Computational Neuroscience Lab

Institute of Computer Science, University of Tartu

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Direct information transfer rate optimisation for SSVEP-based Brain-Computer Interfaces by neuron

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In this work, Anti Ingel has developed a classification method for steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI). Brain-computer interface is a direct communication channel between the brain […]

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Brain-Computer Interface Competition 2019 introduced at Robotex by Ilya Kuzovkin

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Robotex International with support from Computational Neuroscience Lab, Institute of Computer Science of University of Tartu and ABB Estonia has introduced Mind Control competition that will take place at Robotex […]

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The use of embeddings in OpenAI Five by Tambet Matiisen

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While there has been much discussion about OpenAI bot behavior and general meaning of the matches for AI community, there has been surprisingly little technical analysis of their training methods […]

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What neural networks actually do? by Tambet Matiisen

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I often see people mystifying artificial neural networks, like they would think or reason. Actually they are doing simple curve fitting and I have used the following example with students […]

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Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex by Ilya Kuzovkin

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Our paper is out in Nature Communications Biology: https://www.nature.com/articles/s42003-018-0110-y! We had a cool dataset from 100 patients who looked at some pictures while wearing intracranial electrodes inside of their brain. […]

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