The Institute of Cognitive Neuroscience (ICN) supports research exploring the biological bases of human behavior. ICN was founded in 2018 to promote interdisciplinary studies in cooperation with departments of psychology, linguistics, electrical engineering, and computer science, among many others.
Using tools like eye tracking, transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and neuroimaging (EEG, MEG, fMRI), we examine the neural mechanisms of human behavior, cognition, and social interaction. Our goal is to advance the empirical study and theoretical understanding of cognition and communication from an interdisciplinary perspective.
The Institute offers masters and doctoral programs in cognitive and brain sciences. It organizes a weekly colloquium, a journal club, a summer school, and various conferences. ICN regularly hosts institute fellows and extended visits by internationally acclaimed scholars.
ICN supervises one of the most popular interdisciplinary masters programs on campus: Cognitive Sciences and Technologies: From Neuron to Cognition. This program provides a broad curriculum in cognitive psychology, neuroscience, computational neuroscience, and neurotechnology.
Representative Research Lines of ICN Faculty
Neuroeconomics Group / Group Leader – Vasily Klucharev
The team investigates the brain mechanisms of decision-making, social influence and persuasive communication. The group particularly focuses on neural mechanisms of valuation, risk-taking, cognitive dissonance and social aspects of decision-making.
Cognitive Control, Communication and Perception Group / Group Leader – Yury Shtyrov
The research group incorporates various theoretical approaches and research methodologies in order to investigate the cognitive processes and the corresponding neuroanatomical networks involved in human communication. The group focuses on the analysis of the interplay between the domain-specific and the domain-general cognitive operations as well as the reliance of these operations on the shared neural networks.
Laboratory for Bioelectric Interfaces / Group Leader – Mikhail Lebedev
The group focuses on developing information technology for bidirectional communications with the human brain. It combines electrocorticographic interfaces and modern multidimensional data analysis methods with somatosensory feedback provided by direct electrical stimulation of the brain.
Neurodynamics Group / Group Leader – Vadim Nikulin
The group studies interplay between ongoing/pre-stimulus oscillations and the following behavioral/electrophysiological responses in different perceptual, motor and cognitive tasks. In addition to EEG/MEG, transcranial magnetic stimulation is used to probe cortical excitability underling neural oscillations.
Theoretical Neuroscience Group / Group Leader – Boris Gutkin
The group uses techniques from theoretical physics, applied mathematics and computer simulation to investigate a broad range of topics in computational neuroscience, including models of drug addiction; models of spiking and non-spiking recurrent networks; models of short-term memory and decision-making; interactions of body and brain in motivated behavior as well as cellular based computations.
Memory and Motor Control Group / Group Leader – Matteo Feurra
The group investigates neural mechanisms of motor imagery, action observation, real movement, visuomotor processes, working memory, long term memory using noninvasive brain stimulation, electroencephalography and functional magnetic resonance imagining.
Neuroimaging Methods Group / Group Leader – Alexei Ossadtchi
The group develops novel cutting-edge methods for analysis of magneto- and electroencephalographic data and sources localization.
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