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

Inquiry offers for anti-discrimination training, more details here.

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

Through our expertise, we support Ardigen SA in providing innovative solutions using our experience in medical image analysis, drug design, and cheminformatics. As a result, we published many research papers at top conferences (NeurIPS, IJCAI, MIDL, MEDINFO) and journals (Journal of Cheminformatics, PloS one). We plan to further strengthen the collaboration with Ardigen by submitting grant proposals to apply the results of our research in the business.

As part of our collaboration with Tooploox, we run several research projects focused on 3D point representations, continuous flow architectures of neural networks and visual reasoning. The results of these works are submitted and published at top-tier conferences (NeurIPS, ICML, IJCAI). Together with Tooploox, as our industrial partner, we plan to deepen our collaboration by submitting future grant proposals and turning research results into commercially viable solutions.

The principle of equal opportunities

We apply the principle of equal opportunities and implement standards of equality in project management. The project participants underwent 8-hour anti-discrimination training. The anti-discrimination guide for project participants is available here.

Events

BNNI 2022

The BNNI 2022 is interdisciplinary and covers modeling at different levels of the organization of the brain. The course combines lectures, tutorials, and computer exercises for computational modeling and analysis of brain functions at multiple physiological and anatomical scales. The summer school will follow the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, BNNI 2014 in Tampere, BNNI 2015 in Tartu, BNNI 2016 in Warsaw, BNNI 2017 in Kaunas, BNNI 2018 in Ventspils, BNNI 2019 in Frankfurt, BNNI 2021 online).

MLSSN 2022

MLSSN 2022 is a summer school providing a didactic introduction to a range of modern topics in Machine Learning, Computer Vision and Computational Neuroscience, primarily intended for research-oriented graduate students. The school features a line-up of internationally recognised researchers who will talk with enthusiasm about their subjects. Our goal is to provide a unique opportunity to learn from and connect with the leading experts in the scenic setting of the historical city of Krakow.

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"

11:15 - 12:45 Rafał Bogacz: Propagacja wsteczna w mózgu

Localization: online meeting

12:00 - 14:00 Łukasz Kuśmierz: Heavy tails in machine learning and neuroscience

Localization: online meeting

13:00 - 15:00 Aylen de Florian: What you need to know about optogenetics

Localization: online meeting

11:00 - 13:00 Friedemann Zenke: Toward functional spiking neural networks through surrogate gradients

Localization: online meeting

11:00 - 13:00 Sławomir Tadeja: Applications of AR/VR Interfaces in Biology and Medicine: A Short Review

Localization: online meeting

11:00 - 13:00 Sebastian Szymański: Etyka AI: podstawowe problemy

Localization: online meeting

11:00 - 13:00 Piotr Miłoś, Łukasz Kuciński: Reinforcement learning adventures

Localization: online meeting

11:00 - 13:00 Gabriela Mochol: Prefrontal cortex represents heuristics that shape choice bias and its integration into future behavior

Localization: online meeting

11:00 - 13:00 Bartosz Bohaterewicz: Machine learning based identification of suicidal risk in patients diagnosed with schizophrenia, bases on multi-level resting state fmri features, semantic development, and cognitive control

Localization: online meeting

11:00 - 13:00 Andrew Saxe: Deep learning theories of perceptual learning, semantic development, and cognitive control

Localization: online meeting

11:00 - 13:00 Aleksandra Nowak: Neural Networks on Random Graphs

Localization: online meeting

14:00 - 15:00 Daniel Martin: Inferring interactions from all-optical interrogation of neural circuits

Localization: online meeting

11:15 - 12:00 Maciej Wołczyk, Marek Śmieja, Jacek Tabor: Wstęp do "conditional computations"
12:00 - 12:45 Jacek Grela “Uczenie sieci neuronowych jako przejście fazowe”

Localization: online meeting

Group Workshop

10:00 - 11:00 Jacek Rogala: “Sztuczne sieci neuronowe z perspektywy biologa”
11:00 - 12:00 Daniel Wójcik “Równania Hodgkina-Huxleya - mechanizmy generacji iglicy”
12:00 - 13:30 Lunch
13:30 - 14:30 Tomasz Trzciński "Przegląd propozycji mini-projektów w grupie InfoTech"
14:30 - 15:30 Magda Gawłowska "Aktualne trendy w analizie danych EEG"
15:30 - 16:00 Jacek Tabor: dyskusja

Localization: online meeting

Marek Śmieja, "Direct Feedback Alignment"

Group Workshop

11:00 - 12:00 Przemysław Spurek: Independent Component Analysis
12:00 - 13:00 Lunch
13:00 - 14:30 Paweł Hottowy: Perspektywy budowy zaawansowanego implantu dla niewidomych
14:30 - 15:30 Coffee Break: Room 1103
15:30 - 17:00 Daniel Wójcik: Wstęp do neurobiologii obliczeniowej, cz. 1: Równanie kabla - dendryty bierne

Localization: Room 1016 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.

Igor Sieradzki, Maciej Wołczyk: Continual Machine Learning: Scenarios, Current Methods and Evaluation

Group Workshop

12:00 - 14:00 Igor Podolak, Igor Sieradzki, Maciej Wołczyk: Introduction to continual learning
14:00 - 14:45 Lunch
14:45 - 15:30 Tomasz Trzciński: Learning binary representaiton of images
15:30 - 16:15 Paweł Oświęcimka: Fractal approach to time series analysis
16:15 - 16:45 Coffee break
16:45 - 17:30 Ziemowit Sławiński: Spiking neural networks

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

Igor Podolak: Biological blueprints for next generation AI systems
Dyskusja na temat danych pochodzących od grupy kongnitywistycznej - kontynuacja

11:00 - 12:30 Ludovico Minati: On nonlinear electronic circuits: some phenomena, experiments and applications

Localization: online.

11:15 - 12:45 Mike X Cohen: “A deep learning framework for neuroscience": A guided discussion

Localization: online.

11:15 - 12:45 Lars-Håkan Thorell: Damage to specific hippocampal CA3 neurons prevents the ability to normal orienting to and learning details in the everyday environment and removes our last barrier to take our lives when we are depressed

Localization: online.

Brain-inspired computing and simulations (Horizon Europe Weeks)

Localization: Turówka Conference Center (Wieliczka) and online.

11:15 - 12:45 Anna i Tomasz Błasiak: Stajnia Augiasza współczesnej neurobiologii
13:15 - 14:00 Piotr Majka: The network organisation of the marmoset cerebral cortex: large-scale analysis of cortico-cortical connections at single cell resolution

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

15:00 - 16:30 Dante Chialvo: Life at the edge: complexity and criticality in biological function

Localization: Room A-1-13. Faculty of Physics, Astronomy and Applied Computer Science, Łojasiewicza 11, 30-348 Kraków.

10:15 - 11:00 Henryk Michalewski: Automatyczne dowodzenie twierdzeń
11:15 - 12:00 Piotr Miłoś, Łukasz Kuciński: Uczenie ze wzmocnieniem - perspektywy badań

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

11:15 - 12:45 Bernhard Geiger: Information-Theoretic Analysis and Design of Neural Networks

11:15 - 12:45 Dominika Basaj, Witold Oleszkiewicz, Bartosz Zieliński: Explaining Self-Supervised Image Representations with Visual Probing

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

11:15 - 12:45 Andrzej Nowak: Narracje - perspektywa poznawcza i społeczna

11:15 - 12:45 Elżbieta Pyza: Struktura, aktywność i plastyczność mózgu Drosophila melanogaster - część 2

11:15 - 12:45 Elżbieta Pyza: Struktura, aktywność i plastyczność mózgu Drosophila melanogaster - część 1

11:15 - 12:45 Piotr Miłoś, Łukasz Kuciński: Continual World: A Robotic Benchmark for Continual Reinforcement Learning

11:15 - 12:45 Johannes Zierenberg: Using modular networks to reliably distinguish temporal input patterns

11:15 - 12:45 Andrzej Wróbel: Mózg i świadomość

11:15 - 12:45 Szymon Szczęsny: Pokonywanie ograniczeń implementacji sprzętowej sieci impulsujących

11:15 - 12:45 Sabina Podlewska: Assistance of computational methods at different stages of drug design pipelines

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

11:15 - 12:45 Krzysztof Geras: Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

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

11:15 - 12:45 Paweł Morawiecki: Hebbian Continual Representation Learning

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

11:15 - 12:45 Przemysław Spurek: Continual Learning with Guarantees via Weight Interval Constraints

Localization: online

11:15 - 12:45 Jan Rodriguez Parkitna: Neuronalne mechanizmy uczenia ze wzmocnieniem

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

11:15 - 12:45 Dariusz Zapała: Różnice w aktywności mózgu podczas tworzenia kinestetycznych i wizualnych wyobrażeń ruchowych

Localization: online

11:15 - 12:45 Piotr Durka: Brain-computer interfaces

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

11:15 - 12:45 Carlosa Riquelme: Scaling Vision with Sparse Mixture of Experts

Localization: online.

11:15 - 12:45 Marcin Leszczyński: Neurobiology of active vision

Localization: online.

11:15 - 12:45 Wojciech B. Solecki: Locus coeruleus noradrenergic projections into the ventral tegmental area regulate cocaine seeking

Localization: online.

11:15 - 12:45 Wojciech Samek: Explainable AI: Concepts, Methods and Recent Developments

Localization: online.

11:15 - 12:45 Rafał Bogacz: Propagacja wsteczna w mózgu

Localization: online meeting

Meet Our Team

prof. Tadeusz Marek

Team Leader

dr Magdalena Fąfrowicz

Research Senior

dr Magda Gawłowska

Research Junior

Bartosz Bohaterewicz

Research Assistant

Anna Ceglarek

Research Assistant

Natalia Golonka

PhD Student

Anna Sobczak

PhD Student

Aleksandra Żyrkowska

PhD Student

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 Łukasz Struski

Research Junior

dr Marek Śmieja

Research Junior

Aleksandra Nowak

PhD Student

Igor Sieradzki

PhD Student

Maciej Wołczyk

PhD Student

prof. Daniel Wójcik

Team Leader

dr Jakub Dzik

Research Junior

dr Michał Lenarczyk

Research Junior

dr Bartosz Jura

Research Junior

Ziemowit Sławiński

PhD Student

dr hab. inż. Tomasz Trzciński

Team Leader

dr Karol Jerzy Piczak

Research Junior

dr Przemysław Spurek

Research Junior

dr Bartosz Zieliński

Research Junior

Klaudia Bałazy

PhD Student

Witold Oleszkiewicz

PhD Student

Michał Sadowski

PhD Student

dr hab. inż. Paweł Oświęcimka

Team Leader

dr Jeremi Ochab

Research Junior

dr Pritpal Singh

Research Junior

dr Marcin Wątorek

Research Junior

Tomasz Stanisz

PhD Student

Contact Us

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

bionn@matinf.uj.edu.pl

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