Organised by Leuven.Inc in cooperation with imec. Powered by VIB.
Brain implants have become an important tool to treat neurodegenerative diseases. Nearly hundred thousand people suffering from brain impairment (Parkinson’s disease, epilepsy, depression,...) have been helped with either a cellular or an electronic brain implant.
In most therapeutic brain implants an external signal is applied to stimulate the brain. In reverse, signals generated by the brain can be detected as well. A combination of recording and stimulating simultaneously is possible. This allows to 'close the loop', sending a responsive signal to the brain, based on input from the brain itself. This requires processing and interpreting brain signals by virtue of an external miniaturized classical computer.
Thanks to the increase in neurophysiology and computer processing power in the last decade, enormous progress in the application of brain implants has been made. For example, mind machine interface technology has made it possible for a paralyzed human being to drink coffee by means of brain signal based robotic control.
In this symposium, which is also a NERF outreach program intended for the general public, we will introduce the 'Mind Machine Interface' and illustrate two state-of-the-art applications.
NERF is a neuro-electronics research initiative in Flanders founded by VIB, imec and KU Leuven, targeting at new medical applications for the diagnosis and treatment of brain disorders or malfunction.
Date: Wednesday 24 April, 2013
Location: imec, auditorium, Kapeldreef 75, 3001 Leuven (Heverlee)
|16h30:||Welcome by Leuven.Inc|
Emre Yaksi, NERF Director and Prof. Neurophysiology KU Leuven
|16h55:||Current and future technologies for simultaneous recording and analysis of brain cell activity
Bruce McNaughton, Principal Investigator University of Lethbridge, Canada and visiting Neuroscientist at NERF
Introduction to the recording of signals from specific areas of the brain
|17h25:||Reliving your experiences: memory processing in the brain
Fabian Kloosterman, Neuroscientist KU Leuven and Principal Investigator at NERF
Illustration of how brain signals can be understood and interpreted to read a rodent's mind
|18h20:||How brain networks make us intelligent
Francesco Battaglia, Neuroscientist University of Nijmegen and visiting Neuroscientist at NERF
Insight in real time computation and processing of the massive amount of data emerging from the brain and how to turn this into a useful feedback signal
|18h50:||Neurostimulation for epilepsy, from the bench to the patient
Paul Boon, Prof. Neurology University of Ghent
Explanation of the use of the closed loop system for treatment of epilepsy
|19h20:||Restoring lost connections with a brain-spinal interface
Jack DiGiovanna, senior scientist Ecole Polytechnique Fédérale de Lausanne
Illustration of the different facets of a brain-spinal interface in an animal model of spinal cord injury
|20h10:||Drinks and snacks|
The interventions will be held in English
|135 euro (excl. VAT): members of Leuven.Inc - 175 euro (excl. VAT): all others
Special fee available for Master and PhD students affiliated to and billable by KU Leuven or other universities. Please do contact us by e-mail.
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Reliving your experiences: memory processing in the brain - Fabian Kloosterman, Neuroscientist KU Leuven and Principal Investigator at NERF
All daily experiences leave lasting traces in our brain that allow us to recall memorable events and that are the basis for our knowledge of the world around us. Memories allow us to connect the past with the future – to anticipate upcoming events based on what we know from prior exposures to similar contexts. In this talk I will show that by listening in to the activity of hundreds of cells in the brain we can obtain a better understanding of how memories are represented and processed in the brain.
How brain networks make us intelligent - Francesco Battaglia, University of Nijmegen and visiting neuroscientist at NERF
Our behavior involves the interaction of many large networks of neurons, one in each brain area, according to laws that we are just beginning to unravel. I will propose some network architecture that could efficiently deal with complex structures, like language, and show how the recording and control of hundreds or thousands of neurons is helping us and will help us even more in the future to understand those laws.