scholarly journals Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons

2019 ◽  
Author(s):  
Huu Hoang ◽  
Eric J. Lang ◽  
Yoshito Hirata ◽  
Isao T. Tokuda ◽  
Kazuyuki Aihara ◽  
...  

SUMMARYOne of the main challenges facing online neural learning systems with numerous modifiable parameters (or “degrees-of-freedom”) such as the cerebellum, is how to avoid “overfitting”. We previously proposed that the cerebellum controls the degree-of-freedoms during learning by gradually modulating the electric coupling strength between inferior olive neurons. Here, we develop a modeling technique to estimate effective coupling strengths between inferior olive neurons from in vivo recordings of Purkinje cell complex spike activity in three different coupling conditions. We show that high coupling strengths induce synchronous firing and decrease the dimensionality of inferior olive firing dynamics. In contrast, intermediate coupling strengths induce chaotic firing and increase the dimensionality of firing dynamics. Our results thus support the hypothesis that effective coupling controls the dimensionality of inferior olive firing, which may allow the olivocerebellar system to learn effectively from a small training sample set despite the low firing frequency of inferior olive neurons.

2010 ◽  
Vol 68 ◽  
pp. e435 ◽  
Author(s):  
Miho Onizuka ◽  
Nicolas Schweighofer ◽  
Yuichi Katori ◽  
Kazuyuki Aihara ◽  
Keisuke Toyama ◽  
...  

2019 ◽  
Author(s):  
Huu Hoang ◽  
Eric J. Lang ◽  
Yoshito Hirata ◽  
Isao T. Tokuda ◽  
Kazuyuki Aihara ◽  
...  

2007 ◽  
Vol 104 (40) ◽  
pp. 15911-15916 ◽  
Author(s):  
S. Khosrovani ◽  
R. S. Van Der Giessen ◽  
C. I. De Zeeuw ◽  
M. T. G. De Jeu

2020 ◽  
Vol 16 (7) ◽  
pp. e1008075
Author(s):  
Huu Hoang ◽  
Eric J. Lang ◽  
Yoshito Hirata ◽  
Isao T. Tokuda ◽  
Kazuyuki Aihara ◽  
...  

2016 ◽  
Vol 28 (11) ◽  
pp. 2505-2532 ◽  
Author(s):  
Sou Nobukawa ◽  
Haruhiko Nishimura

It is well known that cerebellar motor control is fine-tuned by the learning process adjusted according to rich error signals from inferior olive (IO) neurons. Schweighofer and colleagues proposed that these signals can be produced by chaotic irregular firing in the IO neuron assembly; such chaotic resonance (CR) was replicated in their computer demonstration of a Hodgkin-Huxley (HH)-type compartment model. In this study, we examined the response of CR to a periodic signal in the IO neuron assembly comprising the Llinás approach IO neuron model. This system involves empirically observed dynamics of the IO membrane potential and is simpler than the HH-type compartment model. We then clarified its dependence on electrical coupling strength, input signal strength, and frequency. Furthermore, we compared the physiological validity for IO neurons such as low firing rate and sustaining subthreshold oscillation between CR and conventional stochastic resonance (SR) and examined the consistency with asynchronous firings indicated by the previous model-based studies in the cerebellar learning process. In addition, the signal response of CR and SR was investigated in a large neuron assembly. As the result, we confirmed that CR was consistent with the above IO neuron’s characteristics, but it was not as easy for SR.


2011 ◽  
Vol 200 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Sabine Scheibe ◽  
Mario M. Dorostkar ◽  
Christian Seebacher ◽  
Rainer Uhl ◽  
Frank Lison ◽  
...  

2013 ◽  
Vol 47 ◽  
pp. 42-50 ◽  
Author(s):  
Isao T. Tokuda ◽  
Huu Hoang ◽  
Nicolas Schweighofer ◽  
Mitsuo Kawato

Neuron ◽  
2009 ◽  
Vol 62 (3) ◽  
pp. 388-399 ◽  
Author(s):  
Alexandre Mathy ◽  
Sara S.N. Ho ◽  
Jenny T. Davie ◽  
Ian C. Duguid ◽  
Beverley A. Clark ◽  
...  

2021 ◽  
Vol 11 (7) ◽  
pp. 3158
Author(s):  
Néstor J. Jarque-Bou ◽  
Margarita Vergara ◽  
Joaquín L. Sancho-Bru

Thumb opposition is essential for grasping, and involves the flexion and abduction of the carpometacarpal and metacarpophalangeal joints of the thumb. The high number of degrees of freedom of the thumb in a fairly small space makes the in vivo recording of its kinematics a challenging task. For this reason, along with the very limited independence of the abduction movement of the metacarpophalangeal joint, many devices do not implement sensors to measure such movement, which may lead to important implications in terms of the accuracy of thumb models. The aims of this work are to examine the correlation between thumb joints and to obtain an equation that allows thumb metacarpophalangeal abduction/adduction movement to be estimated from the other joint motions of the thumb, during the commonest grasps used during activities of daily living and in free movement. The correlation analysis shows that metacarpophalangeal abduction/adduction movement can be expressed mainly from carpometacarpal joint movements. The model thus obtained presents a low estimation error (6.29°), with no significant differences between grasps. The results could benefit most fields that do not typically include this joint movement, such as virtual reality, teleoperation, 3D modeling, prostheses, and exoskeletons.


1997 ◽  
Vol 77 (5) ◽  
pp. 2736-2752 ◽  
Author(s):  
Yair Manor ◽  
John Rinzel ◽  
Idan Segev ◽  
Yosef Yarom

Manor, Yair, John Rinzel, Idan Segev, and Yosef Yarom. Low-amplitude oscillations in the inferior olive: a model based on electrical coupling of neurons with heterogeneous channel densities. J. Neurophysiol. 77: 2736–2752, 1997. The mechanism underlying subthreshold oscillations in inferior olivary cells is not known. To study this question, we developed a single-compartment, two-variable, Hodgkin-Huxley-like model for inferior olive neurons. The model consists of a leakage current and a low-threshold calcium current, whose kinetics were experimentally measured in slices. Depending on the maximal calcium and leak conductances, we found that a neuron model's response to current injection could be of four qualitatively different types: always stable, spontaneously oscillating, oscillating with injection of current, and bistable with injection of current. By the use of phase plane techniques, numerical integration, and bifurcation analysis, we subdivided the two-parameter space of channel densities into four regions corresponding to these behavioral types. We further developed, with the use of such techniques, an empirical rule of thumb that characterizes whether two cells when coupled electrically can generate sustained, synchronized oscillations like those observed in inferior olivary cells in slices, of low amplitude (0.1–10 mV) in the frequency range 4–10 Hz. We found that it is not necessary for either cell to be a spontaneous oscillator to obtain a sustained oscillation. On the other hand, two spontaneous oscillators always form an oscillating network when electrically coupled with any arbitrary coupling conductance. In the case of an oscillating pair of electrically coupled nonidentical cells, the coupling current varies periodically and is nonzero even for very large coupling values. The coupling current acts as an equalizing current to reconcile the differences between the two cells' ionic currents. It transiently depolarizes one cell and/or hyperpolarizes the other cell to obtain the regenerative response(s) required for the synchronized oscillation. We suggest that the subthreshold oscillations observed in the inferior olive can emerge from the electrical coupling between neurons with different channel densities, even if the inferior olive nucleus contains no or just a small proportion of spontaneously oscillating neurons.


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