Pages that link to "Item:Q3510934"
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The following pages link to Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons (Q3510934):
Displaying 26 items.
- A simple mechanism for beyond-pairwise correlations in integrate-and-fire neurons (Q271656) (← links)
- A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model (Q282684) (← links)
- Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. IV: Structuring synaptic pathways among recurrent connections (Q309504) (← links)
- The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability (Q385295) (← links)
- Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I: Input selectivity-strengthening correlated input pathways (Q843253) (← links)
- The response of cortical neurons to in vivo-like input current: Theory and experiment (Q999422) (← links)
- Rectification of correlation by a sigmoid nonlinearity (Q1315268) (← links)
- Higher-order correlations in common input shapes the output spiking activity of a neural population (Q1620505) (← links)
- Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence (Q1631751) (← links)
- Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise (Q1705138) (← links)
- Macroscopic neural mass model constructed from a current-based network model of spiking neurons (Q1707873) (← links)
- Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity (Q1710578) (← links)
- Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron (Q1851589) (← links)
- Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach (Q2069021) (← links)
- Variance of filtered signals: characterization for linear reaction networks and application to neurotransmission dynamics (Q2118488) (← links)
- Temporal correlations in stochastic networks of spiking neurons (Q2780860) (← links)
- Mechanisms That Modulate the Transfer of Spiking Correlations (Q3015454) (← links)
- Integrate-and-Fire Neurons Driven by Correlated Stochastic Input (Q3149509) (← links)
- One-Dimensional Population Density Approaches to Recurrently Coupled Networks of Neurons with Noise (Q3196649) (← links)
- Towards a self-consistent description of irregular and asynchronous cortical activity (Q3301550) (← links)
- Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations (Q3568378) (← links)
- Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons (Q4408917) (← links)
- Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons (Q5323764) (← links)
- Joint statistics of strongly correlated neurons via dimensionality reduction (Q5347989) (← links)
- Input Statistics and Hebbian Cross-Talk Effects (Q5378338) (← links)
- Extraction of Synaptic Input Properties <i>in Vivo</i> (Q5380817) (← links)
