Pages that link to "Item:Q4409375"
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The following pages link to Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations (Q4409375):
Displaying 50 items.
- Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity (Q2315386) (← links)
- Short term memory properties of sensory neural architectures (Q2315389) (← links)
- Stochastic nonlinear time series forecasting using time-delay reservoir computers: performance and universality (Q2339418) (← links)
- Effective connectivity at synaptic level in humans: a review and future prospects (Q2342567) (← links)
- The cerebellum as a liquid state machine (Q2373489) (← links)
- From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection (Q2373491) (← links)
- Fading memory and time series prediction in recurrent networks with different forms of plasticity (Q2373494) (← links)
- Edge of chaos and prediction of computational performance for neural circuit models (Q2373495) (← links)
- Optimization and applications of echo state networks with leaky- integrator neurons (Q2373497) (← links)
- Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning (Q2373498) (← links)
- Decoupled echo state networks with lateral inhibition (Q2373499) (← links)
- An associative memory readout for ESNs with applications to dynamical pattern recognition (Q2373501) (← links)
- An experimental unification of reservoir computing methods (Q2373503) (← links)
- Learning grammatical structure with Echo State Networks (Q2373509) (← links)
- A fast SVD-hidden-nodes based extreme learning machine for large-scale data analytics (Q2418132) (← links)
- Modelling memory functions with recurrent neural networks consisting of input compensation units: I. Static situations (Q2459153) (← links)
- Travelling wave patterns in a model of the spinal pattern generator using spiking neurons (Q2500223) (← links)
- A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models (Q2507320) (← links)
- Game theory-inspired evolutionary algorithm for global optimization (Q2633166) (← links)
- Predicting shallow water dynamics using echo-state networks with transfer learning (Q2677718) (← links)
- Integration of velocity-dependent spatio-temporal structure of place cell activation during navigation in a reservoir model of prefrontal cortex (Q2688636) (← links)
- Global optimization of hyper-parameters in reservoir computing (Q2697169) (← links)
- Seeking optimal parameters for achieving a lightweight reservoir computing: a computational endeavor (Q2697183) (← links)
- Evolving Carbon Nanotube Reservoir Computers (Q2819138) (← links)
- Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons (Q2840864) (← links)
- Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way (Q2866115) (← links)
- Recurrent kernel machines: computing with infinite echo state networks (Q2885086) (← links)
- Liquid state machines: motivation, theory, and applications (Q2906568) (← links)
- Complexity in electro-optic delay dynamics: modelling, design and applications (Q2955562) (← links)
- A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction (Q3067067) (← links)
- A Systematic Method for Configuring VLSI Networks of Spiking Neurons (Q3116937) (← links)
- Decoding a Temporal Population Code (Q3160478) (← links)
- Belief Propagation in Networks of Spiking Neurons (Q3182480) (← links)
- Reservoir Computing with Computational Matter (Q3295753) (← links)
- Emergence of giant strongly connected components in continuum disk-spin percolation (Q3302657) (← links)
- Breaking symmetries of the reservoir equations in echo state networks (Q3388179) (← links)
- Revisiting the memory capacity in reservoir computing of directed acyclic network (Q3388647) (← links)
- Reservoir computing with swarms (Q3388662) (← links)
- Parameter extraction with reservoir computing: Nonlinear time series analysis and application to industrial maintenance (Q3388665) (← links)
- Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity (Q3388699) (← links)
- Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns (Q3399359) (← links)
- Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons (Q3564833) (← links)
- A Spiking Neuron as Information Bottleneck (Q3583485) (← links)
- A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing (Q3612128) (← links)
- Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory (Q3616504) (← links)
- Recurrent Infomax Generates Cell Assemblies, Neuronal Avalanches, and Simple Cell-Like Selectivity (Q3616505) (← links)
- FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES (Q3620276) (← links)
- Code, Context, and Epigenetic Catalysis in Gene Expression (Q3642960) (← links)
- Programming coevolutionary machines: the emerging conundrum (Q3645056) (← links)
- Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission (Q3650543) (← links)
