tag :: topic_neuroinspired

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1Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
R. Mukherji, M. Schöne, K. Nazeer, C. Mayr, D. Kappel, and A. Subramoney. WorkingPaper, (2024)
2 months ago by @scadsfct
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1Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
M. Schöne, {. Sushma, J. Zhuge, C. Mayr, A. Subramoney, and D. Kappel. WorkingPaper, (2024)
2 months ago by @scadsfct
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1ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers
Z. Chen, Z. Xiao, M. Akl, J. Leugring, O. Olajide, A. Malik, N. Dennler, C. Harper, S. Bose, {. Gonzalez and 8 other author(s). WorkingPaper, (2024)
2 months ago by @scadsfct
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1Single Train Multi Deploy on Topology Search Spaces using Kshot-Hypernet
J. Zhuge, {. Mayr, A. Subramoney, and D. Kappel. (2024)
2 months ago by @scadsfct
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2BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification
M. Kukushkin, M. Bogdan, and T. Schmid. IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, page 2987--2996. IEEE, (2024)
2 months ago by @scadsfct
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1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection
D. Kiakou, A. Adamopoulos, and N. Scherf. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", page 223--230. Springer, (2022)
3 months ago by @scadsfct
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topic_neuroinspired
Disease
Feature
Graph-Based
Impact
Investigating
Neuroimaging
Prediction
Selection
learning
topic_neuroinspiredDiseaseFeatureGraph-BasedImpactInvestigatingNeuroimagingPredictionSelectionlearning
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1A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study
E. Williams, M. Kienast, E. Medawar, J. Reinelt, A. Merola, S. Klopfenstein, A. Flint, P. Heeren, A. Poncette, F. Balzer and 2 other author(s). JMIR Medical Informatics, (2023)
3 months ago by @scadsfct
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topic_neuroinspired
(fhir-dhp)
ai
application
clinical
data
deployment
harmonization
pipeline
scalable
standardized
topic_neuroinspired(fhir-dhp)aiapplicationclinicaldatadeploymentharmonizationpipelinescalablestandardized
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1Open Problem: Active Representation Learning
N. Milosevic, G. M�ller, J. Huisken, and N. Scherf. accepted presented at ARLET workshop at ICLR 2024, (2024)
4 months ago by @scadsfct
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1Revealing the learning process in reinforcement learning agents through attention-oriented metrics
C. Beylier, S. Hofmann, and N. Scherf. accepted and presented at SciForDL'24 workshop at NeurIPS 2024, (2024)
4 months ago by @scadsfct
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1Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain
S. Hofmann, F. Beyer, S. Lapuschkin, O. Goltermann, M. Loeffler, K. M√ºller, A. Villringer, W. Samek, and A. Witte. NeuroImage, (2022)
4 months ago by @scadsfct
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topic_lifescience
Ageing,
Brain-age,
Cardiovascular
Explainable
Structural
a.i.,
deep
factors,
learning
mri,
risk
topic_neuroinspiredtopic_lifescienceAgeing,Brain-age,CardiovascularExplainableStructurala.i.,deepfactors,learningmri,risk
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1E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware
A. Rostami, B. Vogginger, Y. Yan, and C. Mayr. Frontiers in Neuroscience, (2022)
4 months ago by @scadsfct
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1Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning
L. Maiello, L. Ball, M. Micali, F. Iannuzzi, N. Scherf, R. Hoffmann, M. Gama de Abreu, P. Pelosi, and R. Huhle. Frontiers in Physiology, (February 2022)
4 months ago by @scadsfct
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1Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mapping
K. Podranski, K. Pine, T. Colnaghi, A. Marek, P. Scheibe, N. Scherf, and N. Weiskopf. (2022)
4 months ago by @scadsfct
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1CoBEA
J. Hoffmann, C. Fritzsch, and M. Bogdan. Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, ACM, (July 2022)
5 months ago by @scadsfct
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1Evolving hardware by direct bitstream manipulation of a modern FPGA
C. Fritzsch, J. Hoffmann, and M. Bogdan. 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE, (July 2022)
5 months ago by @scadsfct
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1Reduction of bitstream size for low-cost iCE40 FPGAs
C. Fritzsch, J. Hoffmann, and M. Bogdan. 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL), IEEE, (August 2022)
5 months ago by @scadsfct
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1Classification of Music-Evoked Emotions from EEG signals using Self-Organizing Maps
F. Beltran-Velandia, J. Gomez, M. Suarez, A. Ojeda, and E. Leon. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), IEEE, (July 2022)
5 months ago by @scadsfct
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1Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging
L. Lampe, H. Huppertz, S. Anderl-Straub, F. Albrecht, T. Ballarini, S. Bisenius, K. Mueller, S. Niehaus, K. Fassbender, K. Fliessbach and 13 other author(s). NeuroImage Clin., 37 (103320): 103320 (January 2023)
5 months ago by @scadsfct
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topic_neuroinspired
Dementia;
Diagnosis;
MRI;
Machine
Neurodegeneration;
Volumetry
learning;
topic_lifescience
unit_test
topic_neuroinspiredDementia;Diagnosis;MRI;MachineNeurodegeneration;Volumetrylearning;topic_lifescienceunit_test
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1Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks
M. Frey, C. Doeller, and C. Barry. (2023)
5 months ago by @scadsfct
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1Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
A. Subramoney, K. Nazeer, M. Schöne, C. Mayr, and D. Kappel. (2022)
5 months ago by @scadsfct
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publications (hide)21
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1Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models

1Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

1ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers

1Single Train Multi Deploy on Topology Search Spaces using Kshot-Hypernet

2BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification

1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

1A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study

1Open Problem: Active Representation Learning

1Revealing the learning process in reinforcement learning agents through attention-oriented metrics

1Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain

1E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware

1Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

1Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mapping

1CoBEA

1Evolving hardware by direct bitstream manipulation of a modern FPGA

1Reduction of bitstream size for low-cost iCE40 FPGAs

1Classification of Music-Evoked Emotions from EEG signals using Self-Organizing Maps

1Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging

1Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks

1Efficient recurrent architectures through activity sparsity and sparse back-propagation through time

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