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Neural Interfaces

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User Interfaces. Revolutionize UI. Applications: Neural Interface » The neurophotonic interface: stimulating neurons with light. Applications » Neural Interface The neurophotonic interface: stimulating neurons with light PDF version | Permalink Nir Grossman, Konstantin Nikolic, and Patrick Degenaar 28 February 2008 Remote neural control is performed with single-cell single-action-potential resolution. At the end of the 18th century, Luigi Galvani demonstrated that nerves could be excited with electrical stimuli. In 1971 Richard Fork showed that a high power laser can stimulate neurons by physically punching temporarily holes in their membranes. The neurophotonics interface Our group is mainly interested in using this ion channel as a novel type of neurointerface based on light instead of electricity. Figure 1. Light from a micro-LED stripe triggers action potentials in a ChR2-transfected neuron with single-cell single-spike resolution.

Figure 2. Microscope image of a blue 64 by 64 matrix light emitting diode where 2 rows of LEDs are turned on. The future There are many advantages in using light to interface with neurons. Biological neural network. In neuroscience, a biological neural network (sometimes called a neural pathway) is a series of interconnected neurons whose activation defines a recognizable linear pathway. The interface through which neurons interact with their neighbors usually consists of several axon terminals connected via synapses to dendrites on other neurons. If the sum of the input signals into one neuron surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon.

In contrast, a neural circuit is a functional entity of interconnected neurons that is able to regulate its own activity using a feedback loop (similar to a control loop in cybernetics). Early study[edit] Connections between neurons[edit] The connections between neurons are much more complex than those implemented in neural computing architectures. The basic kinds of connections between neurons are chemical synapses and electrical gap junctions.

Study methods[edit] Brain-Computer Music Interface - Hacked Gadgets - DIY Tech Blog. It is hard to imagine what will be possible with direct mind control in the next dozen years. Will we be driving cars with no steering wheel? Read the research paper (warning it is a PDF). “Researchers at the University of Plymouth created this “Brain-Computer Music Interface”, which uses two laptops to analyze brain waves and composes music based on the results. The BCMI-Piano (Figure 1) falls into the category of BCI computer-oriented systems. These systems rely on the capacity of the users to learn to control specific aspects of their EEG, affording them the ability to exert some control over events in their environments. Examples have been shown where subjects learn how to steer their EEG to select letters for writing words on the computer screen [5].

However, the motivation for the BCMI-Piano departed from a slightly different angle from other BCI systems. Via: TechEBlog. EEG headsets homemade. BCI. How to hack EEG toys with Arduino. Brain Computer Interface. Augmented Reality. NeuroTechCompanies. Brain-Computer Music Interface - Hacked Gadgets - DIY Tech Blog. Neuroinformatics. Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data.

Neuroinformaticians provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroscience is a heterogeneous field, consisting of many and various sub-disciplines (e.g., Cognitive Psychology, Behavioral Neuroscience, and Behavioral Genetics). In order for our understanding of the brain to continue to deepen, it is necessary that these sub-disciplines are able to share data and findings in a meaningful way; Neuroinformaticians facilitate this.[1] Neuroinformatics stands at the intersection of neuroscience and information science. There are three main directions where neuroinformatics has to be applied:[2] History[edit] List of emerging technologies. Agriculture[edit] Biomedical[edit] Displays[edit] Electronics[edit] Energy[edit] IT and communications[edit] Manufacturing[edit] Materials science[edit] Military[edit] Neuroscience[edit] Robotics[edit] Transport[edit] Other[edit] See also[edit] General Disruptive innovation, Industrial Ecology, List of inventors, List of inventions, Sustainable development, Technology readiness level Nano- Molecular manufacturing, Neurotechnology Bioscience Human Connectome Project Ethics Casuistry, Computer ethics, Engineering ethics, Nanoethics, Bioethics, Neuroethics, Roboethics Other Anthropogenics, Machine guidance, Radio frequency identification, National Science Foundation, Virtual reality Transport List of proposed future transport Further reading[edit] IEEE International Conference on Emerging Technologies and Factory Automation, & Fuertes, J.

References[edit] External links[edit] Brain–computer interface. A brain–computer interface (BCI), sometimes called a mind-machine interface (MMI), direct neural interface (DNI), synthetic telepathy interface (STI) or brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.

Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain–computer interface in scientific literature. The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. History[edit] Berger's first recording device was very rudimentary. He inserted silver wires under the scalps of his patients. Animal BCI research[edit] Invasive BCI. Brainwaves. Neurofeedback. Neural Interface Devices.

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