The Activity Phase of Postsynaptic Neurons in a Simplified Rhythmic Network Export

@article{citeulike:230122, abstract = {Many inhibitory rhythmic networks produce activity in a range of frequencies. The relative phase of activity between neurons in these networks is often a determinant of the network output. This relative phase is determined by the interaction between synaptic inputs to the neurons and their intrinsic properties. We show, in a simplified network consisting of an oscillator inhibiting a follower neuron, how the interaction between synaptic depression and a transient potassium current in the follower neuron determines the activity phase of this neuron. We derive a mathematical expression to determine at what phase of the oscillation the follower neuron becomes active. This expression can be used to understand which parameters determine the phase of activity of the follower as the frequency of the oscillator is changed. We show that in the presence of synaptic depression, there can be three distinct frequency intervals, in which the phase of the follower neuron is determined by different sets of parameters. Alternatively, when the synapse is not depressing, only one set of parameters determines the phase of activity at all frequencies.}, author = {Bose, Amitabha and Manor, Yair and Nadim, Farzan}, citeulike-article-id = {230122}, citeulike-linkout-0 = {http://www.metapress.com/content/R1T0X6G20T52K378}, comment = {Nice little neural model that shows how playing with the parameters can produce a wide range of neuron behaviour.}, journal = {Journal of Computational Neuroscience}, keywords = {dynamical\_systems, neuro}, number = {2}, pages = {245--261}, posted-at = {2005-06-16 20:51:00}, priority = {0}, title = {The Activity Phase of Postsynaptic Neurons in a Simplified Rhythmic Network}, url = {http://www.metapress.com/content/R1T0X6G20T52K378}, volume = {17}, year = {2004} }

TY - JOUR ID - citeulike:230122 L3 - citeulike-article-id:230122 N2 - Many inhibitory rhythmic networks produce activity in a range of frequencies. The relative phase of activity between neurons in these networks is often a determinant of the network output. This relative phase is determined by the interaction between synaptic inputs to the neurons and their intrinsic properties. We show, in a simplified network consisting of an oscillator inhibiting a follower neuron, how the interaction between synaptic depression and a transient potassium current in the follower neuron determines the activity phase of this neuron. We derive a mathematical expression to determine at what phase of the oscillation the follower neuron becomes active. This expression can be used to understand which parameters determine the phase of activity of the follower as the frequency of the oscillator is changed. We show that in the presence of synaptic depression, there can be three distinct frequency intervals, in which the phase of the follower neuron is determined by different sets of parameters. Alternatively, when the synapse is not depressing, only one set of parameters determines the phase of activity at all frequencies. IS - 2 JF - Journal of Computational Neuroscience EP - 261 TI - The Activity Phase of Postsynaptic Neurons in a Simplified Rhythmic Network VL - 17 SP - 245 KW - dynamical_systems KW - neuro N1 - Nice little neural model that shows how playing with the parameters can produce a wide range of neuron behaviour. AU - Bose, Amitabha AU - Manor, Yair AU - Nadim, Farzan PY - 2004/// UR - http://www.metapress.com/content/R1T0X6G20T52K378 ER -