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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.
The execution of the project occurred under the TEAM-NET program of the Foundation for Polish Science, with co-financing from the European Union through the European Regional Development Fund. The project received funding amounting to PLN 19,701,875.
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.
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If you are interested in applying, please fill out the following recruitment form (DOC) or (PDF).
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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.
Our team collaborates with Sages, an IT company established in 2007, offering comprehensive IT support, specialist IT education, and AI-driven solutions for process automation in organizations. Through our Team-Net project, we share the knowledge we've gained to contribute to the growth of the economy. Sages' impressive client portfolio includes companies like Alior Bank, OLX Group, Bank Zachodni WBK, Orange Polska, Lufthansa, among many others.
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.
In collaboration with Sages, we provide the following specialized courses:
For detailed pricing and registration information, please visit the Sages website, where the course names above are hyperlinked. You can also access comprehensive course descriptions and guidelines on the same page (regulations for these courses are here).MLSSS 2023 is a summer school providing a didactic introduction to a range of modern topics in Machine Learning and their applications in other disciplines of Science, primarily intended for research-oriented graduate students. The school features a line-up of internationally recognized 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 historic city of Kraków, Poland. This school is the next edtion of MLSSN 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 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.
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 | Tomasz Pieciak: Diffusion MRI of the brain |
Localization: online
11:15 - 12:45 | Justyna Sarzyńska-Wawer i Aleksander Wawer: Kłamanie po polsku: analiza języka oraz automatyczne metody wykrywania |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:45 | Iwona Grabska-Gradzińska: TBA |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
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.
12:30 - 14:00 | Maciej Jaworski: Modele kompresji sieci neuronowych |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:10 | Marek Binder: Wykorzystanie słuchowych potencjałów stanu ustalonego do oceny funkcjonowania mózgowia w zaburzeniach świadomości |
12:30 - 13:15 | Michał Lenarczyk: Wybrane wyniki badań grupy Neuro |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:12 | Zhaoping Li: V1 Saliency Hypothesis and Central-Peripheral Dichotomy (CPD) |
12:15 - 13:00 | Klaudia Bałazy: Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:45 | Adam Pawłowski: Jak opatentować programy komputerowe |
Localization: online.
11:15 - 12:12 | Mateusz Kierepka: Sztuczna inteligencja, rozszerzona rzeczywistość w medycynie - relacja z własnych startupów |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:45 | Michał Zając: Exploring continual learning of diffusion models |
Localization: online.
11:15 - 12:45 | Chaitanya Chintaluri: Why do neurons spike spontaneously? |
Localization: Room 1146 (first floor). Faculty of Mathematics and Computer Science, Łojasiewicza 6, 30-348 Kraków.
11:15 - 12:45 | Rafał Bogacz: Propagacja wsteczna w mózgu |
Localization: online meeting