PMC9326306 fatcat:dersno4klze6hooqmvk3jgg5bi

Quantum mechanics in the brain

Christof Koch, Klaus Hepp
2006 Nature  
Therefore a well-founded understanding of these issues is desirable. The role of quantum mechanics for the photons received by the eye and for the molecules of life is not controversial.  ...  The relationship between quantum mechanics and higher brain functions is an entertaining topic at parties between a mixed, open-minded group of academics.  ...  This effort can cause to be held in place for an extended period [t], a pattern [PSP] of neural activity that constitutes a template for action.  ... 
doi:10.1038/440611a pmid:16572152 fatcat:czgo7ggs35ferce2bkxix327y4

Neural Prosthetics:A Review of Empirical vs. Systems Engineering Strategies

Gerald E. Loeb
2018 Applied Bionics and Biomechanics  
This review cites a selection of foundational and recent journal articles and reviews for all major applications of neural prosthetic interfaces in clinical use, trials, or development.  ...  These include a frank assessment of a specific clinical problem, the state of its underlying science, the identification of feasible targets, the availability of suitable technologies, and the path to  ...  Robert Brownstone for his critical reading of the manuscript and insights into clinical practice and many colleagues in the industry who have educated the author about the medical device business over  ... 
doi:10.1155/2018/1435030 pmid:30532801 pmcid:PMC6247642 fatcat:rpwb27t47zferabvgdyzyb5bni

Abstracts of the Tenth Annual Meeting of the Israel Society for Neurosciences

2001 Neural Plasticity  
These result.s are explained by a model of an ongoing selection process that runs in parallel to an e_xecution process.  ...  Gan; 3Ben-Gurion University of the Negev, Beer Sheva We investigated the co.upling between response selection and execution in a Stroop tas.k witti handwritten resp.onses.  ...  In order to better understand the transformation of neural signals into muscle action, we characterized the ionic currents in dissociated muscle cells, which were then incorporated into a HH type model  ... 
doi:10.1155/np.2001.157 pmid:11783444 pmcid:PMC2565376 fatcat:ybrait32srfhbaddpozdxlwvcu

Hybrid soft computing systems: industrial and commercial applications

P.P. Bonissone, Yu-To Chen, K. Goebel, P.S. Khedkar
1999 Proceedings of the IEEE  
We present a collection of methods and tools that can be used to perform diagnostics, estimation, and control.  ...  We illustrate some combinations of hybrid SC systems, such as fuzzy logic controllers (FLCs) tuned by neural networks (NNs) and evolutionary computing (EC), NNs tuned by EC or FLCs, and EC controlled by  ...  Approach Our design uses a fuzzy controller, composed of a cruise planning module and a cruise control module that can automate the controls of a freight train [74] .  ... 
doi:10.1109/5.784245 fatcat:ntpjdm3exbgudlxqi62ikvsvuu

Multi-period portfolio selection with drawdown control

Peter Nystrup, Stephen Boyd, Erik Lindström, Henrik Madsen
2018 Annals of Operations Research  
As a benchmark, also forecasts from an artificial neural network autoregression (NNAR), ARIMA and ETS model are produced.  ...  We use our model with a variety of inflation measures and survey-based forecasts for several countries.  ...  We discuss the obtained results from the business perspective covering forecasts applications in the inventory optimization and demand planning areas.  ... 
doi:10.1007/s10479-018-2947-3 fatcat:haworusnrfcqvlmkmbidfwb5wu

Cognitive and Emotional Mapping With SEEG

Daniel L. Drane, Nigel P. Pedersen, David S. Sabsevitz, Cady Block, Adam S. Dickey, Abdulrahman Alwaki, Ammar Kheder
2021 Frontiers in Neurology  
We also touch on brain-machine interfaces, philosophical aspects of aligning tasks to brain circuits, and the study of consciousness.  ...  Mapping of cortical functions is critical for the best clinical care of patients undergoing epilepsy and tumor surgery, but also to better understand human brain function and connectivity.  ...  Anne Cleary and Joseph Neisser for contributing ideas related to our use of a deja vu assessment task.  ... 
doi:10.3389/fneur.2021.627981 pmid:33912122 pmcid:PMC8072290 fatcat:wwfwlivdwzg5tieokyktjmi4ee

The "sewing machine" for minimally invasive neural recording [article]

Timothy L Hanson, Camilo A Diaz-Botia, Viktor Kharazia, Michel M Maharbiz, Philip N Sabes
2019 bioRxiv   pre-print
This approach points the way toward a new generation of scaleable, stable, and safe neural interfaces, both for the basic scientific study of brain function and for clinical applications.  ...  We present a system for scalable and customizable recording and stimulation of neural activity.  ...  There are a number of other notable approaches for minimally-invasive neural recording.  ... 
doi:10.1101/578542 fatcat:h2tr5vmw2jfbpls7xlqyr7lu2u

Massively parallel neural computation

Paul James Fox, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository
This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model.  ...  It is shown to be capable of computing the activity of a network of 256k Izhikevich spiking neurons with a fan-out of 1k in real-time using a network of 4 FPGA boards.  ...  constructing a scaleable multi-FPGA platform.  ... 
doi:10.17863/cam.16380 fatcat:vpmmujnet5ca5cofcr5pkiqawm

Abstracts of papers presented at the 1996 Pittsburgh Conference

1996 Journal of Automatic Chemistry  
Analysis of the crude tissue extracts from the 0"1 ppm atrazine-spiked beef liver by ELISA gave a recovery of 9%, however, following MISPE the analyte recovery increased to 57%.  ...  Development of molecular imprinted polymers is a technology that utilizes functionalized polymers formed in the presence of a 'print' molecule (the analyte of interest).  ...  With ever-increasing emphasis on modelling as part of the process of prediction, planning, and policy, it is apparent that modelling needs to become a requisite part of any educational environmental programme  ... 
doi:10.1155/s1463924696000077 pmid:18925007 pmcid:PMC2548056 fatcat:2zjpnsx5ozcotnycltizaa2llm

Criticality Analysis for the Verification and Validation of Automated Vehicles

Christian Neurohr, Lukas Westhofen, Martin Butz, Martin Bollmann, Ulrich Eberle, Roland Galbas
2021 IEEE Access  
A criticality analysis precedes the design phase of an automated vehicle and is therefore located outside the V-model.  ...  Leveraging on abstraction, we define a clearly laid out process that converges towards a manageable set of artifacts based on two assumptions on the nature of traffic.  ...  The ego vehicle cannot react sufficiently, as the a req,cond spikes upwards at the end of the scenario.  ... 
doi:10.1109/access.2021.3053159 fatcat:fluplxpwxjaspa66n7653u3c5m


Tewoldebrhan Gebru
as a network of spiking neurons.  ...  This effort can cause to be held in place for an extended period [t], a pattern [PSP] of neural activity that constitutes a template for action.  ... 
doi:10.20372/nadre:1547201562.2 fatcat:36gkqvn6szbizexjfgxjucei5a

Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach

Christian Paul Mauch
The upper layers provide an interface to e ciently describe neuroscience experiments and handle automated translation of population-based spiking neural network graphs to valid hardware con gurations and  ...  Accelerated mixed-signal neuromorphic hardware presents a promising approach to overcome run time and scalability issues of software-based neural network simulations.  ...  Johannes Schemmel for continuing the vision of Prof. Meier and for taking over the supervision of my thesis. Prof. Dr. Hans-Christian Schultz-Coulon for agreeing to review this work as well as Prof.  ... 
doi:10.11588/heidok.00030979 fatcat:q3gdxru2i5aava3o2vpq7bfbzq

Defining and Controlling the Subtype Identity of Human Stem Cell-Derived Motor Neurons

Gist Fralley Croft
In order to access a greater diversity of motor neuron subtypes, including some with differential responses to ALS in vivo, we defined a developmental strategy to generate more caudal ES-cell derived motor  ...  We show that FGF treatment, in a patterning window we defined [...]  ...  active electrophysiological properties culminating in action potential spike trains.  ... 
doi:10.7916/d8zw1sxp fatcat:v6ffquggkndatpbjhgeqdee6m4
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