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.
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
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.
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
11:15 - 12:45 | Elżbieta Pyza: TBA |
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 | Rafał Bogacz: Propagacja wsteczna w mózgu |
Localization: online meeting
Project Leader
Team Leader
Physics group
Team Leader
Cognitive group
Team Leader
Neuro group
Team Leader
Machine-learning group
Team Leader
BioDataSci group
Team Leader
InfoTech group
Team Leader
Research Senior
Research Junior
Research Assistant
Research Assistant
PhD Student
PhD Student
PhD Student
Team Leader
Research Senior
Research Junior
Research Junior
Team Leader
Research Junior
Research Junior
PhD Student
PhD Student
PhD Student
Team Leader
Research Junior
Research Junior
PhD Student
Team Leader
Research Junior
Research Junior
Research Junior
PhD Student
PhD Student
Team Leader
Research Junior
Research Junior
Research Junior
PhD Student