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Spike frequency adaptation and neocortical rhythms

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Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

Wulfram Gerstner

We study how neuronal connections in a population of spiking neurons affect the accuracy of stimulus estimation. Neurons in our model code for a one-dimensional orientation variable

\phi

. Connectivity between two neurons depends on the absolute differenc ...

2001

Spike frequency adaptation and neocortical rhythms

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Predicting spike timing of neocortical pyramidal neurons by simple threshold models

Effective minimal threshold models of neuronal activity

Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

Characterization of reliability of spike timing in spinal interneurons during oscillating inputs

Population dynamics of spiking neurons: fast transients, asynchronous states and locking

The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability

A network of tufted layer 5 pyramidal neurons

Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity

Effective minimal threshold models of neuronal activity

Characterization of reliability of spike timing in spinal interneurons during oscillating inputs

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

A network of tufted layer 5 pyramidal neurons

Population dynamics of spiking neurons: fast transients, asynchronous states and locking

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability