{"title":"Neuron Models in FPGA Hardware - A Route from High Level Descriptions to Hardware Implementations","authors":"F. Krewer, Aedan Coffey, F. Callaly, F. Morgan","doi":"10.5220/0005190501770183","DOIUrl":"https://doi.org/10.5220/0005190501770183","url":null,"abstract":"This paper presents the LEMS2HDL toolsuite which converts Low Entropy Model Specification (LEMS) neuron/neural network models to synthesisable Hardware Description Language (HDL) hardware descriptions. The LEMS2HDL process will provide a route for the neuroscience community to perform accelerated Field-Programmable Gate Array (FPGA) hardware implementations of the growing library of LEMS neuron/neural network models. The paper describes the LEMS to HDL conversion process and references the previously reported vicilogic platform. The paper compares the resulting FPGA hardware simulation of three LEMS neuron models with the LEMS model simulation.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134277980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Use and Know-how of ICT-technology in Different Age Groups","authors":"L. Korpinen, R. Pääkkönen, F. Gobba","doi":"10.5220/0005142200560060","DOIUrl":"https://doi.org/10.5220/0005142200560060","url":null,"abstract":"When developing various ICT solutions to support people’s well-being, the systems are quite often based on the use of computers or smart phones. However, in different age groups, the skills to use ICT can vary; therefore, not all people can use new technical systems. The aim of this paper was to investigate the selfreported use and know-how of the ICT-technology in different age groups and using the answers to the following questions: ‘how often do you use a desktop computer at leisure?’ and ‘how well do you know the desktop computer?’. The study was carried out as a cross-sectional study by posting the questionnaire to 15,000 working-age Finns. To the question ‘how well do you know the desktop computer?’, 22% of the 2030 age group answered ‘very well’ and 19.1% of the 31-40 age group also replied ‘very well’. In the 41-50 age group, the value was 15.7%, and in the age group 51-60, the value was 10.6%. In the future, when new well-being ICT technology is developed, it is important to take into account that older people do not know as much about ICT as younger people.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Meijs, S. Sørensen, K. Rechendorff, N. Rijkhoff
{"title":"In Vivo Charge Injection Limits Increased after 'Unsafe' Stimulation","authors":"S. Meijs, S. Sørensen, K. Rechendorff, N. Rijkhoff","doi":"10.5220/0005606301010105","DOIUrl":"https://doi.org/10.5220/0005606301010105","url":null,"abstract":"The effect of unsafe stimulation on charge injection limits (Qinj) and pulsing capacitance (Cpulse) was investigated. Four stimulation protocols were applied: 20 mA – 200 and 400 Hz, 50 mA – 200 and 400 Hz. Increasing Qinj and Cpulse were observed for all stimulation protocols. Corrosion was not observed with any of the stimulation protocols and no tissue damage was observed for the 20 mA – 200 Hz stimulation group. This indicates that the ‘safe potential window’ may not be applicable in vivo, as no damage was done stimulating with 20 mA at 200 Hz, while damage was done using the same current at 400 Hz.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122835930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Reichert, Matthias Kennel, R. Kruse, H. Heinze, U. Schmucker, H. Hinrichs, J. Rieger
{"title":"Robotic Grasp Initiation by Gaze Independent Brain-controlled Selection of Virtual Reality Objects","authors":"C. Reichert, Matthias Kennel, R. Kruse, H. Heinze, U. Schmucker, H. Hinrichs, J. Rieger","doi":"10.5220/0004608800050012","DOIUrl":"https://doi.org/10.5220/0004608800050012","url":null,"abstract":"Assistive devices controlled by human brain activity could help severely paralyzed patients to perform everyday tasks such as reaching and grasping objects. However, the continuous control of anthropomorphic prostheses requires control of a large number of degrees of freedom which is challenging with the currently achievable information transfer rate of noninvasive Brain-Computer Interfaces (BCI). In this work we present an autonomous grasping system that allows grasping of natural objects even with the very low information transfer rates obtained in noninvasive BCIs. The grasp of one out of several objects is initiated by decoded voluntary brain wave modulations. A universal online grasp planning algorithm was developed that grasps the object selected by the user in a virtual reality environment. Our results with subjects demonstrate that training effort required to control the system is very low (<10 min) and that the decoding accuracy increases over time. We also found that the system works most reliably when subjects freely select objects and receive virtual grasp feedback.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos Calvo, I. Kastalskiy, J. Villacorta-Atienza, Maxim Khoruzhko, V. A. Makarov
{"title":"Holistic Model of Cognitive Limbs for Dynamic Situations","authors":"Carlos Calvo, I. Kastalskiy, J. Villacorta-Atienza, Maxim Khoruzhko, V. A. Makarov","doi":"10.5220/0006586900600067","DOIUrl":"https://doi.org/10.5220/0006586900600067","url":null,"abstract":"","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126196796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an Electro-optical Emulation of the C. elegans Connectome","authors":"A. Petrushin, L. Ferrara, C. Liberale, A. Blau","doi":"10.5220/0005190601840188","DOIUrl":"https://doi.org/10.5220/0005190601840188","url":null,"abstract":"The tiny worm Caenorhabditis elegans features one of the simplest nervous systems in nature. The hermaphrodite contains exactly 302 neurons and about 8000 connections. The Si elegans project aims at providing a reverse-engineerable model of this nematode by emulating its nervous system in hardware and embodying it in a virtual world. The hardware will consist of 302 individual FPGAs, each carrying a neuron-specific neural response model. The FPGA neurons will be interconnected by an electro-optical connectome to distribute the signal at the axonal output or gap-junction pin of an FPGA neuron onto the respective synaptic input or gap-junction pins of those target FPGA neurons that a neuron interconnects with. This technology will replicate the known connectome of the nematode to allow for an as biologically meaningful as possible and truly parallel information flow between neurons. This article focuses on the concepts and first implementation steps of such optical connectome.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hendrik Wöhrle, Johannes Teiwes, M. Tabie, A. Seeland, E. Kirchner, F. Kirchner
{"title":"Prediction of Movements by Online Analysis of Electroencephalogram with Dataflow Accelerators","authors":"Hendrik Wöhrle, Johannes Teiwes, M. Tabie, A. Seeland, E. Kirchner, F. Kirchner","doi":"10.5220/0005139400310037","DOIUrl":"https://doi.org/10.5220/0005139400310037","url":null,"abstract":"Brain Computer Interfaces (BCIs) allow to use psychophysiological data for a large range of innovative applications. One interesting application for rehabilitation robotics is to modulate exoskeleton controls by predicting movements of a human user before they are actually performed. However, usually BCIs are used mainly in artificial and stationary experimental setups. Reasons for this are, among others, the immobility of the utilized hardware for data acquisition, but also the size of the computing devices that are required for the analysis of the human electroencephalogram. Therefore, mobile processing devices need to be developed. A problem is often the limited processing power of these devices, especially if there are firm time constraints as in the case of movement prediction. Field programmable gate array (FPGA)-based application-specific dataflow accelerators are a possible solution here. In this paper we present the first FPGA-based processing system that is able to predict upcoming movements by analyzing the human electroencephalogram. We evaluate the system regarding computation time and classification performance and show that it can compete with a standard","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128281963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiao Li, Yuanyuan Wang, Qi Xu, Fang Chen, Jiping He
{"title":"Growth Mechanism of Rat Dorsal Root Ganglion Neurons on Slope Substrate","authors":"Xiao Li, Yuanyuan Wang, Qi Xu, Fang Chen, Jiping He","doi":"10.5220/0005132600150020","DOIUrl":"https://doi.org/10.5220/0005132600150020","url":null,"abstract":"Neural response to topography depends on the dimensions and shapes of physical features. Most researchers focused on fabricating different grooves and ridges to study cell adhesion, spreading, alignment, and morphological changes. Very few papers report about how sloped substrate influences the behavior of neural cells. In this paper, we made a preliminary experiment to test the reaction of neuronal growth processes to different slopes. We found that all DRG cells’ axons couldn’t grow across 90 degree slope with 198 μm height. A few axons grew across 90 degree slope with 50 μm height. In addition, we also found that DRG cells showed preference to grow uphill rather than downhill. In future, we will make more detailed experiments to study the mechanism of slope modulation. This study will be helpful for the construction of nerve regenerating scaffolds and neural interface.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Rodriguez-de-Pablo, J. Perry, S. Balasubramanian, A. Belloso, A. Savić, T. D. Tomic, T. Keller
{"title":"Serious Games for Assessment and Training in Post-stroke Robotic Upper-limb Telerehabilitation","authors":"C. Rodriguez-de-Pablo, J. Perry, S. Balasubramanian, A. Belloso, A. Savić, T. D. Tomic, T. Keller","doi":"10.5220/0005168601260134","DOIUrl":"https://doi.org/10.5220/0005168601260134","url":null,"abstract":"Research shows that better results in post-stroke rehabilitation are obtained when patients receive more intensive therapy. However, the increasing affected population and the limited healthcare resources prevent the provision of intense rehabilitation care. Thus, there is a need for a more autonomous and scalable care provision methods that can be transferred out of the clinic and into home environments. Serious games in combination with robotic rehabilitation can provide an affordable, engaging, and effective way to intensify treatment, both at the clinic and at home. Furthermore, they can offer quantitative assessment of motor performance, allowing individualized treatments and to keep the patient and their therapists informed about therapy progress. Towards this end, a set of games for assessment and training of upper-limb motor impairment after stroke with the ArmAssist is presented. A special effort has been made to design the assessment games in order to be able, not only to measure the effectiveness of the training, but also to compare the assessment results with the standard assessment scales used in the clinic. Feedback from usability testing of previous versions of the system has also been crucial for the final design. Preliminary results of an ongoing clinical testing are presented.","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130713765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Flynn, J. Geeroms, R. Jimenez-Fabian, B. Vanderborght, N. Vitiello, D. Lefeber
{"title":"Ankle-Knee Prosthesis with Powered Ankle and Energy Transfer - Development of the CYBERLEGs Alpha-Prototype","authors":"L. Flynn, J. Geeroms, R. Jimenez-Fabian, B. Vanderborght, N. Vitiello, D. Lefeber","doi":"10.5220/0004664702240228","DOIUrl":"https://doi.org/10.5220/0004664702240228","url":null,"abstract":"","PeriodicalId":167011,"journal":{"name":"International Congress on Neurotechnology, Electronics and Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114282213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}