DocumentCode
3595652
Title
Stochastic neural firing properties in neurons of a cerebellar control system
Author
J?¶rntell, Henrik ; D?¼rango, Jonas ; Johansson, Rolf
Author_Institution
Dept. Exp. Med. Sci., Lund Univ., Lund, Sweden
fYear
2010
Firstpage
771
Lastpage
776
Abstract
The cerebellar system for the voluntary control of arm-hand movements involves a large number of different neuron types. These neurons are located both inside the cerebellum but also in extracerebellar brain structures, which provide processed motor and sensory information to the cerebellum. The various different neuron types have different morphology, receive different types, number and patterns of synaptic inputs and have different firing rates and kinetics. However, a common trait for all neurons is that their firing properties have clear stochastic components, which is evident in recordings from the neurons recorded in brain preparations when all synaptic inputs is removed (in vitro). Here, we take advantage of a unique, comprehensive database of the various neuron types present within the cerebellar arm-hand control system, recorded from the brain in vivo, to provide a comparative description of their spike firing patterns. Although the inter-spike intervals for most cell types in this system can be described by a simple type of distribution characteristic for stochastic neurons, it is only for a few exceptional cases that the consecutive inter-spike intervals are independent of each other. We conclude that the spike patterns of these neurons may be the result of multi-factorial sources of variability that include the patterns in the various synaptic inputs that neurons receive in vivo and the inherent stochasticity of spike generation.
Keywords
bioelectric phenomena; biomedical measurement; brain; medical signal processing; neurophysiology; stochastic processes; arm-hand movements; brain in vivo; cell types; cerebellar control system neurons; comprehensive database; consecutive inter-spike intervals; inter-spike intervals; neuron receive in vivo; spike firing patterns; spike generation; stochastic neural firing property; stochastic neurons; synaptic inputs; Biomembranes; Control systems; Correlation; Electric potential; Firing; Morphology; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on
ISSN
2155-1774
Print_ISBN
978-1-4244-7708-1
Type
conf
DOI
10.1109/BIOROB.2010.5626319
Filename
5626319
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