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Control strategies for underactuated neural ensembles driven by optogenetic stimulation

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Control strategies for underactuated neural ensembles driven by optogenetic stimulation
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00054
Pubmed ID
Authors

ShiNung Ching, Jason T. Ritt

Abstract

Motivated by experiments employing optogenetic stimulation of cortical regions, we consider spike control strategies for ensembles of uncoupled integrate and fire neurons with a common conductance input. We construct strategies for control of spike patterns, that is, multineuron trains of action potentials, up to some maximal spike rate determined by the neural biophysics. We emphasize a constructive role for parameter heterogeneity, and find a simple rule for controllability in pairs of neurons. In particular, we determine parameters for which common drive is not limited to inducing synchronous spiking. For large ensembles, we determine how the number of controllable neurons varies with the number of observed (recorded) neurons, and what collateral spiking occurs in the full ensemble during control of the subensemble. While complete control of spiking in every neuron is not possible with a single input, we find that a degree of subensemble control is made possible by exploiting dynamical heterogeneity. As most available technologies for neural stimulation are underactuated, in the sense that the number of target neurons far exceeds the number of independent channels of stimulation, these results suggest partial control strategies that may be important in the development of sensory neuroprosthetics and other neurocontrol applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 8%
Japan 1 2%
Unknown 60 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Researcher 15 23%
Student > Doctoral Student 8 12%
Student > Postgraduate 5 8%
Professor > Associate Professor 4 6%
Other 7 11%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 29%
Engineering 15 23%
Neuroscience 12 18%
Mathematics 3 5%
Medicine and Dentistry 3 5%
Other 4 6%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2013.
All research outputs
#17,684,990
of 22,705,019 outputs
Outputs from Frontiers in Neural Circuits
#847
of 1,209 outputs
Outputs of similar age
#210,152
of 280,712 outputs
Outputs of similar age from Frontiers in Neural Circuits
#104
of 173 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.