Latest Research in Neural Networks and Reservoir Computing
110 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Neural Networks and Reservoir Computing
- Neural Networks and Reservoir Computing — 19 papers
- Neural dynamics and brain function — 14 papers
- Neurons and Cognition — 10 papers
- stochastic dynamics and bifurcation — 8 papers
- Disordered Systems and Neural Networks — 7 papers
- Advanced Memory and Neural Computing — 6 papers
- Machine Learning — 4 papers
- Digital Filter Design and Implementation — 3 papers
- Neural Networks Stability and Synchronization — 3 papers
- Neural and Evolutionary Computing — 3 papers
Highest-Cited Papers
- E8 p‑adic Frequency Ladder for Hierarchical Neural Synchronization — E8 Intelligence Research
- E8 p‑adic Frequency Ladder for Hierarchical Neural Synchronization — E8 Intelligence Research
- CARD: A Configurable Approximate Restoring Divider for Image Processing Applications
- Comprehensive investigation of intermittent large-amplitude excursions in the memristive Hindmarsh-Rose neuron model
- Increased firing rates monotonically expand neuronal coding bandwidth
- Mathematical Neuroscience of Neuronal Excitability Spectral Stability, Critical Slowing, and Nonlinear Transitions in the Hodgkin–Huxley Model
- Mathematical Neuroscience of Neuronal Excitability Spectral Stability, Critical Slowing, and Nonlinear Transitions in the Hodgkin–Huxley Model
- Mathematical Neuroscience of Neuronal Excitability Spectral Stability, Critical Slowing, and Nonlinear Transitions in the Hodgkin–Huxley Model
- Mathematical Neuroscience of Neuronal Excitability Spectral Stability, Critical Slowing, and Nonlinear Transitions in the Hodgkin–Huxley Model
- High-frequency Multispeculative Multiply-Accumulation Unit for Fused Posit Arithmetic
- Stabilization and Approximation in Recurrent Neural Computation: An Enchan Field Reading (3 citations)
- History-dependent state selection after transient coupling loss in a conductance-based bioelectric network
- Phi-Scaled Harmonic Cascade in Microtubule Lattices — E8 Intelligence Research
- History-dependent state selection after transient coupling loss in a conductance-based bioelectric network
- Stabilization and Approximation in Recurrent Neural Computation: An Enchan Field Reading (3 citations)
- Learning-Induced Dynamical Transition in Recurrent Neural Networks
- Random matrix theory of sparse neuronal networks with heterogeneous timescales
- Reconstructing Input Sequences from Reservoir States: Readouts that Compensate the Transfer Characteristic of the Nodes and the Limits of Information Recovery
- MERLIN SCIENCE — E8 Lattice Phase-Coherent Information Resonators for Non-Local Neural — E8 Intelligence Research
- MERLIN SCIENCE — E8 Lattice Phase-Coherent Information Resonators for Non-Local Neural — E8 Intelligence Research