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Closed-loop firing rate regulation of two interacting excitatory and inhibitory neural populations of the basal ganglia
- Source :
- Biological Cybernetics (Modeling), Biological Cybernetics (Modeling), Springer Verlag, 2016, 110 (1), pp.55-71. ⟨10.1007/s00422-015-0678-y⟩
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- International audience; This paper develops a new closed-loop firing rate regulation strategy for a population of neurons in the subthalamic nucleus, derived using a model-based analysis of the basal ganglia. The system is described using a firing rate model, in order to analyse the generation of beta-band oscillations. On this system, a proportional regulation of the firing rate reduces the gain of the subthalamo-pallidal loop in the parkinsonian case, thus impeding pathological oscillation generation. A filter with a well-chosen frequency is added to this proportional scheme, in order to avoid a potential instability of the feedback loop due to actuation and measurement delays. Our main result is a set of conditions on the parameters of the stimulation strategy that guarantee both its stability and a prescribed delay margin. A discussion on the applicability of the proposed method and a complete set of mathematical proofs is included.
- Subjects :
- 0209 industrial biotechnology
General Computer Science
Population
02 engineering and technology
Inhibitory postsynaptic potential
Models, Biological
Basal Ganglia
[SPI.AUTO]Engineering Sciences [physics]/Automatic
03 medical and health sciences
020901 industrial engineering & automation
0302 clinical medicine
Control theory
Basal ganglia
Humans
education
Mathematics
Feedback, Physiological
Neurons
education.field_of_study
Quantitative Biology::Neurons and Cognition
Neural Inhibition
Parkinson Disease
Filter (signal processing)
Feedback loop
Loop (topology)
Subthalamic nucleus
Excitatory postsynaptic potential
030217 neurology & neurosurgery
Biotechnology
Subjects
Details
- ISSN :
- 14320770 and 03401200
- Volume :
- 110
- Database :
- OpenAIRE
- Journal :
- Biological Cybernetics
- Accession number :
- edsair.doi.dedup.....1f642cec3227e4628508b19a9bbac454
- Full Text :
- https://doi.org/10.1007/s00422-015-0678-y