Suchergebnisse - "Neuroinformatics"

Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder

Autoren: Rezzy Eko Caraka Khairunnisa Supardi Prana Ugiana Gio et al.

Quelle: Journal of Multidisciplinary Healthcare, Vol Volume 18, Iss Issue 1, Pp 4411-4430 (2025)

Schlagwörter: Computational Neuroscience, Neuroinformatics, Brain Connectivity, Medicine (General), R5-920, neuropsychiatric, ADHD, Feature Selection

Zugangs-URL: https://doaj.org/article/99bd8a07377c4a1db2ab0d80c3e1542f

Online Prediction of Core Body Temperature from Sweat Wearable Printed Sensors Using Recurrent Neural Network

Autoren: Wang, Shu Demuru, Silvia Lafaye, Céline et al.

Weitere Verfasser: Wang, Shu Demuru, Silvia Lafaye, Céline et al.

Quelle: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Schlagwörter: 570 Life sciences, biology, 10194 Institute of Neuroinformatics

Dateibeschreibung: ISCAS_2025_WeCare_zora.pdf - application/pdf

Zugangs-URL: https://www.zora.uzh.ch/id/eprint/278836/
https://doi.org/10.5167/uzh-278836

CustomFit: Customizing Task-Optimized and Size-Specific Subnets from a Single Base Network During Runtime

Autoren: Cheng, Longbiao Zhou, Sheng Liu, Shih-Chii et al.

Weitere Verfasser: Cheng, Longbiao Zhou, Sheng Liu, Shih-Chii et al.

Quelle: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Schlagwörter: 570 Life sciences, biology, 10194 Institute of Neuroinformatics

Dateibeschreibung: ISCAS_2025_CustomFit_Longbiao_Cheng.pdf - application/pdf

Zugangs-URL: https://www.zora.uzh.ch/id/eprint/278837/
https://doi.org/10.5167/uzh-278837

Distinct roles of PV and Sst interneurons in visually induced gamma oscillations.

Autoren: Onorato, I.

Schlagworte: Neuroinformatics., Neurophysics.

Index Begriffe: Article / Letter to editor.

URL: https://repository.ubn.ru.nl//bitstream/handle/2066/317716/317716.pdf
https://hdl.handle.net/2066/317716
https://doi.org/10.1016/j.celrep.2025.115385

Revealing Synergistic Representations in Recurrent Neural Networks Using Partial Information Decomposition

Autoren: Kundu, Debottam Panzeri, Stefano Jost, Jürgen et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Modeling Spatial Hearing with Cochlear Implants Using Deep Neural Networks

Autoren: Musliyar Kurungattil, Mohammed Raees Dani, Meghal Macke, Jakob H. et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

UnitRefine: A community toolbox for automated spike sorting curation

Autoren: Jain, Anoushka Halcrow, Chris Greene, Robyn et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Toy Models of Identifiability for Neuroscience

Autoren: Martinelli, Flavio Pezon, Louis Wu, Zihan et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Neural dynamics: How small is big enough?

Autoren: Pour Akaber, Shirin Froussios, Kimon Bosone, Camilla et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Bayesian Nonparametric Decomposition of Transient Neural Oscillations

Autoren: Yamada, Shoto Nagel, Simon E. Kobeleva, Xenia et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Progress on building connectome-constrained models of the whole fly optic lobe

Autoren: Stefanidi, Zinovia Ulmer, Linda Lappalainen, Janne K. et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

BarlowTrack: Zero shot multi-object cell tracking using self-supervised learning

Autoren: Fieseler, Charles Lev, Itamar Eder, Stephanie et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Training a Hybrid Biological/Artificial Neural Network to Solve a Classification Problem

Autoren: Küchler, Joël Lebedenko, Alexey Schulz, Jona et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

A Framework to Model Your Model Based / Model Free Action Selection Hypothesis

Autoren: Grün, Felix Iossifidis, Ioannis

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Universal Neural-State Identification through Temporal Embeddings (UNITE)

Autoren: Behrad, Arman Schwabe, Maximilian Fakharian, Mohammad Taha et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Modeling neuromodulation at the single-neuron scale in excitatory-inhibitory networks

Autoren: Nilsson, Astrid Vestergaard, Christian Masson, Jean-Baptiste

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

A new perspective on LLM-based model discovery with applications in neuroscience

Autoren: Gedon, Daniel Wahl, Stefan Macke, Jakob H.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Don't omit burst shapes! Transient network events contain information about genetic background and experimental conditions complementary to traditional burst features

Autoren: Schäfer, Tim J. Giannakakis, Emmanouil Schmidt-Barbo, Paul et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

A population phase code in data-constrained RNNs of human working memory

Autoren: Pals, Matthijs Mormann, Florian Macke, Jakob H. et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics

Investigation of classic regression models for analysis of high-density electrophysiology

Autoren: Gerber, Daniel Graff, Peter S. Kampa, Björn et al.

Schlagwörter: Computational Neuroscience, Data analysis, machine learning and neuroinformatics