Latest Research in Advanced Memory and Neural Computing

Top Research Topics in Advanced Memory and Neural Computing

• Advanced Memory and Neural Computing — 13 papers
• Neural and Evolutionary Computing — 10 papers
• Neurons and Cognition — 4 papers
• Ferroelectric and Negative Capacitance Devices — 3 papers
• Machine Learning — 3 papers
• Artificial Intelligence — 3 papers
• Computer Vision and Pattern Recognition — 2 papers
• Parallel Computing and Optimization Techniques — 2 papers
• Hardware Architecture — 2 papers
• Cryptography and Security — 2 papers

Highest-Cited Papers

1. Biomimetic Spiking Neural Graph Dynamics: Neuromorphic Memory Consolidation and Neurotransmitter Modulation in Autonomous Cognitive Operating Systems
2. Biomimetic Spiking Neural Graph Dynamics: Neuromorphic Memory Consolidation and Neurotransmitter Modulation in Autonomous Cognitive Operating Systems
3. Federated Learning with Spiking Neural Networks: A Lightweight and Privacy-Preserving Framework for Edge Intelligence
4. Federated Learning with Spiking Neural Networks: A Lightweight and Privacy-Preserving Framework for Edge Intelligence
5. Shallow recurrent decoders for neural and behavioural dynamics
6. Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks
7. Learnable Burst Quantization for Expressive and Efficient Spiking Neural Networks
8. Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays
9. Sliding-window training on readout layer enhances liquid state machines for temporal prediction
10. Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries
11. Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
12. Diffusion of neuromodulators for temporal credit assignment
13. Equivalence of approximation by networks of single- and multi-spike neurons
14. LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration
15. Pure Autonomous Gated Smart Memory Macro (Pure PSM-RAM): Mathematical Bit-Exactness Proofs, SystemVerilog Microarchitecture, and Multi-Workload Physical Verification
16. Pure Autonomous Gated Smart Memory Macro (Pure PSM-RAM): Mathematical Bit-Exactness Proofs, SystemVerilog Microarchitecture, and Multi-Workload Physical Verification
17. Exploring napping paradigm for Recurrent Spiking Neural Networks
18. URCHIN: A Horizontal Spiking Language Model for Data-Constrained Pretraining
19. Building Supervision into Hebbian Plasticity through Spike Agreement
20. Exact N:4 pruning and recurrent dependence: a retrospective case study in an adaptive spiking network