Our Project

The artificial neural network model was created based on analogies to biological counterparts, such as a simplified model of the neuron or a system of retinal neurons. Due to the increasing complexity of tasks and problems with the development of effective methods for learning deep neural networks, solutions based on algebraic structures dominate Today, advanced approaches in machine learning such as deep learning show a number of undesirable features, such as forgetfulness, susceptibility to adversarial examples, the requirement for a large training set, and slow learning. Most of these features do not occur in biological systems, thus it would be beneficial to take an inspiration from them to help training artificial systems. The aim of the project is to analyze high-level behaviors of biological neural systems and to build innovative artificial models by proposing new paradigms of learning and new architectures of computational models.

Job offers

The Jagiellonian University will run six research groups: Cognitive group (leader Tadeusz Marek), Physics group (leader Maciej A. Nowak), Machine-learning group, Neuro group, BioDataScience group, InfoTech group.

Job offers for

are open.

If you are interested in applying, please fill out the following recruitment form (DOC) or (PDF).

Specific recruitment rules are available here. Declaration on intellectual is available here. The form for processing personal data can be found here.

Business contacts

Seminars Schedule

Maria Lewandowska, "Głębokie konwolucyjne sieci neuronowe do analizy skanów MRI"

Dyskusja na temat danych pochodzących od grupy kongnitywistycznej

Anna Ceglarek i Bartosz Bohaterewicz, "Zastosowanie teorii grafów w analizach fMRI"

Group Workshop

11:00 - 12:00 Machine-learning group
12:10 - 13:10 Physics group
13:10 - 14:00 Lunch
14:00 - 15:00 Neuro group
15:10 - 16:10 Cognitive group
16:10 - 16:40 Coffee Break
16:40 - 18:40 Group Discussion

Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.

Maciej Wołczyk, Jacek Tabor, Marek Śmieja, "Biologically-Inspired Spatial Neural Networks"

Romuald Janik, "Explaining the Human Visual Brain 2019 competition and workshop"
Additional information: Paper you can find here.

Magda Gawłowska, "EEG 101"

Igor Podolak, "BioNN machine learning"

Group Workshop

12:00 - 13:30 Paweł Hottowy (AGH): Perspektywy budowy zaawansowanego implantu dla niewidomych
13:30 - 14:15 Lunch
14:15 - 14:45 Tomasz Trzciński: Uczenie binarnych reprezentacji obrazu
14:45 - 15:15 Paweł Oświęcimka: Fraktalne podejście do analizy szeregów czasowych
15:15 - 15:45 Coffee break
15:45 - 16:30 Ziemowit Sławiński: Spiking neural networks
16:30 - 18:00 Igor Podolak, Igor Sieradzki, Maciej Wołczyk: Wstęp do continual learning

Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.

Dyskusja na temat danych pochodzących od grupy kongnitywistycznej - kontynuacja

Title 1

Abstract: ...

Title 2 with link

Abstract: ...

Meet Our Team

prof. Tadeusz Marek

Team Leader

dr Magdalena Fąfrowicz

Research Senior

Bartosz Bohaterewicz

Research Assistant

Anna Ceglarek

Research Assistant

prof. Maciej A. Nowak

Team Leader

prof. Romuald Janik

Research Senior

dr Jacek Grela

Research Junior

dr Przemysław Witaszczyk

Research Junior

dr hab. Igor Podolak

Team Leader

dr Marek Śmieja

Research Junior

Igor Sieradzki

PhD Student

Aleksandra Nowak

PhD Student

Maciej Wołczyk

PhD Student

prof. Daniel Wójcik

Team Leader

Contact Us

ul. prof. Stanisława Łojasiewicza 6
30-348 Kraków
Poland

bionn@matinf.uj.edu.pl

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