Publications

Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, und David Kappel. Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. 2024. [PUMA: FIS_scads imported topic_neuroinspired yaff]

Jingyue Zhuge, Christian Georg Mayr, Anand Subramoney, und David Kappel. Single Train Multi Deploy on Topology Search Spaces using Kshot-Hypernet. 2024. [PUMA: FIS_scads imported topic_neuroinspired xack yaff]

Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugring, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, und Shantanu Chakrabartty. ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. 2024. [PUMA: FIS_scads imported topic_neuroinspired yaff]

Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, und Anand Subramoney. Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. 2024. [PUMA: FIS_scads imported topic_neuroinspired xack]

Maksim Kukushkin, Martin Bogdan, und Thomas Schmid. BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2987--2996, IEEE, 2024. [PUMA: area_bigdata ep imported topic_neuroinspired zno]

Dimitra Kiakou, Adam Adamopoulos, und Nico Scherf. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", 223--230, 2022. [PUMA: topic_neuroinspired Disease Feature Graph-Based Impact Investigating Neuroimaging Prediction Selection learning]

Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Nico Scherf, und others. A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study. JMIR Medical Informatics, (11):e43847, JMIR Publications Toronto, Canada, 2023. [PUMA: topic_neuroinspired (fhir-dhp) ai application clinical data deployment harmonization pipeline scalable standardized]

Nikola Milosevic, Gesine M�ller, Jan Huisken, und Nico Scherf. Open Problem: Active Representation Learning. 2024. [PUMA: imported topic_neuroinspired] URL

Charlotte Beylier, Simon M. Hofmann, und Nico Scherf. Revealing the learning process in reinforcement learning agents through attention-oriented metrics. 2024. [PUMA: imported topic_neuroinspired] URL

Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, und A. Veronica Witte. Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage, (261):119504, 2022. [PUMA: topic_neuroinspired topic_lifescience Ageing, Brain-age, Cardiovascular Explainable Structural a.i., deep factors, learning mri, risk] URL

Amirhossein Rostami, Bernhard Vogginger, Yexin Yan, und Christian G. Mayr. E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Frontiers in Neuroscience, (16)2022. [PUMA: topic_neuroinspired imported] URL

Lorenzo Maiello, Lorenzo Ball, Marco Micali, Francesca Iannuzzi, Nico Scherf, Ralf-Thorsten Hoffmann, Marcelo Gama de Abreu, Paolo Pelosi, und Robert Huhle. Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning. Frontiers in Physiology, (12)Frontiers Media SA, Februar 2022. [PUMA: topic_neuroinspired imported] URL

Kornelius Podranski, Kerrin J. Pine, Timoteo Colnaghi, Andreas Marek, Patrick Scheibe, Nico Scherf, und Nikolaus Weiskopf. Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mapping. 2022. [PUMA: topic_neuroinspired imported]

Jörn Hoffmann, Clemens Fritzsch, und Martin Bogdan. CoBEA. Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, New York, NY, USA, Juli 2022. [PUMA: topic_neuroinspired]

Clemens Fritzsch, Jorn Hoffmann, und Martin Bogdan. Evolving hardware by direct bitstream manipulation of a modern FPGA. 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, Juli 2022. [PUMA: topic_neuroinspired]

Clemens Fritzsch, Jorn Hoffmann, und Martin Bogdan. Reduction of bitstream size for low-cost iCE40 FPGAs. 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL), IEEE, August 2022. [PUMA: topic_neuroinspired]

Ferney Beltran-Velandia, Jonatan Gomez, Miguel Suarez, Andres Ojeda, und Elizabeth Leon. Classification of Music-Evoked Emotions from EEG signals using Self-Organizing Maps. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), IEEE, Juli 2022. [PUMA: topic_neuroinspired]

Leonie Lampe, Hans-Jürgen Huppertz, Sarah Anderl-Straub, Franziska Albrecht, Tommaso Ballarini, Sandrine Bisenius, Karsten Mueller, Sebastian Niehaus, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Johannes Kornhuber, Martin Lauer, Johannes Prudlo, Anja Schneider, Matthis Synofzik, Jan Kassubek, Adrian Danek, Arno Villringer, Janine Diehl-Schmid, Markus Otto, Matthias L Schroeter, und FTLD Consortium Germany. Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging. NeuroImage Clin., (37)103320:103320, Elsevier BV, Januar 2023. [PUMA: topic_neuroinspired Dementia; Diagnosis; MRI; Machine Neurodegeneration; Volumetry learning; topic_lifescience unit_test]

Markus Frey, Christian F Doeller, und Caswell Barry. Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks. arXiv, 2023. [PUMA: topic_neuroinspired]

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, und David Kappel. Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. arXiv, 2022. [PUMA: topic_neuroinspired]