Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Subharmonic Coordination in Networks of Neurons with Slow Conductances

View through CrossRef
We study the properties of a network consisting of two model neurons that are coupled by reciprocal inhibition. The study was motivated by data from a pair of cells in the crustacean stomatogastric ganglion. One of the model neurons is an endogenous burster; the other is excitable but not bursting in the absence of phasic input. We show that the presence of a hyperpolarization activated inward current (ih) in the excitable neuron allows these neurons to fire in integer subharmonics, with the excitable cell firing once for every N ≥ 1 bursts of the oscillator. The value of N depends on the amount of hyperpolarizing current injected into the excitable cell as well as the voltage activation curve of ih. For a fast synapse, these parameter changes do not affect the characteristic point in the oscillator cycle at which the excitable cell bursts; for slower synapses, such a relationship is maintained within small windows for each N. The network behavior in the current work contrasts with the activity of a pair of coupled oscillators for which the interaction is through phase differences; in the latter case, subharmonics exist if the uncoupled oscillators have near integral frequency relationships, but the phase relationships of the oscillators in general change significantly with parameters. The mechanism of this paper provides a potential means of coordinating subnetworks acting on different time scales but maintaining fixed relationships between characteristic points of the cycles.
Title: Subharmonic Coordination in Networks of Neurons with Slow Conductances
Description:
We study the properties of a network consisting of two model neurons that are coupled by reciprocal inhibition.
The study was motivated by data from a pair of cells in the crustacean stomatogastric ganglion.
One of the model neurons is an endogenous burster; the other is excitable but not bursting in the absence of phasic input.
We show that the presence of a hyperpolarization activated inward current (ih) in the excitable neuron allows these neurons to fire in integer subharmonics, with the excitable cell firing once for every N ≥ 1 bursts of the oscillator.
The value of N depends on the amount of hyperpolarizing current injected into the excitable cell as well as the voltage activation curve of ih.
For a fast synapse, these parameter changes do not affect the characteristic point in the oscillator cycle at which the excitable cell bursts; for slower synapses, such a relationship is maintained within small windows for each N.
The network behavior in the current work contrasts with the activity of a pair of coupled oscillators for which the interaction is through phase differences; in the latter case, subharmonics exist if the uncoupled oscillators have near integral frequency relationships, but the phase relationships of the oscillators in general change significantly with parameters.
The mechanism of this paper provides a potential means of coordinating subnetworks acting on different time scales but maintaining fixed relationships between characteristic points of the cycles.

Related Results

Managerial work and coordination: A practice-based approach onboard a racing sailboat
Managerial work and coordination: A practice-based approach onboard a racing sailboat
This article investigates managerial work in relation to the managerial function ‘coordination’. The work and efforts of managers have been assumed to be central to preparing coord...
Partial colocalization of NADPH-diaphorase and acetylcholinesterase positivity in spinal cord neurons
Partial colocalization of NADPH-diaphorase and acetylcholinesterase positivity in spinal cord neurons
The freely diffusible radical, nitric oxide (NO), has been assumed to act as a retrograde signaling molecule that modulates transmitter release. Acetylcholine (ACh) is known to fun...
Bayesian Spiking Neurons II: Learning
Bayesian Spiking Neurons II: Learning
In the companion letter in this issue (“Bayesian Spiking Neurons I: Inference”), we showed that the dynamics of spiking neurons can be interpreted as a form of Bayesian integration...
Redundancy-Aware Pruning of Convolutional Neural Networks
Redundancy-Aware Pruning of Convolutional Neural Networks
Pruning is an effective way to slim and speed up convolutional neural networks. Generally previous work directly pruned neural networks in the original feature space without consid...
Inhibition in Superior Colliculus Neurons in a Brightness Discrimination Task?
Inhibition in Superior Colliculus Neurons in a Brightness Discrimination Task?
Simultaneous recordings were collected from between two and four buildup neurons from the left and right superior colliculi in rhesus monkeys in a simple two-choice brightness disc...
Adaptation au déplacement prismatique sur la base d'une discordance entre la vision et l'audition
Adaptation au déplacement prismatique sur la base d'une discordance entre la vision et l'audition
Résumé L'adaptation est envisagée après une tâche d'exposition consistant à désigner une cible signalée à la fois par une lumière dont la position virtuelle est déplacée latér...
Obesity: sex and sympathetics
Obesity: sex and sympathetics
AbstractObesity increases sympathetic nerve activity (SNA) in men, but not women. Here, we review current evidence suggesting that sexually dimorphic sympathoexcitatory responses t...
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
A complex-valued Hopfield neural network (CHNN) with a multistate activation function is a multistate model of neural associative memory. The weight parameters need a lot of memory...

Back to Top