• TENSS 2014

    The institute organizes the third edition of the Transilvanian Experimental Neuroscience Summer School

    Visit the school's website
  • Intricate connections

    between the Julia and Mandelbrot sets,
    discovered by Marius F. Danca and colleagues

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News

The institute launches the researchforindustry.ro platform

The Romanian Institute of Science and Technology announces the launch of the web platform researchforindustry.ro for supporting technology transfer and entrepreneurship in Romania. The platform's objective is to increase the international visibility of Romanian applied research, to accelerate its international interconnectedness, and to offer the training and mentorship that researchers and institutions need in order to make measurable improvements in the technology transfer field.

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The story of TENSS 2013

Mihai Goţiu wrote an article on the story of this year's edition of the Transylvanian Experimental Neuroscience Summer School.

Read the article on VoxPublica (in Romanian)

Intricate connections between the Julia and Mandelbrot sets

RIST's scientist Marius F. Danca and his colleagues have discovered that the Mandelbrot set is not only the set of complex plane points for which Julia sets are connected, but also the set of all parameter values for which alternated Julia sets are disconnected.

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The research of Raul Mureşan's lab is featured on the Max Planck website

The website of the prestigious Max Planck Institute (Germany) features an article on the work of the group led by Raul Mureşan at our institute's Center for Cognitive and Neural Studies.

Nature showcases the research of Florian Engert

The prestigious Nature journal showcases the research of Florian Engert, who is a member of the board of the Romanian Institute of Science and Technology and a professor at Harvard University, USA.

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Finding attractors of continuous-time systems by parameter switching

RIST's Marius F. Danca has found that if the control parameter p, of a continuous-time nonlinear system belonging to a large class of systems, is switched within a set of chosen values in a deterministic or even random manner, while the underlying model is numerically integrated, the obtained attractor is a numerical approximation of one of the existing attractors of the considered system.

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The brain's timescale correlates to the timescale of visual stimuli

Our scientists have found that the internal timescale of the brain, i.e., the time window needed by neurons to encode a given aspect of the visual stimulus, is tightly correlated to the external timescale of the visual stimulus, i.e., the speed with which the visual image on the retina changes.

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Visualizing how the brain encodes information

The institute's scientists have developed a special visualization technique for how multiple neurons fire spikes together to encode information, by representing the identity of firing patterns of multiple neurons with color sequences.

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