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News

Illustration for news: Readiness to Punish Others for Selfish Behaviour Explained by Functional Brain Connections

Readiness to Punish Others for Selfish Behaviour Explained by Functional Brain Connections

The stronger the functional brain connections, the less inclined someone is to punish others for unfair behaviour. This conclusion was reached by HSE researchers following a neuroimaging experiment. Their paper ‘Wired to punish? Electroencephalographic study of the resting-state neuronal oscillations underlying third-party punishment’ was published in the journal Neuroscience.

Illustration for news: What Can Make Robots More Human-like?

What Can Make Robots More Human-like?

What is affect and why is it important for humans? How can feelings be defined and what is their relation to emotions and consciousness? What might be used in making a soft robot? Professor Antonio Damasio (University of Southern California, USA) discussed these and other questions in his honorary lecture, entitled 'Feeling, Knowing, and Artificial Intelligence'.The talk was delivered on April 16 at the at the XXII April International Academic Conference held by HSE University jointly with Sberbank.

Illustration for news: Online lecture by one of the most influential thinkers and neurophysiologists of our time - Antonio Damasio (event completed)

Online lecture by one of the most influential thinkers and neurophysiologists of our time - Antonio Damasio (event completed)

Topic: "Feeling, Knowing and Artificial Intelligence"

XXII April International Academic Conference Roundtable discussion (event completed)

Topic: «(In)homogeneous (ir)rationality. How the brain makes decisions»
 Chairman / Co-chairman (Vasily Klucharev / Boris Gutkin)

Congratulations to our colleague Mikhail Pokhoday on receiving his PhD!

On March 17, 2021, a junior researcher at the Centre for Cognition & Decision Making, Mikhail Pokhodai, successfully received his PhD in Psychology with a thesis on "Modality of attention and syntactic choice in English and Russian languages"

Illustration for news: Neurotechnology: The Decline of Freedom or New Horizons for Human Development?

Neurotechnology: The Decline of Freedom or New Horizons for Human Development?

On March 18, HSE University will host the international Neurotechnology & Freedom Conference, which will be held online. In an exchange with HSE News Service, Vasily Klucharev, director of the Institute for Cognitive Neuroscience and tenured professor at HSE University, discussed what views on the compatibility of these two concepts exist in modern science and art.

Congratulations to our colleagues with another publication in Scientific Reports!

Researchers at the HSE Institute for Cognitive Neurosciences have studied how transcranial alternating current stimulation (tACS) affects the primary motor cortex during and after stimulation. Scientists have shown that tACS affects the cortex only during online use (during stimulation). The article was published in Scientific Reports.

Illustration for news: Neuroscience & Art project: International Online Conference "Neurotechnology and Freedom"

Neuroscience & Art project: International Online Conference "Neurotechnology and Freedom"

Organized by the Centre for Cognition & Decision Making, HSE University supported by I-Brain Erasmus+ project
Topic: "Neurotechnology and Freedom"

Illustration for news: Can the Brain Resist the Group Opinion?

Can the Brain Resist the Group Opinion?

Scientists at HSE University have learned that disagreeing with the opinion of other people leaves a ‘trace’ in brain activity, which allows the brain to later adjust its opinion in favour of the majority-held point of view. The article was published in Scientific Reports.

Illustration for news: Researchers Expand the Capabilities of Magnetoencephalography

Researchers Expand the Capabilities of Magnetoencephalography

Researchers from the HSE Institute for Cognitive Neuroscience have proposed a new method to process magnetoencephalography (MEG) data, which helps find cortical activation areas with higher precision. The method can be used in both basic research and clinical practice to diagnose a wide range of neurological disorders and to prepare patients for brain surgery. The paper describing the algorithm was published in the journal NeuroImage.