A Colorado man has been arrested and charged after he allegedly threw water on Iowa 4th District Congressman Steve King Friday afternoon in Fort dodge.Fort Dodge Police say King was eating lunch with a group of people at a restaurant when he was approached by the suspect, identified as 26-year-old Blake Gibbins of Lafayette, Colorado.Police say Gibbins asked King who he was and when King replied, Gibbins threw a glass of water on him.Gibbins is charged with simple assault and disorderly conduct, both misdemeanors.
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. PausePlay% buffered00:0000:00UnmuteMuteDisable captionsEnable captionsSettingsCaptionsDisabledQuality0SpeedNormalCaptionsGo back to previous menuQualityGo back to previous menuSpeedGo back to previous menu0.5×0.75×Normal1.25×1.5×1.75×2×Exit fullscreenEnter fullscreen Play This video provides a brief introduction to Spaun, showing the model’s ‘neural’ activity superimposed onto an illustration of a human brain. Credit: Chris Eliasmith, et al. These tasks are simple, but they capture many features of neuroanatomy and physiology, including abilities to perceive, recognize and carry out required behaviors. They also require an enormous amount of computing power, with the computer needing two hours of processing time for each second of Spaun simulation.The most surprising feature about Spaun, according to Prof. Eliasmith and colleagues is that it has human-like flaws. For example, it has trouble remembering lists of numbers when they are too lengthy, and is better at remembering numbers at the beginnings and ends of lists. It also hesitates before answering questions, just as humans do. These flaws may be useful in future robots, Eliasmith said, as they would make robots seem more human-like and therefore easier to interact with. Journal information: Science Explore further PausePlay% buffered00:0000:00UnmuteMuteDisable captionsEnable captionsSettingsCaptionsDisabledQuality0SpeedNormalCaptionsGo back to previous menuQualityGo back to previous menuSpeedGo back to previous menu0.5×0.75×Normal1.25×1.5×1.75×2×Exit fullscreenEnter fullscreen Citation: Spaun, the new human brain simulator, can carry out tasks (w/ video) (2012, November 30) retrieved 18 August 2019 from https://phys.org/news/2012-11-spaun-human-brain-simulator-tasks.html More information: A Large-Scale Model of the Functioning Brain, Science 30 November 2012: Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266ABSTRACTA central challenge for cognitive and systems neuroscience is to relate the incredibly complex behavior of animals to the equally complex activity of their brains. Recently described, large-scale neural models have not bridged this gap between neural activity and biological function. In this work, we present a 2.5-million-neuron model of the brain (called “Spaun”) that bridges this gap by exhibiting many different behaviors. The model is presented only with visual image sequences, and it draws all of its responses with a physically modeled arm. Although simplified, the model captures many aspects of neuroanatomy, neurophysiology, and psychological behavior, which we demonstrate via eight diverse tasks.Download the Spaun modelVideos for Spaun simulationsPress release ‘Chatter Box’ computer will unravel the science of language A high-level depiction of the Spaun model, with all of the central features of a general Semantic Pointer Architecture. © 2012 Phys.org (Phys.org)—One of the challenges of understanding the complex behavior of animals is to relate the behavior to the complex processes occurring within the brain. So far, neural models have not been able to bridge this gap, but a new software model, Spaun, goes some way to addressing this problem. Play This video shows Spaun’s ‘neural’ activity during four different tasks and explains how the researchers decoded it. Credit: Chris Eliasmith, et al. Eliasmith said Spaun is the first simulator of the brain to be able to complete a series of tasks and demonstrate behaviors, even though bigger brain models have been built in the past, such as that built by the Blue Brain Project, with a million neurons, and SyNAPSE (IBM) with a billion simulated neurons. Spaun is more similar to the human brain than previous models, Eliasmith said, and it could therefore be used in the study of some brain disorders. In a recent experiment, for example, he examined the effects of neurons “dying off,” in a simulation of aging of the human brain; an experiment that would have been unethical if using human subjects. The model might also be useful in the development of multi-task artificial intelligence applications, and robotics.Spaun does have its limitations because at present it can only carry out the tasks given it and cannot learn anything new, and because of its lengthy computer processing time. The research paper was published in the journal Science. The Semantic Pointer Architecture Unified Network (Spaun) is a computer model of the human brain built by Professor Chris Eliasmith and colleagues of the University of Waterloo in Canada. It comprises around two and a half million virtual neurons organized into functional groups rather like real neurons in regions of the human brain associated with vision, short-term memory, and so on. (The human brain has roughly 100 billion neurons.) Spaun is presented with a sequence of visual images in eight separate tasks. It then processes the information presented to it and then decides what action to take. It can recognize and remember numbers written in different handwriting, and can copy them using a mechanical arm. Spaun can also answer questions about numbers and complete number series after seeing examples.
Understanding the urgent need for Asian countries to look at non-communicable diseases seriously, Vietnam National Institute of Hygiene and Epidemiology (NHE) in association with International Development Research Centre (IDRC) has organised a workshop on ‘Tackling diet-related non-communicable diseases in Asia: A regional approach to improve response capacities.’ The workshop which started on November 19, will go on until November 22 at Hanoi, Vietnam. Also Read – Add new books to your shelfIn a first-ever training workshop, researchers and policy makers from over 10 countries will draw up an action plan to tackle diet-related NCDs through a contextual understanding of regional challenges. Participants include researchers and policymakers from China, Mongolia, Southeast, and South Asia, namely, SriLanka, India, Bangladesh, Nepal, Vietnam, Indonesia, the Philippines, Thailand, Cambodia, Lao People’s Democratic Republic, and Malaysia. Also Read – Over 2 hours screen time daily will make your kids impulsiveThe workshop training will cater to pre-defined needs of each country participant as they highlight their experiences related to the challenges of improving food environments via research/interventions and advocacy/policy influence. Throughout the training activities, participants will work together to develop and refine new and existing multi-country research proposals aimed at improving food environments. Developing countries, which include low and middle income (LMIC) nations are battling a double burden of disease. On one hand, they are fighting infectious diseases such as AIDS, tuberculosis, and malaria and on the other, losing an alarmingly high number of lives to non-communicable diseases (NCDs) such as cardiovascular disease, cancer, mental illness, and diabetes. Of even more concern is the fact that NCD risks associated with diet are increasing in younger age groups. NCDs pose long-term economic burdens on society directly through acute and long-term morbidity management and indirectly through impaired capacities. Despite the loss of human life, productivity and crippling of resources, the generation of regional research has been limited in LMICs with most of the evidence-based research being derived from high-income countries. There is, therefore, need for greater research in the broader Asian region to understand contextual drivers of rising NCD trends to develop appropriate and sustainable interventions.