Pages that link to "Item:Q4814194"

The following pages link to Computation in a Single Neuron: Hodgkin and Huxley Revisited (Q4814194):

Displaying 32 items.

• Stimulus features, resetting curves, and the dependence on adaptation (Q385307) (← links)
• A combined offline-online algorithm for Hodgkin-Huxley neural networks (Q777030) (← links)
• Spikes annihilation in the Hodgkin-Huxley neuron (Q937717) (← links)
• Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model (Q999412) (← links)
• On the description of neuronal output properties using spike train data (Q1117159) (← links)
• Context-dependent coding in single neurons (Q1732594) (← links)
• Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli (Q1746818) (← links)
• A simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities (Q2116015) (← links)
• Modulation of spike and burst rate in a minimal neuronal circuit with feed-forward inhibition (Q2441497) (← links)
• Some joys and trials of mathematical neuroscience (Q2450880) (← links)
• Effects of stimulus transformations on estimates of sensory neuron selectivity (Q2500156) (← links)
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models (Q2500241) (← links)
• A comparison between abstract and biophysical neuron models (Q2722370) (← links)
• Single neuron as a quantum computer -- morphogenetic neuron (Q2737587) (← links)
• Using topology to tame the complex biochemistry of genetic networks (Q2955472) (← links)
• Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features (Q3527186) (← links)
• Bayesian Spiking Neurons I: Inference (Q3539955) (← links)
• Feature Selection in Simple Neurons: How Coding Depends on Spiking Dynamics (Q3556796) (← links)
• What Causes a Neuron to Spike? (Q4814197) (← links)
• Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions (Q4819822) (← links)
• Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? (Q5004373) (← links)
• The biosensing with NV centers in diamond: Related challenges (Q5114370) (← links)
• A phase transition in the first passage of a Brownian process through a fluctuating boundary with implications for neural coding (Q5171003) (← links)
• Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli (Q5378221) (← links)
• Identifying Functional Bases for Multidimensional Neural Computations (Q5378234) (← links)
• An Empirical Model for Reliable Spiking Activity (Q5380296) (← links)
• Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space (Q5387447) (← links)
• Single Neuron Computation: From Dynamical System to Feature Detector (Q5441729) (← links)
• Estimating Information Rates with Confidence Intervals in Neural Spike Trains (Q5457581) (← links)
• A COMPARATIVE STUDY OF THE HODGKIN–HUXLEY AND FITZHUGH–NAGUMO MODELS OF NEURON PULSE PROPAGATION (Q5484818) (← links)
• Characterization of dynamics and information processing of integrate-and-fire neuron models (Q5877997) (← links)
• A biophysical and statistical modeling paradigm for connecting neural physiology and function (Q6172492) (← links)