Excellence Initiative - Research University

University Centre of Excellence “Dynamics, Mathematical Analysis and Artificial Intelligence”

Contactul. Gagarina 11, 87-100 Toruń
e-mail: damsi@umk.pl

Neuroinformatics and Artificial Intelligence


Publications Grants Seminars Participations

Local seminars of the neuroinformatics and artificial intelligence group

Dr  Piotr Przymus – mining software for bugs. 10.02.2024

Michał Lemańczyk, 16.04 and 23.04, “Introduction to Perron-Frobenius theory – part 1 – The matrix version of the Perron-Frobenius theorem”

Łukasz Furman, several seminars, MCI analysis

Luis Alexandre, report on optimization of electrode positions.

Krzysztof Tołpa, several seminars

Ewa Ratajczak, Micorstate seminar

New Center: B-NiCE(R): BrainDynamics & NeuroBiology in Cognitive Experience. Tomasz Piotrowski, PI

Prof. Włodzisław Duch, DAMSI/INT Colloquium, UMK, 2023.12.19.
Large foundational models, brains and scientific discoveries.

Riken AIP and NCU workshop, Complex systems science and neuroscience. Toruń, Poland, 2023.09.25
12 oral presentations and 5 poster presentations. Workshop chairs: Alexandra Wolf, RIKEN AIP, Tokyo, Japan, and Ewa Ratajczak, Nicolaus Copernicus University, Toruń, Poland
Workshop organizing committee: Mihoko Otake-Matsuura, Ikuko Tsumura, and Tomasz M. Rutkowski, RIKEN AIP, Tokyo, Japan, and Tomasz Komendziński and Bibianna Bałaj, Nicolaus Copernicus University, Toruń, Poland

Riken AIP and NCU workshop, Mathematical foundations of machine learning. Toruń, Poland. 2023.09.26.
13 oral presentations and 7 poster presentations. Workshop chairs: Masashi Sugiyama, Riken Aip And The University Of Tokyo, Tokyo, Japan, and Tomasz Piotrowski, Nicolaus Copernicus University, Toruń, Poland. Workshop Organizing Committee: Marek Grochowski, Nicolaus Copernicus University, Toruń, Poland, and Ikuko Tsumura And Tomasz M. Rutkowski, Riken Aip, Tokyo, Japan

Dr. Tomasz M. Rutkowski (RIKEN AIP, Tokyo, The University of Tokyo, and Nicolaus Copernicus University)
Network Neuroscience and Topological Data Analysis Approaches to Dementia Neuro-biomarker with Machine-Learning Support. DAMSI 2.10.2023

Prof. Dean Krusieński (Virginia Commonwealth University, Richmond, VA),
Opportunities in neural data analysis. ICNT, 28.03.23

Prof. Dean Krusieński (Virginia Commonwealth University, Richmond, VA),
“Decoding of speech from intracranial activity” DAMSI 12.04.23

Prof. Luís Alexandre (Universidade da Beira Interior and NOVA LINCS, Covilhã, Portugal), 2023,
7.11.2022, Improving the Automatic Construction of Neural Network Models”.

dr Jarosław Duda, DAMSI 22.05.2023,
Hierarchical correlation reconstruction – between statistics and machine learning

prof. Norbert Jankowski, KIS/DAMSI 21.11.2022
A fast and efficient algorithm for filtering the training dataset.

dr Michał Komorowski, 14.08.2021,
Toffi Toolbox progress
2022,
2023

dr Ewa Ratajczak 2021, 2022, 2023

prof. Jacek Matulewski 2021, 2022, 2023

Simone Poetto, 2022, 2023

Łukasz Furman, 2021, 2022, 2023

 

Speaker Date Time Title Place
Maciej Jedynak
15.06.2020
9:30 a.m
Synergy of experimentally derived structural and functional connectivities of the human brain https://fizyka-umk.webex.com/meet/wduch
Krzysztof Rykaczewski 17.09.2020 9:30 a.m. Towards a new approach to reveal dynamical organization of the brain using topological data analysis https://fizyka-umk.webex.com/meet/wduch
Alina Baranowska 24.09.2020 9:30 a.m https://fizyka-umk.webex.com/meet/wduch
Kamil Bonna 12.10.2020 12:00 p.m “DecideNet” project – connectivity findings https://fizyka-umk.webex.com/meet/wduch
Michał Komorowski 26.10.2020 12:00 p.m “The frequency gradient of human resting-state brain oscillations follows cortical hierarchies” – article presentation https://fizyka-umk.webex.com/meet/wduch
Monika Boruta 23.11.2020 12:00 p.m “Polysemiotic metaphors in the narratives of patients with Medically Unexplained Symptoms (MUS)” https://us04web.zoom.us/j/3265630712?pwd=Qm1rMWx1bTRmVTBIYVNXcFZGbElMQT09