Publications
We like to inspire and share interesting knowledge!
- I Carannante, Y Johansson, G Silberberg, J Hellgren Kotaleski. Data-Driven Model of Postsynaptic Currents Mediated by NMDA or AMPA Receptors in Striatal Neurons. Front Comput Neurosci. 2022; 16: 806086.
- J Fu, A Tzortzakakis, J Barroso, E Westman, D Ferreira, R Moreno. Generative Aging of Brain Images with Diffeomorphic Registration. arXiv preprint. 2022; arXiv:2205.15607. https://doi.org/10.48550/arXiv.2205.15607
- A Hain, D Jörgens, R Moreno. Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering. arXiv preprint 2022; arXiv:2205.04843. https://doi.org/10.48550/arXiv.2205.04843
- M Siegbahn, C Engmér Berglin, R Moreno. Automatic segmentation of the core of the acoustic radiation in humans. Front Neurol. 2022 : 934650. https://doi.org/10.3389/fneur.2022.934650
- C Dartora, A Marseglia, G Mårtensson, G Rukh, J Dang, JS Muehlboeck, LO Wahlund, R Moreno, J Barroso, D Ferreira, HB Schiöth, E Westman. Predicting the Age of the Brain with Minimally Processed T1-weighted MRI Data. medRxiv preprint. 2022; medRxiv:2022.09.06.22279594. https://doi.org/10.1101/2022.09.06.22279594
- Chakravarty K, Roy S, Sinha A, Nambu A, Chiken S, Hellgren Kotaleski J, Kumar A. Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State. eNeuro. 2022 Mar 18;9(2):ENEURO.0376-21.2022. doi: 10.1523/ENEURO.0376-21.2022.
- Hjorth, J.J.J., Hellgren Kotaleski, J. & Kozlov, A. Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda. Neuroinform 19, 685–701 (2021). https://doi.org/10.1007/s12021-021-09531-w
- G Colombo, R Cuber, L Kanari, A Venturino, R Schulz, M Scolamiero, J Agerberg, H Mathys, L Tsai, W Chachólski,, K Hess, S Siegert. Microglial morphOMICs, a tool for mapping microglial morphology, reveals brain-region-and sex-dependent phenotypes. Nature neuroscience, 2022.
- W Chachólski, A Guidolin, I Ren, M Scolamiero, F Tombari. Effective computation of relative homological invariants for functors over posets. arXiv preprint 2022; arXiv:2209.05923
- W Chachólski, A Jin, F Tombari. Realisations of posets and tameness. arXiv preprint 2022; arXiv:2112.12209
- W Chachólski, René Corbet, Anna-Laura Sattelberger. The Shift-Dimension of Multipersistence Modules. arXiv preprint 2022; arXiv:2112.06509.
- W Chachólski, B Gunti, C Landi, Decomposing filtered chain complexes: Geometry behind barcoding algorithms. Computational Geometry, Volume 109, 2023.
- N Hulst, Exploring persistent homology as a method for capturing functional connectivity differences in Parkinson’s Disease. Master Thesis. DiVA, id: diva2:1687257.
- Lucas Höglund, Analysis of Eye Tracking Data from Parkinson’s Patients using Machine Learning, MS thesis, KTH.
- Leo Bergman, Feature extraction with self-supervised learning on eye-tracking data from Parkinson’s patients and healthy individuals, MS thesis, KTH.
- Emma Lind. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning. MS thesis, KTH.
- Wilhelm Ågren, Feature extraction from MEG data using self-supervised learning. MS thesis, KTH.
- Giulia Tuccio, Parameter estimation in a cardiovascular computational model using numerical optimization. MS thesis, KTH.
- Paolo Calderaro, Patient simulation. Generation of a machine learning “inverse” digital twin. MS thesis, KTH.
- Georgios Moschovis. NeuralDynamicsLab at ImageCLEF Medical 2022. ImageCLEF, 2022.
- Helson Pascal, Lundqvist Daniel, Svenningsson Per, Vinding Mikkel, Kumar Arvind (2023) Cortex-wide topography of 1/f-exponent in Parkinson’s disease. Nature Parkinson’s Disease, 9, Article number: 109.
- Zang, Jie, Liu Shenquan, Helson Pascal, Kumar Arvind (2024) Structural constraints on the emergence of oscillations in multi-population neural networks. eLIFE, 12(Feb 5).
- Wärnberg Emil, Kumar Arvind (2023) Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia PNAS, 32(120):e2221994120