Saved in:
| Main Authors: | Krausse, Jann, Vasilache, Alexandru, Knobloch, Klaus, Becker, Juergen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.13400 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)
by: Vasilache, Alexandru, et al.
Published: (2024)
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
by: Vasilache, Alexandru, et al.
Published: (2025)
by: Vasilache, Alexandru, et al.
Published: (2025)
Training Neural Networks by Optimizing Neuron Positions
by: Erb, Laura, et al.
Published: (2025)
by: Erb, Laura, et al.
Published: (2025)
DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
by: Krausse, Jann, et al.
Published: (2026)
by: Krausse, Jann, et al.
Published: (2026)
A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications
by: Vasilache, Alexandru, et al.
Published: (2025)
by: Vasilache, Alexandru, et al.
Published: (2025)
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
by: Vasilache, Alexandru, et al.
Published: (2024)
by: Vasilache, Alexandru, et al.
Published: (2024)
SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks
by: Tretter, Florian, et al.
Published: (2025)
by: Tretter, Florian, et al.
Published: (2025)
YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
by: Pachideh, Brian, et al.
Published: (2026)
by: Pachideh, Brian, et al.
Published: (2026)
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
by: Mentzelopoulos, Georgios, et al.
Published: (2025)
by: Mentzelopoulos, Georgios, et al.
Published: (2025)
Spiking Neural Network for Intra-cortical Brain Signal Decoding
by: Yang, Song, et al.
Published: (2025)
by: Yang, Song, et al.
Published: (2025)
Hybrid Spiking Neural Network -- Transformer Video Classification Model
by: Bateni, Aaron
Published: (2024)
by: Bateni, Aaron
Published: (2024)
Loss Spike in Training Neural Networks
by: Li, Xiaolong, et al.
Published: (2023)
by: Li, Xiaolong, et al.
Published: (2023)
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition
by: Xiao, Shiting, et al.
Published: (2024)
by: Xiao, Shiting, et al.
Published: (2024)
Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
by: Neuman, A. Martina, et al.
Published: (2024)
by: Neuman, A. Martina, et al.
Published: (2024)
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)
by: Jahin, Md Abrar, et al.
Published: (2026)
Spiking Graph Neural Network on Riemannian Manifolds
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Quantization of Spiking Neural Networks Beyond Accuracy
by: Smith, Evan Gibson, et al.
Published: (2026)
by: Smith, Evan Gibson, et al.
Published: (2026)
A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
by: Baronig, Maximilian, et al.
Published: (2025)
by: Baronig, Maximilian, et al.
Published: (2025)
ChronoPlastic Spiking Neural Networks
by: Chaudhry, Sarim
Published: (2025)
by: Chaudhry, Sarim
Published: (2025)
SNNAX -- Spiking Neural Networks in JAX
by: Lohoff, Jamie, et al.
Published: (2024)
by: Lohoff, Jamie, et al.
Published: (2024)
Training of Spiking Neural Networks with Expectation-Propagation
by: Yao, Dan, et al.
Published: (2025)
by: Yao, Dan, et al.
Published: (2025)
Spiking Neural Networks with Random Network Architecture
by: Dai, Zihan, et al.
Published: (2025)
by: Dai, Zihan, et al.
Published: (2025)
Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)
by: Wang, Yanchen, et al.
Published: (2026)
Random Spiking Neural Networks are Stable and Spectrally Simple
by: Araya, Ernesto, et al.
Published: (2025)
by: Araya, Ernesto, et al.
Published: (2025)
Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)
by: Franco, Mario, et al.
Published: (2026)
Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)
by: Yin, Nan, et al.
Published: (2024)
On the Universal Representation Property of Spiking Neural Networks
by: Hundrieser, Shayan, et al.
Published: (2025)
by: Hundrieser, Shayan, et al.
Published: (2025)
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
by: Wang, Hanyang, et al.
Published: (2025)
by: Wang, Hanyang, et al.
Published: (2025)
Learning Long Sequences in Spiking Neural Networks
by: Stan, Matei Ioan, et al.
Published: (2023)
by: Stan, Matei Ioan, et al.
Published: (2023)
The Role of Temporal Hierarchy in Spiking Neural Networks
by: Moro, Filippo, et al.
Published: (2024)
by: Moro, Filippo, et al.
Published: (2024)
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations
by: Ioniţă, Alexandru, et al.
Published: (2025)
by: Ioniţă, Alexandru, et al.
Published: (2025)
Non-Singularity of the Gradient Descent map for Neural Networks with Piecewise Analytic Activations
by: Crăciun, Alexandru, et al.
Published: (2025)
by: Crăciun, Alexandru, et al.
Published: (2025)
Super Consistency of Neural Network Landscapes and Learning Rate Transfer
by: Noci, Lorenzo, et al.
Published: (2024)
by: Noci, Lorenzo, et al.
Published: (2024)
Quantum-Enhanced Weight Optimization for Neural Networks Using Grover's Algorithm
by: Jura, Stefan-Alexandru, et al.
Published: (2025)
by: Jura, Stefan-Alexandru, et al.
Published: (2025)
Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks
by: Bai, Dewei, et al.
Published: (2026)
by: Bai, Dewei, et al.
Published: (2026)
Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI
by: Mohan, Vivek, et al.
Published: (2025)
by: Mohan, Vivek, et al.
Published: (2025)
Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment
by: Zhao, Canyang, et al.
Published: (2026)
by: Zhao, Canyang, et al.
Published: (2026)
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)
by: Nguyen, Duc Anh, et al.
Published: (2025)
Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
Approximation Capabilities of Feedforward Neural Networks with GELU Activations
by: Yakovlev, Konstantin, et al.
Published: (2025)
by: Yakovlev, Konstantin, et al.
Published: (2025)
Similar Items
-
Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024) -
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance
by: Vasilache, Alexandru, et al.
Published: (2025) -
Training Neural Networks by Optimizing Neuron Positions
by: Erb, Laura, et al.
Published: (2025) -
DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
by: Krausse, Jann, et al.
Published: (2026) -
A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications
by: Vasilache, Alexandru, et al.
Published: (2025)