Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus

The midbrain superior colliculus (SC) is a crucial sensorimotor interface in the generation of rapid saccadic gaze shifts. For every saccade it recruits a large population of cells in its vectorial motor map. Supra-threshold electrical microstimulation in the SC reveals that the stimulated site prod...

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Main Authors: Bahadir Kasap, A. John van Opstal
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fams.2018.00047/full
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author Bahadir Kasap
A. John van Opstal
author_facet Bahadir Kasap
A. John van Opstal
author_sort Bahadir Kasap
collection DOAJ
description The midbrain superior colliculus (SC) is a crucial sensorimotor interface in the generation of rapid saccadic gaze shifts. For every saccade it recruits a large population of cells in its vectorial motor map. Supra-threshold electrical microstimulation in the SC reveals that the stimulated site produces the saccade vector specified by the motor map. Electrically evoked saccades (E-saccades) have kinematic properties that strongly resemble natural, visual-evoked saccades (V-saccades), with little influence of the stimulation parameters. Moreover, synchronous stimulation at two sites yields eye movements that resemble a weighted vector average of the individual stimulation effects. Single-unit recordings have indicated that the SC population acts as a vectorial pulse generator by specifying the instantaneous gaze-kinematics through dynamic summation of the movement effects of all SC spike trains. But how to reconcile the a-specific stimulation pulses with these intricate saccade properties? We recently developed a spiking neural network model of the SC, in which microstimulation initially activates a relatively small set of (~50) neurons around the electrode tip, which subsequently sets up a large population response (~5,000 neurons) through lateral synaptic interactions. Single-site microstimulation in this network thus produces the saccade properties and firing rate profiles as seen in single-unit recording experiments. We here show that this mechanism also accounts for many results of simultaneous double stimulation at different SC sites. The resulting E-saccade trajectories resemble a weighted average of the single-site effects, in which stimulus current strength of the electrode pulses serve as weighting factors. We discuss under which conditions the network produces effects that deviate from experimental results.
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spelling doaj.art-670e2c6f7723496e97416d484c4bfe1f2022-12-21T19:51:53ZengFrontiers Media S.A.Frontiers in Applied Mathematics and Statistics2297-46872018-10-01410.3389/fams.2018.00047414130Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior ColliculusBahadir KasapA. John van OpstalThe midbrain superior colliculus (SC) is a crucial sensorimotor interface in the generation of rapid saccadic gaze shifts. For every saccade it recruits a large population of cells in its vectorial motor map. Supra-threshold electrical microstimulation in the SC reveals that the stimulated site produces the saccade vector specified by the motor map. Electrically evoked saccades (E-saccades) have kinematic properties that strongly resemble natural, visual-evoked saccades (V-saccades), with little influence of the stimulation parameters. Moreover, synchronous stimulation at two sites yields eye movements that resemble a weighted vector average of the individual stimulation effects. Single-unit recordings have indicated that the SC population acts as a vectorial pulse generator by specifying the instantaneous gaze-kinematics through dynamic summation of the movement effects of all SC spike trains. But how to reconcile the a-specific stimulation pulses with these intricate saccade properties? We recently developed a spiking neural network model of the SC, in which microstimulation initially activates a relatively small set of (~50) neurons around the electrode tip, which subsequently sets up a large population response (~5,000 neurons) through lateral synaptic interactions. Single-site microstimulation in this network thus produces the saccade properties and firing rate profiles as seen in single-unit recording experiments. We here show that this mechanism also accounts for many results of simultaneous double stimulation at different SC sites. The resulting E-saccade trajectories resemble a weighted average of the single-site effects, in which stimulus current strength of the electrode pulses serve as weighting factors. We discuss under which conditions the network produces effects that deviate from experimental results.https://www.frontiersin.org/article/10.3389/fams.2018.00047/fullsaccadesmotor mapspatial-temporal transformationelectrical stimulationpopulation codingvector averaging
spellingShingle Bahadir Kasap
A. John van Opstal
Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
Frontiers in Applied Mathematics and Statistics
saccades
motor map
spatial-temporal transformation
electrical stimulation
population coding
vector averaging
title Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
title_full Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
title_fullStr Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
title_full_unstemmed Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
title_short Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus
title_sort double stimulation in a spiking neural network model of the midbrain superior colliculus
topic saccades
motor map
spatial-temporal transformation
electrical stimulation
population coding
vector averaging
url https://www.frontiersin.org/article/10.3389/fams.2018.00047/full
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