ArticleFrontiers in neural circuits2013
Control strategies for underactuated neural ensembles driven by optogenetic stimulation.
Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement.Annual reviews in control · 2022Article
- State-space optimal feedback control of optogenetically driven neural activity.Journal of neural engineering · 2021Article
- Control Analysis and Design for Statistical Models of Spiking Networks.IEEE transactions on control of network systems · 2018Article
- Learning-based Approaches for Controlling Neural Spiking.Proceedings of the ... American Control Conference. American Control Conference · 2018Article
- Design strategies for dynamic closed-loop optogenetic neurocontrol in vivo.Journal of neural engineering · 2018Article
- Fundamental Limits of Forced Asynchronous Spiking with Integrate and Fire Dynamics.Journal of mathematical neuroscience · 2017Article
- Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.Annual review of biomedical engineering · 2017Review
- A network engineering perspective on probing and perturbing cognition with neurofeedback.Annals of the New York Academy of Sciences · 2017Review
- And Then There Was Light: Perspectives of Optogenetics for Deep Brain Stimulation and Neuromodulation.Frontiers in neuroscience · 2017Review
- Restoring Behavior via Inverse Neurocontroller in a Lesioned Cortical Spiking Model Driving a Virtual Arm.Frontiers in neuroscience · 2016Article
- Closed-loop and activity-guided optogenetic control.Neuron · 2015Review
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2 authors.
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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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