Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Song, Yu, Han, Liyuan, Xu, Bo, Zhang, Tielin |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Heterogeneous quantization regularizes spiking neural network activity
par: Moyal, Roy, et autres
Publié: (2024)
par: Moyal, Roy, et autres
Publié: (2024)
Causal pieces: analysing and improving spiking neural networks piece by piece
par: Dold, Dominik, et autres
Publié: (2025)
par: Dold, Dominik, et autres
Publié: (2025)
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
par: Gygax, Julia, et autres
Publié: (2024)
par: Gygax, Julia, et autres
Publié: (2024)
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
par: Knight, James C., et autres
Publié: (2025)
par: Knight, James C., et autres
Publié: (2025)
Phase codes emerge in recurrent neural networks optimized for modular arithmetic
par: Murray, Keith T.
Publié: (2023)
par: Murray, Keith T.
Publié: (2023)
Teaching signal synchronization in deep neural networks with prospective neurons
par: Zucchet, Nicoas, et autres
Publié: (2025)
par: Zucchet, Nicoas, et autres
Publié: (2025)
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
par: Zhang, Duzhen, et autres
Publié: (2024)
par: Zhang, Duzhen, et autres
Publié: (2024)
Functional connectomes of neural networks
par: Songdechakraiwut, Tananun, et autres
Publié: (2024)
par: Songdechakraiwut, Tananun, et autres
Publié: (2024)
Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
par: Keskin, Esila
Publié: (2026)
par: Keskin, Esila
Publié: (2026)
How connectivity structure shapes rich and lazy learning in neural circuits
par: Liu, Yuhan Helena, et autres
Publié: (2023)
par: Liu, Yuhan Helena, et autres
Publié: (2023)
Spiking mode-based neural networks
par: Lin, Zhanghan, et autres
Publié: (2023)
par: Lin, Zhanghan, et autres
Publié: (2023)
pyhgf: A neural network library for predictive coding
par: Legrand, Nicolas, et autres
Publié: (2024)
par: Legrand, Nicolas, et autres
Publié: (2024)
Equivalence of approximation by networks of single- and multi-spike neurons
par: Dold, Dominik, et autres
Publié: (2026)
par: Dold, Dominik, et autres
Publié: (2026)
Generalisation to unseen topologies: Towards control of biological neural network activity
par: Engwegen, Laurens, et autres
Publié: (2024)
par: Engwegen, Laurens, et autres
Publié: (2024)
Self-orthogonalizing attractor neural networks emerging from the free energy principle
par: Spisak, Tamas, et autres
Publié: (2025)
par: Spisak, Tamas, et autres
Publié: (2025)
Decoding the decoder: Contextual sequence-to-sequence modeling for intracortical speech decoding
par: Olak, Michal, et autres
Publié: (2026)
par: Olak, Michal, et autres
Publié: (2026)
Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
par: Qian, William, et autres
Publié: (2025)
par: Qian, William, et autres
Publié: (2025)
Synchronization and semantization in deep spiking networks
par: Oberste-Frielinghaus, Jonas, et autres
Publié: (2025)
par: Oberste-Frielinghaus, Jonas, et autres
Publié: (2025)
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
par: Ravichandran, Naresh, et autres
Publié: (2024)
par: Ravichandran, Naresh, et autres
Publié: (2024)
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
par: Liu, Tengjun, et autres
Publié: (2024)
par: Liu, Tengjun, et autres
Publié: (2024)
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
par: Zhang, Yizi, et autres
Publié: (2024)
par: Zhang, Yizi, et autres
Publié: (2024)
Dynamics of specialization in neural modules under resource constraints
par: Béna, Gabriel, et autres
Publié: (2021)
par: Béna, Gabriel, et autres
Publié: (2021)
Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
par: Zhang, Yinuo, et autres
Publié: (2025)
par: Zhang, Yinuo, et autres
Publié: (2025)
Digital twin brain: a bridge between biological intelligence and artificial intelligence
par: Xiong, Hui, et autres
Publié: (2023)
par: Xiong, Hui, et autres
Publié: (2023)
Emergence of robust looming selectivity via coordinated inhibitory neural computations
par: Fu, Qinbing, et autres
Publié: (2025)
par: Fu, Qinbing, et autres
Publié: (2025)
Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
par: Yu, Siyu, et autres
Publié: (2025)
par: Yu, Siyu, et autres
Publié: (2025)
Sufficient conditions for offline reactivation in recurrent neural networks
par: Krishna, Nanda H., et autres
Publié: (2025)
par: Krishna, Nanda H., et autres
Publié: (2025)
Structure of activity in multiregion recurrent neural networks
par: Clark, David G., et autres
Publié: (2024)
par: Clark, David G., et autres
Publié: (2024)
A differentiable brain simulator bridging brain simulation and brain-inspired computing
par: Wang, Chaoming, et autres
Publié: (2023)
par: Wang, Chaoming, et autres
Publié: (2023)
Connectivity structure and dynamics of nonlinear recurrent neural networks
par: Clark, David G., et autres
Publié: (2024)
par: Clark, David G., et autres
Publié: (2024)
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes
par: Pastorelli, Elena, et autres
Publié: (2023)
par: Pastorelli, Elena, et autres
Publié: (2023)
Modularity is the Bedrock of Natural and Artificial Intelligence
par: Salatiello, Alessandro
Publié: (2026)
par: Salatiello, Alessandro
Publié: (2026)
Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
par: Calle-Ortiz, Eduardo, et autres
Publié: (2025)
par: Calle-Ortiz, Eduardo, et autres
Publié: (2025)
NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
par: Cai, Wuque, et autres
Publié: (2025)
par: Cai, Wuque, et autres
Publié: (2025)
Evolving Cognitive Architectures
par: Serov, Alexander
Publié: (2025)
par: Serov, Alexander
Publié: (2025)
Implementing engrams from a machine learning perspective: XOR as a basic motif
par: de Lucas, Jesus Marco, et autres
Publié: (2024)
par: de Lucas, Jesus Marco, et autres
Publié: (2024)
Associative memory and dead neurons
par: Fanaskov, Vladimir, et autres
Publié: (2024)
par: Fanaskov, Vladimir, et autres
Publié: (2024)
Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
par: Pichat, Michael, et autres
Publié: (2024)
par: Pichat, Michael, et autres
Publié: (2024)
Computing with Canonical Microcircuits
par: Douglas, PK
Publié: (2025)
par: Douglas, PK
Publié: (2025)
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
par: Ding, Jun-En, et autres
Publié: (2025)
par: Ding, Jun-En, et autres
Publié: (2025)
Documents similaires
-
Heterogeneous quantization regularizes spiking neural network activity
par: Moyal, Roy, et autres
Publié: (2024) -
Causal pieces: analysing and improving spiking neural networks piece by piece
par: Dold, Dominik, et autres
Publié: (2025) -
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
par: Gygax, Julia, et autres
Publié: (2024) -
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
par: Knight, James C., et autres
Publié: (2025) -
Phase codes emerge in recurrent neural networks optimized for modular arithmetic
par: Murray, Keith T.
Publié: (2023)