Pages that link to "Item:Q1765301"

The following pages link to On the computational power of circuits of spiking neurons (Q1765301):

Displaying 28 items.

• Modelling and analysing neural networks using a hybrid process algebra (Q264526) (← links)
• On the computational complexity of spiking neural P systems (Q609034) (← links)
• Isolated word recognition with the Liquid State Machine: a case study (Q1044682) (← links)
• Memory in linear recurrent neural networks in continuous time (Q1784560) (← links)
• Generalization bounds for sparse random feature expansions (Q2105118) (← links)
• Strange properties of linear reservoirs in the infinitely large limit for prediction of continuous-time signals (Q2106521) (← links)
• A modified batch intrinsic plasticity method for pre-training the random coefficients of extreme learning machines (Q2133017) (← links)
• Novel systematic mathematical computation based on the spiking frequency gate (SFG): innovative organization of spiking computer (Q2200720) (← links)
• Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations (Q2246361) (← links)
• From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection (Q2373491) (← links)
• Edge of chaos and prediction of computational performance for neural circuit models (Q2373495) (← links)
• A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models (Q2507320) (← links)
• Optimization of the memory reset rate of a quantum echo-state network for time sequential tasks (Q2688047) (← links)
• (Q2780064) (← links)
• Liquid state machines: motivation, theory, and applications (Q2906568) (← links)
• CMOL implementation of spiking neurons and spike-timing dependent plasticity (Q3018531) (← links)
• On the Computational Power of Threshold Circuits with Sparse Activity (Q3421380) (← links)
• (Q4496258) (← links)
• Computation in a Single Neuron: Hodgkin and Huxley Revisited (Q4814194) (← links)
• Lower Bounds for the Computational Power of Networks of Spiking Neurons (Q4880197) (← links)
• Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits (Q5214411) (← links)
• Efficient Computation Based on Stochastic Spikes (Q5294330) (← links)
• Efficient Associative Computation with Discrete Synapses (Q5380385) (← links)
• Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights (Q5380664) (← links)
• Movement Generation with Circuits of Spiking Neurons (Q5696505) (← links)
• Numerical computation of partial differential equations by hidden-layer concatenated extreme learning machine (Q6159015) (← links)
• Spiking neural P systems with mute rules (Q6559032) (← links)
• SRMD: sparse random mode decomposition (Q6575285) (← links)