Pages that link to "Item:Q4855354"
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The following pages link to Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain (Q4855354):
Displaying 27 items.
- Dynamics of spiking neurons: between homogeneity and synchrony (Q385304) (← links)
- The response of cortical neurons to in vivo-like input current: Theory and experiment (Q999422) (← links)
- Universality in neural networks: The importance of the ''mean firing rate'' (Q1193733) (← links)
- Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns (Q1310108) (← links)
- Mean-field equations, bifurcation map and route to chaos in discrete time neural networks (Q1342184) (← links)
- Optimal firing in sparsely-connected low-activity attractor networks (Q1916511) (← links)
- Temporal coding in vision: Coding by the spike arrival times leads to oscillations in the case of moving targets (Q1916514) (← links)
- The voltage and spiking responses of subthreshold resonant neurons to structured and fluctuating inputs: persistence and loss of resonance and variability (Q2145417) (← links)
- A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties (Q2373054) (← links)
- A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input (Q2373188) (← links)
- Mean-field analysis of selective persistent activity in presence of short-term synaptic depression (Q2500151) (← links)
- Stationary bumps in networks of spiking neurons (Q2746408) (← links)
- Neural dynamics, bifurcations, and firing rates in a quadratic integrate-and-fire model with a recovery variable. I: Deterministic behavior (Q2919432) (← links)
- Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons (Q3149508) (← links)
- Minimal Models of Adapted Neuronal Response to <i>In Vivo</i>–Like Input Currents (Q3160479) (← links)
- Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness (Q3628007) (← links)
- Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials (Q4323330) (← links)
- Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics (Q4408929) (← links)
- Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron (Q4461323) (← links)
- Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories (Q4664515) (← links)
- Rate Models for Conductance-Based Cortical Neuronal Networks (Q4814199) (← links)
- A Simple and Stable Numerical Solution for the Population Density Equation (Q4816936) (← links)
- Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point (Q4832471) (← links)
- Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits (Q5378226) (← links)
- Spontaneous Slow Oscillations and Sequential Patterns Due to Short-Term Plasticity in a Model of the Cortex (Q5378288) (← links)
- Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories (Q5441304) (← links)
- First passage leapovers of Lévy flights and the proper formulation of absorbing boundary conditions (Q5870643) (← links)
