Latest Research in Advanced Memory and Neural Computing

Top Research Topics in Advanced Memory and Neural Computing

• Advanced Memory and Neural Computing — 12 papers
• Emerging Technologies — 6 papers
• Low-power high-performance VLSI design — 4 papers
• Neural Networks and Reservoir Computing — 4 papers
• Neuroscience and Neural Engineering — 3 papers
• Ferroelectric and Negative Capacitance Devices — 3 papers
• Hardware Architecture — 2 papers
• Planarian Biology and Electrostimulation — 2 papers
• Magnetic properties of thin films — 2 papers
• Neural and Evolutionary Computing — 1 papers

Highest-Cited Papers

1. Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation
2. General model and physical principles of memristor neurons
3. NeuroPDE+: A Scalable Neuromorphic PDE Accelerator Based on Spintronic and Ferroelectric Devices
4. category00: A Pre-Registered Re-Test of the Simplest Possible Categorical Task, with Status and Context from a Broader Real-Hardware Campaign
5. category00: A Pre-Registered Re-Test of the Simplest Possible Categorical Task, with Status and Context from a Broader Real-Hardware Campaign
6. History-dependent state selection after transient coupling loss in a conductance-based bioelectric network
7. Logic‐Native Ferroelectric Transistor Arrays for Neuromorphic Edge Vision
8. Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware
9. A device-agnostic framework for modeling resistive random-access memory devices using neural ordinary differential equations
10. Design and analysis of 10T and 16T hybrid full adder for AI/ML applications
11. Analog neural network–based wireless receiver
12. Capacitive in-memory vector–matrix multiplication computing with charge-trap memcapacitors
13. Autonomous robotic operation controlled by wave-based neuromorphic hardware
14. Thermodynamic learning
15. A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
16. Emulation and Mitigation of Multiple bit errors in SRAM based Space FPGAs
17. Breaking Landauer's Limit in Neuromorphic Architectures via Seonggil Matrix Theory: Utilizing Irreversible Thermodynamic Noise as a Computational Resource and Numerical Validation
18. On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence
19. Physical reservoir computing using nonlinear heat conduction phenomena in alumina ceramic plates
20. Nonlinear dynamics and susceptible spiking of threshold-switching Hodgkin–Huxley neurons