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Online course in Computational Neuroscience of Single Neurons

EPFL offers an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Neurons encode information about stimuli in a sequence of short electrical pulses (spikes). Students will learn how mathematical tools such as differential equations, phase plane analysis, separation of time scales, and stochastic processes can be used to understand the dynamics of neurons and the neural code. 

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Spiking network simulation code for petascale computers

In Frontiers in Neuroinformatics, members of the INCF community present a data structure taking advantage of this double collapse using metaprogramming techniques. After introducing the relevant scaling scenario for brain-scale simulations, they quantitatively discuss the performance on two supercomputers, and show that the novel architecture scales to the largest petascale supercomputers available today.


Marmosets are stars of Japan’s ambitious brain project

In Nature, researchers explain how ten-year brain-mapping effort will use monkeys to study human neural and mental disorders.



INCF receives contributions from our member countries, based on gross domestic expenditures on research and development.

Karolinska Institutet and the Royal Institute of Technology are the host institutions of INCF. Further support is also received from the Swedish Research Council,
the Swedish Foundation for Strategic Research and the National Science Foundation.


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