Julian Fuhrer

• Fuhrer, Julian; Glette, Kyrre; Anais, Llorens; Endestad, Tor; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2023). Quantifying evoked responses through information-theoretical measures. Frontiers in Neuroinformatics. ISSN 1662-5196. 17. doi: 10.3389/fninf.2023.1128866. Full text in Research Archive
• Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-based Encoded Information Quantification in Neurophysiological Recordings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). ISSN 2694-0604. p. 2319–2323. doi: 10.1109/EMBC48229.2022.9871501. Show summary

  Brain activity differs vastly between sleep, cognitive tasks, and action. Information theory is an appropriate concept to analytically quantify these brain states. Based on neurophysiological recordings, this concept can handle complex data sets, is free of any requirements about the data structure, and can infer the present underlying brain mechanisms. Specifically, by utilizing algorithmic information theory, it is possible to estimate the absolute information contained in brain responses. While current approaches that apply this theory to neurophysiological recordings can discriminate between different brain states, they are limited in directly quantifying the degree of similarity or encoded information between brain responses. Here, we propose a method grounded in algorithmic information theory that affords direct statements about responses' similarity by estimating the encoded information through a compression-based scheme. We validated this method by applying it to both synthetic and real neurophysiological data and compared its efficiency to the mutual information measure. This proposed procedure is especially suited for task paradigms contrasting different event types because it can precisely quantify the similarity of neuronal responses.

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• Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Show all 11 contributors for this article] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli.
• Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-Based Encoded Information Quantification in Neurophysiological Recordings.
• Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Show all 11 contributors for this article] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli.
• Fuhrer, Julian; Blenkmann, Alejandro Omar; Tørresen, Jim; Endestad, Tor & Glette, Kyrre (2019). Making Sense of Randomness?
• Jensenius, Alexander Refsum; Erdem, Cagri; Zelechowska, Agata; Lan, Qichao; Fuhrer, Julian Peter & Gonzalez Sanchez, Victor Evaristo (2019). Entraining Guitars.
• Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter & Gonzalez Sanchez, Victor Evaristo [Show all 9 contributors for this article] (2019). Self-playing Guitars. Show summary

  In this installation we explore how six self-playing guitars can entrain to each other. When they are left alone they will revert to playing a common pulse. As soon as they sense people in their surroundings they will start entraining to other pulses. The result is a fascinating exploration of a basic physical and cognitive concept, and the musically interesting patterns that emerge on the border between order and chaos.

• Fuhrer, Julian Peter; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Animation of the RITMO Logo. Show summary

  In this project the logo of RITMO is installed in an interactive animation. It is able to move in accordance with the frequency band of an audio input stream. That is to say, the RITMO logo interacts with the rhythmical streams of music.

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