Saved in:
| Main Authors: | Fanaskov, Vladimir, Oseledets, Ivan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.13866 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Binding threshold units with artificial oscillatory neurons
by: Fanaskov, Vladimir, et al.
Published: (2025)
by: Fanaskov, Vladimir, et al.
Published: (2025)
Equivalence of approximation by networks of single- and multi-spike neurons
by: Dold, Dominik, et al.
Published: (2026)
by: Dold, Dominik, et al.
Published: (2026)
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
by: Zenke, Friedemann, et al.
Published: (2024)
by: Zenke, Friedemann, et al.
Published: (2024)
Implementing engrams from a machine learning perspective: XOR as a basic motif
by: de Lucas, Jesus Marco, et al.
Published: (2024)
by: de Lucas, Jesus Marco, et al.
Published: (2024)
Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
by: Pichat, Michael, et al.
Published: (2024)
by: Pichat, Michael, et al.
Published: (2024)
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
by: Song, Yu, et al.
Published: (2024)
by: Song, Yu, et al.
Published: (2024)
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
by: Kriener, Laura, et al.
Published: (2024)
by: Kriener, Laura, et al.
Published: (2024)
Exploring Biologically Inspired Mechanisms of Adversarial Robustness
by: Holzhausen, Konstantin, et al.
Published: (2024)
by: Holzhausen, Konstantin, et al.
Published: (2024)
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
by: Pichat, Michael, et al.
Published: (2024)
by: Pichat, Michael, et al.
Published: (2024)
Modularity is the Bedrock of Natural and Artificial Intelligence
by: Salatiello, Alessandro
Published: (2026)
by: Salatiello, Alessandro
Published: (2026)
Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
by: Calle-Ortiz, Eduardo, et al.
Published: (2025)
by: Calle-Ortiz, Eduardo, et al.
Published: (2025)
NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
by: Cai, Wuque, et al.
Published: (2025)
by: Cai, Wuque, et al.
Published: (2025)
Evolving Cognitive Architectures
by: Serov, Alexander
Published: (2025)
by: Serov, Alexander
Published: (2025)
Digital twin brain: a bridge between biological intelligence and artificial intelligence
by: Xiong, Hui, et al.
Published: (2023)
by: Xiong, Hui, et al.
Published: (2023)
Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
by: Yu, Siyu, et al.
Published: (2025)
by: Yu, Siyu, et al.
Published: (2025)
Computing with Canonical Microcircuits
by: Douglas, PK
Published: (2025)
by: Douglas, PK
Published: (2025)
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
by: Ding, Jun-En, et al.
Published: (2025)
by: Ding, Jun-En, et al.
Published: (2025)
Phase codes emerge in recurrent neural networks optimized for modular arithmetic
by: Murray, Keith T.
Published: (2023)
by: Murray, Keith T.
Published: (2023)
Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems
by: Nguyen, Phuong-Nam
Published: (2025)
by: Nguyen, Phuong-Nam
Published: (2025)
A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
by: Su, Jie, et al.
Published: (2025)
by: Su, Jie, et al.
Published: (2025)
A Concept-Value Network as a Brain Model
by: Greer, Kieran
Published: (2019)
by: Greer, Kieran
Published: (2019)
Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
by: Gu, Zhaotian, et al.
Published: (2026)
by: Gu, Zhaotian, et al.
Published: (2026)
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
by: Krausse, Sven, et al.
Published: (2025)
by: Krausse, Sven, et al.
Published: (2025)
Continual Developmental Neurosimulation Using Embodied Computational Agents
by: Alicea, Bradly, et al.
Published: (2021)
by: Alicea, Bradly, et al.
Published: (2021)
Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality
by: Lässig, Francesco
Published: (2025)
by: Lässig, Francesco
Published: (2025)
The role of neuromorphic principles in the future of biomedicine and healthcare
by: Hwang, Grace M., et al.
Published: (2026)
by: Hwang, Grace M., et al.
Published: (2026)
Decoding Cortical Microcircuits: A Generative Model for Latent Space Exploration and Controlled Synthesis
by: Liu, Xingyu, et al.
Published: (2025)
by: Liu, Xingyu, et al.
Published: (2025)
Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
A Bio-Inspired Research Paradigm of Collision Perception Neurons Enabling Neuro-Robotic Integration: The LGMD Case
by: Qin, Ziyan, et al.
Published: (2025)
by: Qin, Ziyan, et al.
Published: (2025)
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
by: Liu, Yuhan Helena, et al.
Published: (2025)
by: Liu, Yuhan Helena, et al.
Published: (2025)
Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
by: Wu, Wei, et al.
Published: (2025)
by: Wu, Wei, et al.
Published: (2025)
How connectivity structure shapes rich and lazy learning in neural circuits
by: Liu, Yuhan Helena, et al.
Published: (2023)
by: Liu, Yuhan Helena, et al.
Published: (2023)
A differentiable brain simulator bridging brain simulation and brain-inspired computing
by: Wang, Chaoming, et al.
Published: (2023)
by: Wang, Chaoming, et al.
Published: (2023)
Competitive plasticity to reduce the energetic costs of learning
by: van Rossum, Mark CW
Published: (2023)
by: van Rossum, Mark CW
Published: (2023)
The Fast Lane Hypothesis: Von Economo Neurons Implement a Biological Speed-Accuracy Tradeoff
by: Keskin, Esila
Published: (2026)
by: Keskin, Esila
Published: (2026)
Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)
by: Zucchet, Nicoas, et al.
Published: (2025)
Lu.i -- A low-cost electronic neuron for education and outreach
by: Stradmann, Yannik, et al.
Published: (2024)
by: Stradmann, Yannik, et al.
Published: (2024)
Spiking representation learning for associative memories
by: Ravichandran, Naresh, et al.
Published: (2024)
by: Ravichandran, Naresh, et al.
Published: (2024)
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes
by: Pastorelli, Elena, et al.
Published: (2023)
by: Pastorelli, Elena, et al.
Published: (2023)
"What" x "When" working memory representations using Laplace Neural Manifolds
by: Sarkar, Aakash, et al.
Published: (2024)
by: Sarkar, Aakash, et al.
Published: (2024)
Similar Items
-
Binding threshold units with artificial oscillatory neurons
by: Fanaskov, Vladimir, et al.
Published: (2025) -
Equivalence of approximation by networks of single- and multi-spike neurons
by: Dold, Dominik, et al.
Published: (2026) -
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
by: Zenke, Friedemann, et al.
Published: (2024) -
Implementing engrams from a machine learning perspective: XOR as a basic motif
by: de Lucas, Jesus Marco, et al.
Published: (2024) -
Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
by: Pichat, Michael, et al.
Published: (2024)