neural

Bionic and Bio-ionic Neural Interfaces Open your eyes to the latest developments in retinal prosthesis, which could restore vision to patients suffering from diseases such as age-related macular degeneration and retinitis pigmentosa. Luke Theogarajan of MIT discusses the two leading approaches to retinal prosthesis, a novel bio-ionic neural interface and one that is electrically based, and the hope it holds for researchers and patients alike. To see more videos from the University of Washington visit .

Forex Trading System - Candlestick Trading Series 2 - Candlestick Trading Series video 2 - Understanding candlesticks as they apply to the Forex market. We will cover the most basic to advanced. Keep checking back for new videos.

Aquila running mutiple time-scales recurrent neural network on iCub humanoid robot This video demonstrates how Aquila trains and runs multiple time-scales recurrent neural networks used to control humanoid robot iCub (http in real time. The results shown in this video are from the initial tests only and are meant to demonstrate the potential of neural system (based on Jun Tani's architecure) as well as the massive speed-ups achieved by running the network on parallel CUDA devices such as the latest NVidia Fermi architecture. I am currently working on extending the neural system with additional modalities dealing with vision, extra proprioception as well as language so keep eyes on my site for new results. I reckon it is going to get more interesting as we proceed farther with our investigation into how actions and language co-develop in the brain.

StarCraft 2 - Neural Parasite Quotes Compilation A compilation of quotations from units under control of the Infestor's Neural Parasite ability. Units featured in this video: Archon (0:00) Carrier (0:19) Corsair (0:41) Dark Templar (0:59) High Templar (1:21) Immortal (1:39) Phoenix (2:02) Scout (2:19) Stalker (2:45) Void Ray (3:07) Zealot (3:29) Banshee (3:48) Diamondback (4:02) Firebat (4:21) Ghost (4:39) Goliath (4:56) Hellion (5:15) Hercules (5:32) Marauder (5:52) Marine (6:08) Medic (6:27) Medivac (6:46) Reaper (7:03) Science Vessel (7:21) SCV (7:42) Siege Tank (8:00) Spectre (8:21) Thor (8:37) Viking (8:54) Vulture (9:10) Wraith (9:29) Tauren Space Marine (9:45) READY: "Assimilation successful!" SELECTED: "Your command?" "Awaiting directive!" ATTACK: "For the Swarm!" "I obey!" DEATH: "Service complete."

Autonomous walking robot (AMOS-WD06) under neural control The AMOS-WD06 (Advanced Mobility Sensor Driven-Walking Device) is the reactive 6-legged walking machine which mimics the structures of walking animals. This walking machine driven by modular neural control can autonomously perform reactive behaviors, eg wandering around, avoiding obstacles, escaping from deadlock situations or corners, reflex action (standing in an upside-down position) and escape behavior (run away from a stiking predator). It can serve as a hardware platform for experiments concerning the function of a neural perception-action system. More at

Cracking the Neural Code From treating depression and Alzheimer's to decoding how thinking and emotions work, Stanford researchers are starting to "crack the code" for how the nervous system creates our mental lives. Stanford University: www.stanford.edu The Stanford Challenge: thestanfordchallenge.stanford.edu Stanford University Channel on YouTube:

Neural Network learning (recorded Java Applet) "The task of this neural net is to span its map over all blue points (the input values of the net) in an even way and without crossing one point twice. This problem is similar to the classic Travelling Salesman Problem, where the shortest path between a certain number of cities is to be found without passing one city twice. Using conventional methods, like the backtracking algorithm, this problem can't be solved on any computer in time for a number of cities greater than about 25" To learn more about neural networks or to see the applet look yourself at: fbim.fh-

Neural Wheelchair Control Demonstration of an electric wheelchair under control of an Emotiv EEG/EMG headset. The control system developed by Cuitech, detects when the user winks or smiles, and translates these signals into commands to control the wheelchair.

Building Brains: The Molecular Logic of Neural Circuits Thomas M. Jessel, Howard Hughes Medical Institute Investigator, explores the human brain, the sophisticated product of 500 million years of vertebrate evolution, assembled during just nine months of embryonic development. The functions encoded by its trillion nerve cells direct all human behavior. Yet the brain is a biological organ made from the same building blocks as skin, liver and lung. How does the brain acquire its remarkable computational power? Answers lie in the details of its construction -- the cellular and molecular mechanisms that drive the formation of thousands of neural circuits, each wired for a specific behavior.

Neural Robotics Shotgun Autocopter Read more at and www.neural-

Noiseball Neural Network (fractal zoom) Watch this video in HD on YouTube at Fractalzoom animation by Eric Bigas. No sound. 2001. This animation is a continuous zoom into a graph of a fractal mathematical function. It was drawn and animated entirely by interpolation of the function's parameters. No editing or image processing was used. The shapes in the animation are geometric visualizations of numeric patterns created by calculating the function. A larger and higher-quality version is available at * 640 x 360 pixels * Free download * MPEG-1 (.mpg) format. Plays on any computer. No additional software is required.

BattleHand Neural Drive Endurance Training This is BattleHand Neural Drive endurance combat conditioning, conducted at the Spartan Training Center in Sedona, AZ. This is not indoor gym training: it is not comfortable, there is no air conditioning. This type of circuit is hard, exhausting, and explosive. This video highlights one of our Assistant Instructors doing exercises in 100+ degrees in Northern Arizona. These workouts can be done "slick" (as in gym shorts and bare feet) or in a fighting loadout (with anything from utilities to plate carrier to LBE to backpack). For more information check us out on facebook by doing a search for "Spartan Training Center;" more videos and discussion on our training is on that group page. As well, feel free to contact us through .

NIST Colloquium Series: Next Generation Neural Implants Yu-Chong Tai, Director, Caltech Micro Machining Laboratory, California Institute of Technology discusses research in the use of neural implants such pacemakers and electronic cochlear implants. Dr. Tai reviews progress on the next generation of implants which must be miniature, flexible, and highly functional for muscular, retinal, cortical, and spinal use.

UCSD Conversations: China ArtsBridge and Neural Regeneration Guest host Michael Parrish leads off the program with historian Paul Pickowicz and sociologist Dick Madsen talking about pop culture in China. Then take a look at the University of California's ArtsBridge program in San Diego and get an update on Mark Tuszynski's research on neural regeneration. Series: "UCSD Conversations" [3/2002] [Humanities] [Show ID: 6021]

Module 1 Lecture 1 Linear Neural networks Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. For more details on NPTEL visit nptel.iitm.ac.in

Noninvasive Regeneration of Adult Neural Stem Cells Animation highlighting Stem Cell Therapeutics Lead program NTxTM-265 for treatment of Strokes.

Introduction to Neural Networks for C# (Class 1/16, Part 1/3) Learn Neural Net Programming: Introduction to Neural Networks with C# is a course that introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures will be presented. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples will be examined that include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots.

The Development and Neural Bases of Face Processing Prior to the onset of language, most communication between infants and caregivers takes place through non-verbal channels, particularly face reading. Charles Nelson of Harvard University and Boston Children's Hospital explores how this ability develops focusing on the cognitive neuroscience literature. Series: "MIND Institute Lecture Series on Neurodevelopmental Disorders" [8/2006] [Health and Medicine] [Professional Medical Education] [Show ID: 11857]

Neural Impulse 3D Animation 3D animation of a neuron and an action potential. Ion channels in the soma open and allow an increase in the intracellular voltage. Once the voltage reaches a threshold, an action potential is generated, which travels the length of the axon and passes into the terminals. The voltage in the terminals stimulate the release of neurotransmitters which cross the synapse, opening ion channels in dendrites of the post-synaptic neuron and increasing the voltage of the second neuron. By Stephen Hicks, 2006.

Neural Networks Lesson 1: Single-Layer Perceptrons This neural networks video lesson demonstrates how a single-layer perceptron works, is programmed, and can be used to ***yze data. Please submit all questions to our forum:

EVE Online: Incursion Devblog #2 - Neural Remaps and Skill Points: Listening to the Players EVE Online Incursion Devblog #1 - Neural Remaps and Skill Points: Listening to the Players with Arnar Hrafn Gylfason, Senior Producer of EVE Online. Arnar talks to us about the proposed plex remap feature and how the CSM influenced the decision to halt the change.

Neural Microelectronics A guy can now move a prosthetic arm by thinking about it.

Lec-1 Introduction to Artificial Neural Networks Lecture Series on Neural Networks and Applications by Prof.S. Sengupta, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in

Personal Growth Series: Karl Deisseroth on Cracking the Neural Code: Speaking... Google Tech Talks November 21, 2008 ABSTRACT Personal Growth Series: Cracking the Neural Code: Speaking the Language of the Brain with Optics The technological seeds of a Manhattan project-style scientific enterprise, the optical reverse-engineering of brain circuits to crack the neural code, have recently been planted at Stanford. The brain is a high-speed dynamical system consisting of different players that are intertwined and that cannot be separately controlled using conventional methods. For this reason, until recently we have not been able to speak the language of the brain (with millisecond timescale and cell-specific resolution), and in 1979 Francis Crick called for a technology by which all neurons of just one type could be controlled, "leaving the others more or less unaltered". Tools from the Deisseroth laboratory at Stanford over the past four years have responded to this challenge. These include optical technologies for controlling neural circuits, using precisely-targeted delivery of light energy of different colors that is captured by neurons using nanoscale protein-based antennae, resulting in controlled activity of just the targeted cell types with millisecond precision. Light is delivered by fiberoptics; while light encounters all cell types, only the desired cell type is light-sensitive and responds. Using different optogenetic probes, cells can be turned on or off with millisecond precision and in different combinations. These tools have now been used ...

generative art from neural networks Jonathan McCabe's artificially evolved systems art "The patterns are made by repeated foldings, rotations and shifts, and then each point is coloured depending on its positions during the operation. A process of artificial evolution was employed to develop the final images, involving repeated variation, selection and "cross breeding" of the recipes used to generate the images." sf.anu.edu.au

Neural Synapse Neural synapse. Acetlycoline

Neuroanatomy Tutorial 33 (General Neural Pathways) General Neural Pathways

Neural Stem Cells Reverse Alzheimer's-Like Symptoms Researchers at the University of California, Irvine have reversed Alzheimers-like symptoms in mouse models of the disease with injections of neural stem cells. The first author, Mathew Blurton-Jones, has a Training grant from the California Institute for Regenerative Medicine. The lead author, Frank LaFerla, has a SEED grant and an Early Translational grant from CIRM.

The Next Generation of Neural Networks Google Tech Talks November, 29 2007 In the 1980's, new learning algorithms for neural networks promised to solve difficult classification tasks, like speech or object recognition, by learning many layers of non-linear features. The results were disappointing for two reasons: There was never enough labeled data to learn millions of complicated features and the learning was much too slow in deep neural networks with many layers of features. These problems can now be overcome by learning one layer of features at a time and by changing the goal of learning. Instead of trying to predict the labels, the learning algorithm tries to create a generative model that produces data which looks just like the unlabeled training data. These new neural networks outperform other machine learning methods when labeled data is scarce but unlabeled data is plentiful. An application to very fast document retrieval will be described. Speaker: Geoffrey Hinton Geoffrey Hinton received his BA in experimental psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at Sus*** University and the University of California San Diego and spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the ...

Risk: The Neural Basis of Decision Making Lecture presented by Professor John O'Doherty for the Darwin College Lecture Series 2010. A deeper understanding of how the brain makes decisions will not only inspire new theories of decision making, it will also contribute to the development of genuine artificial intelligence, and it will enable us to understand why some humans are better than others at making decisions, why humans with certain psychiatric and neurological disorders are less capable of doing so, and why under some circumstances humans systematically fail to make rational decisions. Most decisions made in everyday life are taken for the purposes of increasing our well-being, whether it is deciding what item to choose off a restaurant menu, or deliberating over what career path to follow. Prominent amongst these is the value or utility of each decision option, which indicates how advantageous a particular option is likely to be for our future well-being. Another relevant signal present in the brain is the riskiness attached to a particular decision option, which can influence the decision making mechanism according to ones own individual preferences (whether one is risk-seeking or risk-averse).

Brains-on with the OCZ Technology Nia (Neural Impulse Actuator) LAPTOP Magazine goes brains-on with the OCZ Nia, a revolutionary game controller that lets you rush in the fray using the power of your mind.

Evolution of an Artificial Neural Network to control a crawling robot. I designed and created this robot (Lola) for my a senior design class. I wanted to look at learning and control so I choose to use an Artificial Neural Network (ANN) as my controller/brain.The way it worked was that the robot has six sensors. These sensors fed into the input layer of the ANN. The information propogated through the network and would come out of the output nodes. The output nodes would then control the speed ad direction of the main servos controlling the arm. In order to find the right weights and topologies to get the ANN to read in the sensors and then actuate the servos to produce crawling behavior, I used an genetic algorithm to evolve an ANN. The genetic algorithm I used is called NEAT. I read about it from a paper called "Competitive Coevolution through Evolutionary Complexificaition" by Kenneth Stanley. If you search in google the first link will take you to the paper. I plan on putting up at least one more video which shows how the ANNs are producing the crawling behavior. If anyone knows of a free and easy to use movie maker that allows me to play two movies side by side please let me know. But please comment or send me messages and tell me what you guys think. Update (6/5/10) Here's a link to the paper. If you guys like it and want to use something from it please ask and/or cite. I'm more than happy to talk to people about it and see the work continued. www.engin.swarthmore.edu/e90/2008/reports/Roby%20Velez.pdf

Starcraft 2 Neural Parasite into Vortex Nuke During a 2v2 match, we were losing but ended the game in spectacular fashion. replay:

Brain Aging and Neural Systems: Insights From Imaging ICNC Seminar Speaker: William Jagust Lawrence Berkeley National Laboratory, CA-USA ICNC lecture hall (Silverman Bldg., Wing 3, 6th floor - Edmond J. Safra Campus) May 06, 2010, at 17:00 Abstract: Roland Forum of Brain Repair 2010 Recent studies using a multimodal approach to brain imaging have enabled the study of biochemistry, anatomy, and brain function in the same individuals. In our laboratory, we have used PET imaging to investigate age-related alterations in the brain's dopamine system as well as deposition of beta-amyloid in cognitively intact older people. Both of these biochemical processes produce changes that can be detected with MRI methods including structural imaging, resting BOLD imaging of large-scale resting state networks, and fMRI studies of brain activity. These structural and functional changes, in turn, are related to cognitive decline in healthy older people. This approach can help to define specific systems that are affected by specific underlying processes that cause age-related cognitive decline. icnc.huji.ac.il filmed by the Center for Multimedia Assisted Instruction multimedia.huji.ac.il

The Neural Circuitry of Perception & Genetic and Hormonal Influences on Cognition A Google Tech Talk May 5, 2010 ABSTRACT Presented by Michael Goard, PhD, and Emily Jacobs, PhD. The majority of the human brain is comprised of a single structure, the neocortex, responsible for a range of cognitive functions, from sensory perception to abstract thought. However, despite this diversity of functions, the neocortex has a simple architecture it is comprised of numerous repeated motifs of a single stereotyped neural circuit. This talk will serve as an introduction to the structure and function of the neocortical circuit, particularly focusing on how it processes sensory input in order to generate cohesive perception of the external world. This will be followed by a description of recent experiments demonstrating how the neocortex can process sensory input in different ways depending on the behavioral state of the animal. Finally, there will be a discussion of how understanding neocortical function will lead to innovations in medicine, computing, and artificial intelligence. The study of neuroscience is devoted to understanding how the brain functions uniformly across members of a species, but a critical question centers on how cognitive processes differ between members of a species, or in an individual under varying environmental conditions. In short, why do some people excel where others falter? This talk introduces two factors that contribute to individual differences in cognition: genes and hormones. This concept is examined through recent experiments ...

Lecture - 27 Learning : Neural Networks Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department of Computer Science & Engineering, IIT Kharagpur. For more Courses visit nptel.iitm.ac.in

GDP - Neural Circuitry GDP "Useless Eaters" available 3/29/11 pre-order now at bit.ly

Evolving Artificial Neural Network DISCLAIMER: This video is boring to the average YouTube viewer. Basically this was an assignment for a class, wanted to get it up on YouTube in case the TA wanted to see it. In the rare case anyone cares to see this video, these X-Wings (the only free model I could find that wasn't ugly as hell) are controlled by a neural network. 4 inputs, a hidden layer of 3 nodes, and 4 output nodes. I could reduce the outputs down to 2, but it's too late for that now (I'll do it in the next project).

BrainGate Neural Interface This brief newsclip describes one form of brain computer interface with implanted electrodes and a trial of its use with a paraplegic man.

OCZ NIA Neural Impulse Actuator Plus Brain Mouse Demonstration Pong Linus Tech Tips I play pong. With my brain!