Queretaro, Mex.
Bienvenidos
¿Computadoras Cerebrales? El CEO de SpaceX y Tesla, Elon Musk, está financiando una empresa de interfaz cerebro-computadora llamada Neuralink, la cual se centra en la creación de dispositivos que se pueden implantar en el cerebro humano, con el propósito final de ayudar a los seres humanos a fusionarse con el software y mantener el ritmo de los avances en inteligencia artificial. Estos avances podrían mejorar la memoria o permitir una interface más directa con los dispositivos informáticos. Estos tipos de interfaces cerebro-computadora existen hoy sólo en la ciencia ficción. En el ámbito médico, las matrices de electrodos y otros implantes se han utilizado para ayudar a mejorar los efectos de la enfermedad de Parkinson, la epilepsia y otras enfermedades neurodegenerativas (como explica el artículo de The Economist líneas abajo). Sin embargo, muy pocas personas en el planeta tienen implantes complejos colocados dentro de sus cráneos, mientras que el número de pacientes con dispositivos estimulantes muy básicos llega a las decenas de miles. Esto se debe en parte a que es increíblemente peligroso e invasivo operar en el cerebro humano, y sólo aquellos que han agotado cualquier otra opción médica optan por someterse a dicha cirugía como último recurso.Esto no ha detenido un aumento del interés de futuristas de la industria de la tecnología en Silicon Valley que están interesados en acelerar el avance de este tipo de ideas. Kernel, una startup creada por Braintree, también está tratando de mejorar la cognición humana. Con más de 100 millones de dólares, el empresario Bryan Johnson vendió Braintree a PayPal por alrededor de 800 millones de dólares en 2013. Kernel y su creciente equipo de neurocientíficos e ingenieros de software están trabajando para revertir los efectos de las enfermedades neurodegenerativas y, eventualmente, lograr que los cerebros sean más inteligentes y más interconectados. Fuente: Lupus News Today "Sabemos que si colocamos un chip en el cerebro y liberamos señales eléctricas, podemos mejorar los síntomas del Parkinson", dijo Johnson en una entrevista. Johnson también confirmó la participación de Musk con Neuralink. "Esto se ha hecho para el dolor de la médula espinal, la obesidad, la anorexia... lo que no se ha hecho es la lectura y escritura del código neural". Johnson dice que el objetivo de Kernel es "trabajar con el cerebro de la misma manera que trabajamos con otros sistemas biológicos complejos como la biología y la genética". La stratup Kernel es bastante transparente, admitiendo que tomará años de investigación médica para comprender mejor el cerebro humano y las nuevas técnicas de cirugía, métodos de software y dispositivos de implante que podrían hacer realidad una interfaz de cerebro-computadora. La verdad es que los obstáculos involucrados en el desarrollo de estos dispositivos son inmensos. Los investigadores de la neurología dicen que tenemos una comprensión muy limitada sobre cómo se comunican las neuronas en el cerebro humano, y nuestros métodos para recopilar datos sobre esas neuronas es rudimentario. Luego está la idea de que las personas se ofrezcan voluntariamente a colocar estos experimentos dentro de sus cabezas. "La gente sólo va a ser susceptible a la idea [de un implante] si tienen una condición médica muy seria", afirma Blake Richards, un neuro-científico y profesor asistente de la Universidad de Toronto. "La mayoría de las personas sanas se sienten incómodas con la idea de que un doctor les abra el cráneo". Sin embargo, ha habido ciertos #breakthroughs”. El año pasado, científicos de MIT lograron usar luz para activar neuronas de ratones genéticamente modificados e implantarles una memoria falsa en el cerebro. Todavía falta mucho para que podamos hacer lo mismo con los seres humanos, pero podríamos ver una extensión de la tecnología del electroencefalograma que pueda determinar en qué momento el cerebro de cierta persona se encuentra en el estado más receptivo para el aprendizaje. Fuente: Diario Frontera Por otro lado, científicos en la Universidad de Princeton han estudiado a parejas tanto con electroencefalogramas como con imágenes cerebrales y han demostrado que cuando dos personas se están comunicando, hablando y entendiéndose mutuamente, sus cerebros se encuentran literalmente en las mismas ondas cerebrales. No sólo eso: los patrones de la onda cerebral del oyente comienzan a preceder los patrones de la onda cerebral de su interlocutor. Uno comienza a anticipar las ondas cerebrales del otro. Este tipo de información tendrá un impacto profundo en la manera que las personas interactúan. Cuando las personas estemos conectadas con el internet, con las bibliotecas del mundo, con todo tipo de información al alcance de un nanosegundo, las posibilidades son infinitas. Poseer ese tipo de información cambiará todas las dinámica actuales de interactuar y de toma de decisiones. Las oportunidades son infinitas. Lampadia
Instalacion Equipo semanal
Neurología, neurologia, queretaro, mexico, 442, QRO, +52 442, Querétaro, Santiago de Queretaro, neurocirujano, interfaz
*Neurologist* is the prototype of a computer system for neurologic diagnosis. The design philosophy for the system is that physicians are most likely to accept computer diagnostic aids which arrive at conclusions in “human-like” fashion and which are able to explain their reasoning and answer questions. *Neurologist* employs anatomic, physiologic, or biochemical localization with mode of disease onset to generate diagnostic hypotheses. A frame based disease representation is then used in hypothesis testing. The system currently includes 150 diagnoses and 1000 symptoms and signs, is readily expandable, and explains its conclusions in words and drawings, and answers user queries.
Some 165 million Europeans are likely to experience some form of brain-related disease during their life. As the population ages, Alzheimer's disease and other neurodegenerative or age-related mental disorders are affecting more people and contributing to higher health costs. a picture illustrating the story Finding better ways of preventing and treating brain diseases is therefore becoming urgent, and understanding how our brains work is important to keep our economies at the forefront of new information technologies and services. EU-funded research is answering these challenges. As mentioned in the first part of this article, this May the European Commission announced EUR 150 million of funding for 20 new ICT research projects expected to deliver new insights and innovations relating to traumatic brain injury, mental disorders, pain, epilepsy and paediatric conduct disorders. The European Commissioner for Research, Innovation and Science, Máire Geoghegan-Quinn has said, ''Treating those affected (by brain-related disease) is already costing us EUR 1.5 million every minute […] Brain research could help alleviate the suffering of millions of patients and those that care for them. Unlocking the secrets of how the brain works could also open up a whole new universe of services and products for our economies.'' Treating neurological diseases Stroke is the most common neurological disease to afflict people, causing cognitive problems - such as difficulties with attention, memory or language - or severe physical disability. The incidence increases with age, making it the most frequent cause of life-long impairment in adulthood. These effects tend to increase patients'' dependence on other people, and this lost autonomy can then lead to depression. The CONTRAST project seeks to bridge the gap between institutional rehabilitation and monitoring of the patient at home. The project is developing an adaptive ''human-computer interface'' (HCI) to improve cognitive functioning, offering training modules that improve the recovery of attention and memory. Patients will be able to go through an individually tailored rehabilitation process at home at the computer, while their doctor provides home-based training and monitors their progress from the clinic. A third of stroke patients will experience long-term physiological or cognitive disabilities - preventing them from maintaining independent lives. COGWATCH aims to enhance the rehabilitation of stroke patients with symptoms of ''apraxia and action disorganisation syndrome'' (AADS). Such patients retain their motor capabilities but commit cognitive errors during every-day goal-oriented tasks. The project is developing intelligent tools and objects, portable and wearable devices, and ambient systems to provide personalised cognitive rehabilitation at home for stroke patients with AADS symptoms. By providing persistent feedback, the system will help to re-train patients on how to carry out the everyday activities they need to be independent. Parkinson''s disease is another neurodegenerative disorder that is growing in incidence as our population ages - it particularly affects areas of the brain that are involved in movement control. The CUPID project aims to develop innovative, personalised rehabilitation at home for people with Parkinson''s disease, based on the patient''s needs. The CUPID service will employ wearable sensors, audio biofeedback, virtual reality and external cueing to provide intensive motivating training that is suited to the patient and monitored remotely - decreasing the need for travel to a rehabilitation centre. By the end of its first year, in December 2012, the project had designed the rehabilitation exercises and developed prototype virtual games for these exercises, as well as the telemedicine infrastructure needed for remote supervision. Epilepsy is another common neurological disorder that, despite progress in treatment, is still incurable. Nowadays, pharmaceutical treatment can reduce or remove the symptoms, but this needs life-long continuous adjustment in order to be effective. The condition therefore requires monitoring of multiple parameters for accurate diagnosis, prediction, alerting and prevention, as well as treatment follow-up and presurgical evaluation. The ARMOR project is designing a more holistic, personalised, medically efficient and economical monitoring system to analyse brain and body data from epilepsy patients. This portable system will provide more accurate diagnosis for individual patients, and allow better understanding and prediction of the time and type of their seizures - helping to give a warning and ensure the availability of medical assistance and advice if necessary. Amputation of a limb is not just a traumatic physical experience. It can also lead to sensations - usually accompanied by pain - that seem to come from the missing body part, called a ''phantom limb''. The TIME project is developing an alternative treatment for phantom limb pain based on a new ''human-machine interface'' (HMI) and selective, electrical stimulation of the peripheral nerves. Using an implantable electrode placed inside the nerve, and electrical stimulators placed outside the body, the system will provide electrical micro stimulation to help reduce painful sensations - and may even have applications such as enabling amputees to sense virtual environments by touch. Seeing things The potential of such techniques doesn''t stop at monitoring, diagnosis and managing chronic conditions. The OPTONEURO project could ultimately help return functional sight to blind people. ''Optogenetics'' is an exciting new gene therapy technique that makes nerve cells sensitive to particular colours of light. Simple pulses of intense light cause these photosensitised nerve cells to fire ''action potentials'', the carriers of information in the nervous system. To activate the nerve cells, however, the new therapy depends on high illumination densities - bright light shining on very small areas. The OPTONEURO project therefore aims to develop the complementary optoelectronics needed to stimulate these photosensitised neurons. The system would be scalable for applications both in basic neuroscience research and in ''neuroprosthesis''. In particular, the optoelectronics should be used in a future optogenetic-optoelectronic retinal prosthesis - an artificial eye - for those blinded by the ''retinitis pigmentosa'' disease. The project requires a team of specialists in photonics, micro-optics and neurobiology to develop an array of ultra-bright electronically controlled micro-LEDs, which could also provide a new research tool for the neuroscience and neurotechnology community. The SEEBETTER project is also looking to develop artificial vision prosthetics for the blind. Conventional image sensors have severe limitations, but ''silicon retina'' vision sensors aim to mimic the biological retina''s information processing - computing both spatial and temporal aspects of the visual input. To date, these silicon retinas suffer from low quantum efficiency - meaning low light sensitivity - and an inability to combine both spatial and temporal processing on the same chip. SEEBETTER''s team of experts - from biology and biophysics, as well as biomedical, electrical and semiconductor engineering - aim to use genetic and physiological techniques to understand better the function of the retina and model the retina''s vision processing. They will then design and build the first high-performance silicon retina, implemented on a single silicon wafer, specialised for both spatial and temporal visual processing. Understand the neurobiological principles of seeing - beyond the functioning of the retina alone - may help us to replicate the success of human vision for computers and robots. The RENVISION project aims to achieve a comprehensive understanding of how the retina encodes visual information through the different cellular layers and to use such insights to develop a retina-inspired computational approach to computer vision. Using high-resolution 3D microscopy will allow the researchers to make images of the inner retinal layers at near-cellular resolution. This new knowledge on retinal processing will help develop advanced pattern recognition and machine-learning technologies. The project could therefore solve some of the most difficult tasks in computer vision - such as automated scene categorisation and human action recognition - so that robots and computers can see and perceive what is happening in the images they receive. These are just some of the EU-funded ICT projects using electronics and computing technologies to understand, augment and improve the human brain and its functioning. The results have the potential to reduce the impact of disability and disease, and improve our computing power, IT infrastructure and economy. The projects featured in this article have been supported by the Competitive and Innovation Programme''s (CIP) ICT-Policy Support scheme or the Seventh Framework Programme (FP7) for research.
Abstract Attention is drawn to the help that computers can give to the neurophysiologist and the electroencephalographer, not only in the study of normal man and animal, but additionally in the clinical case. Outlined are computer techniques for autocorrelation, crosscorrelation, detection of evoked responses in background activity of higher amplitude, and information about variability. Examples illustrative of these procedures are drawn from animal experimentation, from normal subjects, and from clinical neurophysiology.
Principles of Neurology Raymond D. Adams, Maurice Victor Published 1996 Medicine This book covers broad aspects of clinical neurology necessary fro clinical practice. The organization is unique, starting from patient approach, cardinal manifestations of neurological disease, to specific neruological diseases. New developments in neurology, such as molecular neurology and genetics, are incorporated in this edition. The inherited metabolic, congenital, developmental, and psychiatric disorders are largely emphasized. .
Asesoramos en digitalizar los procesos y almacenamiento de datos, asi como suacceso, implementando procedimientos y/o hardware necesario, ayudando a la optimizacion de la informacion de tu empresa,u obtener el mejor rendimiento de ya instalado.
Para mas información contactanos por los diferentes medios.
Contact