Synaptic plasticity in medial vestibular nucleus neurons: comparison with computational requirements of VOR adaptation

Background: Vestibulo-ocular reflex (VOR) gain adaptation, a longstanding experimental model of cerebellar learning, utilizes sites of plasticity in both cerebellar cortex and brainstem. However, the mechanisms by which the activity of cortical Purkinje cells may guide synaptic plasticity in brainstem vestibular neurons are unclear. Theoretical analyses indicate that vestibular plasticity should depend upon the correlation between Purkinje cell and vestibular afferent inputs, so that, in gain-down learning for example, increased cortical activity should induce long-term depression (LTD) at vestibular synapses. Methodology/Principal Findings: Here we expressed this correlational learning rule in its simplest form, as an anti-Hebbian, heterosynaptic spike-timing dependent plasticity interaction between excitatory (vestibular) and inhibitory (floccular) inputs converging on medial vestibular nucleus (MVN) neurons (input-spike-timing dependent plasticity, iSTDP). To test this rule, we stimulated vestibular afferents to evoke EPSCs in rat MVN neurons in vitro. Control EPSC recordings were followed by an induction protocol where membrane hyperpolarizing pulses, mimicking IPSPs evoked by flocculus inputs, were paired with single vestibular nerve stimuli. A robust LTD developed at vestibular synapses when the afferent EPSPs coincided with membrane hyperpolarisation, while EPSPs occurring before or after the simulated IPSPs induced no lasting change. Furthermore, the iSTDP rule also successfully predicted the effects of a complex protocol using EPSP trains designed to mimic classical conditioning. Conclusions: These results, in strong support of theoretical predictions, suggest that the cerebellum alters the strength of vestibular synapses on MVN neurons through hetero-synaptic, anti-Hebbian iSTDP. Since the iSTDP rule does not depend on post-synaptic firing, it suggests a possible mechanism for VOR adaptation without compromising gaze-holding and VOR performance in vivo

Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough?

Classical Marr-Albus theories of cerebellar learning employ only cortical sites of plasticity. However, tests of these theories using adaptive calibration of the vestibulo–ocular reflex (VOR) have indicated plasticity in both cerebellar cortex and the brainstem. To resolve this long-standing conflict, we attempted to identify the computational role of the brainstem site, by using an adaptive filter version of the cerebellar microcircuit to model VOR calibration for changes in the oculomotor plant. With only cortical plasticity, introducing a realistic delay in the retinal-slip error signal of 100 ms prevented learning at frequencies higher than 2.5 Hz, although the VOR itself is accurate up to at least 25 Hz. However, the introduction of an additional brainstem site of plasticity, driven by the correlation between cerebellar and vestibular inputs, overcame the 2.5 Hz limitation and allowed learning of accurate high-frequency gains. This “cortex-first” learning mechanism is consistent with a wide variety of evidence concerning the role of the flocculus in VOR calibration, and complements rather than replaces the previously proposed “brainstem-first” mechanism that operates when ocular tracking mechanisms are effective. These results (i) describe a process whereby information originally learnt in one area of the brain (cerebellar cortex) can be transferred and expressed in another (brainstem), and (ii) indicate for the first time why a brainstem site of plasticity is actually required by Marr-Albus type models when high-frequency gains must be learned in the presence of error delay

Fine-Tuning and the Stability of Recurrent Neural Networks

A central criticism of standard theoretical approaches to constructing stable, recurrent model networks is that the synaptic connection weights need to be finely-tuned. This criticism is severe because proposed rules for learning these weights have been shown to have various limitations to their biological plausibility. Hence it is unlikely that such rules are used to continuously fine-tune the network in vivo. We describe a learning rule that is able to tune synaptic weights in a biologically plausible manner. We demonstrate and test this rule in the context of the oculomotor integrator, showing that only known neural signals are needed to tune the weights. We demonstrate that the rule appropriately accounts for a wide variety of experimental results, and is robust under several kinds of perturbation. Furthermore, we show that the rule is able to achieve stability as good as or better than that provided by the linearly optimal weights often used in recurrent models of the integrator. Finally, we discuss how this rule can be generalized to tune a wide variety of recurrent attractor networks, such as those found in head direction and path integration systems, suggesting that it may be used to tune a wide variety of stable neural systems

Learning the Optimal Control of Coordinated Eye and Head Movements

Various optimality principles have been proposed to explain the characteristics of coordinated eye and head movements during visual orienting behavior. At the same time, researchers have suggested several neural models to underly the generation of saccades, but these do not include online learning as a mechanism of optimization. Here, we suggest an open-loop neural controller with a local adaptation mechanism that minimizes a proposed cost function. Simulations show that the characteristics of coordinated eye and head movements generated by this model match the experimental data in many aspects, including the relationship between amplitude, duration and peak velocity in head-restrained and the relative contribution of eye and head to the total gaze shift in head-free conditions. Our model is a first step towards bringing together an optimality principle and an incremental local learning mechanism into a unified control scheme for coordinated eye and head movements

'VOR' - an interactive iPad model of the combined angular and linear vestibulo-ocular reflex

The mammalian vestibular system consists of a series of sensory organs located in the labyrinths of the inner ear that are sensitive to angular and linear movements of the head. Afferent inputs from the vestibular end organs contribute to balance, proprioception and vision. The vestibulo-ocular reflex (VOR) driven by these sensory inputs produces oculomotor responses in a direction opposite to head movement which tend to stabilise visual images on the retina. We present a model, in the form of a software application called VOR, which represents a simplified view of this complex system. The basis for our model is the hypothesis that afferent vestibular signals are integrated to maintain a notional internal representation of the head position (RHP). The vestibulo-ocular reflex maintains gaze towards a world-fixed point relative to the RHP, regardless of the actual head position. The RHP will imperfectly match the real head position when end organ input imperfectly reports head movements, such as can occur in cases of organ dysfunction and even in healthy subjects due to adaptation to motion stimuli. We do not claim that any specific observable part of the real vestibulo-ocular system corresponds to the RHP, but it seems reasonable to suggest that it might exist as a literal "neural network", trained through evolution and experience to maintain gaze during head movement. We hypothesise that the real VOR is supported by this internal representation, continually updated by afferent signals from the vestibular end organs, and that VOR eye responses tend to direct the eyes towards a fixed point in the world. Human vestibulo-ocular research typically employs equipment to which a subject is securely attached and allows rotation around, and sometimes linear movement along, one or more axes ("rotating chair") while attempting to maintain gaze on a fixation point, fixed relative to the head or world. A series of consecutive movements are referred to as a "motion profile". Meanwhile eye movements are recorded, using scleral search coils (or, more recently, video cameras and image-processing software) which can detect the horizontal, vertical and torsional components of the direction of each eye. VOR allows the user to define motion profiles and predicts the eye movements that a researcher or clinician might expect to observe in a real subject during such motion profiles. For example, the "on-centre rotation" motion profile specifies that the subject's head is positioned upright and centred around the vertical axis of the rotating chair, with a chair-fixed fixation point 1m in front of the subject. The chair accelerates angularly to 200°/sec over 20 seconds, rotates at a constant 200°/sec for 60 seconds, then decelerates to stationary over 20 seconds. The model accurately predicts the transient nystagmus that would be expected: its direction, duration, phase velocity and even the brief secondary nystagmus which is characteristic of adaptation to constant velocity rotation. VOR also allows the user to define end organ condition configurations, e.g. "normal", "bilateral vestibular loss", "unilateral superior neuritis", which are represented as a series of response gains attached to the sensory inputs from each end organ, relative to a nominal perfect gain of 1, and various other parameters which are derived from the human vestibular system, including the rate of drift of gaze to fixation point in light and dark, the rate at which the end organs adapt to constant stimuli, and quick-phase trigger dependencies. The VOR is not the only source of eye movement while attempting to maintain gaze on a fixation point. In our model, eye position drifts towards the fixation point at a nominal fixed rate. If this slow drift is insufficient to maintain gaze on the fixation point, a saccade or quick phase is triggered. Hence the transduction of mechanical forces at the labyrinths into sensory signals, subject to end organ conditions and adaptation that reduce the strength of the neuronal signals, maintain the RHP. Eye movement is then determined entirely by (a) the direction from RHP to the (world-referenced) fixation point, and (b) the disparity between eye direction and actual fixation point (which may be head-referenced). To validate the model, we prepared 24 motion profile/end organ condition combinations, compared the outputs from our model with real world observations, and found the results to be similar. Similarities include a simple first approximation of the linear and angular VOR; nystagmus caused by a subject's attempts to maintain fixation on a head-referenced target during head movement; decay of nystagmus through adaptation to stimulus, including secondary nystagmus; indefinitely prolonged nystagmus during off-vertical axis rotation (OVAR); rapid decay of nystagmus during the "tilt dump" motion profile, and dynamic cyclovergence during vertical linear acceleration. VOR is programmed in Objective-C using Xcode and runs on the Apple iPad. Its screen displays a 3d graphical representation of the virtual subject's head and eyes, including imaginary lines of sight to clarify eye movements. The user may program an effectively unlimited series of linear and angular motions of the rotating chair, and of the virtual subject's head relative to the chair. They may also program the gain (roughly, the sensitivity) associated with each end organ and other variables relating to the subject. They may select a series of internal variables to chart during the motion profile such as head velocity, eye direction, neuron firing rates, etc., while simultaneously displaying the head and eyes. VOR can record a video screen capture of the virtual head, eyes and lines of sight during the execution of a motion profile, a CSV file containing the internal variables at each time interval, a PNG image of the labelled chart, PDF descriptions of the motion profile and end organ condition configurations, and data files defining the motion profiles and end organ conditions which can then be exchanged between researchers/clinicians. Predefined motion profiles include: lateral, LARP and RALP head impulses; lateral head impulse with close fixation point; sinusoidal yaw, on-centre rotation, linear heave along Y axis, linear oscillation along X, Y and Z axes; linear sled along Y axis; forward- and backward-facing centrifugation; off-vertical axis rotation; tilt dump; and head tilt. Predefined conditions include: normal; left unilateral vestibular loss; bilateral vestibular loss; left superior neuritis; and "perfect" (unrealistic gain of 1 in otoliths, producing perfect linear VOR). All of these motion profiles and conditions may easily be modified, created and shared

'VOR' - an interactive iPad model of the combined angular and linear vestibulo-ocular reflex

The mammalian vestibular system consists of a series of sensory organs located in the labyrinths of the inner ear that are sensitive to angular and linear movements of the head. Afferent inputs from the vestibular end organs contribute to balance, proprioception and vision. The vestibulo-ocular reflex (VOR) driven by these sensory inputs produces oculomotor responses in a direction opposite to head movement which tend to stabilise visual images on the retina. We present a model, in the form of a software application called VOR, which represents a simplified view of this complex system. The basis for our model is the hypothesis that afferent vestibular signals are integrated to maintain a notional internal representation of the head position (RHP). The vestibulo-ocular reflex maintains gaze towards a world-fixed point relative to the RHP, regardless of the actual head position. The RHP will imperfectly match the real head position when end organ input imperfectly reports head movements, such as can occur in cases of organ dysfunction and even in healthy subjects due to adaptation to motion stimuli. We do not claim that any specific observable part of the real vestibulo-ocular system corresponds to the RHP, but it seems reasonable to suggest that it might exist as a literal "neural network", trained through evolution and experience to maintain gaze during head movement. We hypothesise that the real VOR is supported by this internal representation, continually updated by afferent signals from the vestibular end organs, and that VOR eye responses tend to direct the eyes towards a fixed point in the world. Human vestibulo-ocular research typically employs equipment to which a subject is securely attached and allows rotation around, and sometimes linear movement along, one or more axes ("rotating chair") while attempting to maintain gaze on a fixation point, fixed relative to the head or world. A series of consecutive movements are referred to as a "motion profile". Meanwhile eye movements are recorded, using scleral search coils (or, more recently, video cameras and image-processing software) which can detect the horizontal, vertical and torsional components of the direction of each eye. VOR allows the user to define motion profiles and predicts the eye movements that a researcher or clinician might expect to observe in a real subject during such motion profiles. For example, the "on-centre rotation" motion profile specifies that the subject's head is positioned upright and centred around the vertical axis of the rotating chair, with a chair-fixed fixation point 1m in front of the subject. The chair accelerates angularly to 200°/sec over 20 seconds, rotates at a constant 200°/sec for 60 seconds, then decelerates to stationary over 20 seconds. The model accurately predicts the transient nystagmus that would be expected: its direction, duration, phase velocity and even the brief secondary nystagmus which is characteristic of adaptation to constant velocity rotation. VOR also allows the user to define end organ condition configurations, e.g. "normal", "bilateral vestibular loss", "unilateral superior neuritis", which are represented as a series of response gains attached to the sensory inputs from each end organ, relative to a nominal perfect gain of 1, and various other parameters which are derived from the human vestibular system, including the rate of drift of gaze to fixation point in light and dark, the rate at which the end organs adapt to constant stimuli, and quick-phase trigger dependencies. The VOR is not the only source of eye movement while attempting to maintain gaze on a fixation point. In our model, eye position drifts towards the fixation point at a nominal fixed rate. If this slow drift is insufficient to maintain gaze on the fixation point, a saccade or quick phase is triggered. Hence the transduction of mechanical forces at the labyrinths into sensory signals, subject to end organ conditions and adaptation that reduce the strength of the neuronal signals, maintain the RHP. Eye movement is then determined entirely by (a) the direction from RHP to the (world-referenced) fixation point, and (b) the disparity between eye direction and actual fixation point (which may be head-referenced). To validate the model, we prepared 24 motion profile/end organ condition combinations, compared the outputs from our model with real world observations, and found the results to be similar. Similarities include a simple first approximation of the linear and angular VOR; nystagmus caused by a subject's attempts to maintain fixation on a head-referenced target during head movement; decay of nystagmus through adaptation to stimulus, including secondary nystagmus; indefinitely prolonged nystagmus during off-vertical axis rotation (OVAR); rapid decay of nystagmus during the "tilt dump" motion profile, and dynamic cyclovergence during vertical linear acceleration. VOR is programmed in Objective-C using Xcode and runs on the Apple iPad. Its screen displays a 3d graphical representation of the virtual subject's head and eyes, including imaginary lines of sight to clarify eye movements. The user may program an effectively unlimited series of linear and angular motions of the rotating chair, and of the virtual subject's head relative to the chair. They may also program the gain (roughly, the sensitivity) associated with each end organ and other variables relating to the subject. They may select a series of internal variables to chart during the motion profile such as head velocity, eye direction, neuron firing rates, etc., while simultaneously displaying the head and eyes. VOR can record a video screen capture of the virtual head, eyes and lines of sight during the execution of a motion profile, a CSV file containing the internal variables at each time interval, a PNG image of the labelled chart, PDF descriptions of the motion profile and end organ condition configurations, and data files defining the motion profiles and end organ conditions which can then be exchanged between researchers/clinicians. Predefined motion profiles include: lateral, LARP and RALP head impulses; lateral head impulse with close fixation point; sinusoidal yaw, on-centre rotation, linear heave along Y axis, linear oscillation along X, Y and Z axes; linear sled along Y axis; forward- and backward-facing centrifugation; off-vertical axis rotation; tilt dump; and head tilt. Predefined conditions include: normal; left unilateral vestibular loss; bilateral vestibular loss; left superior neuritis; and "perfect" (unrealistic gain of 1 in otoliths, producing perfect linear VOR). All of these motion profiles and conditions may easily be modified, created and shared

Active Vision for Scene Understanding

Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot\u27s view in order to explore interaction possibilities of the scene

소뇌 퍼킨지 세포 내재적 흥분성의 활동-의존적 조절

학위논문 (박사)-- 서울대학교 대학원 : 의과대학 의과학과, 2019. 2. 김상정.Learning rule has been thought to be implemented by activity-dependent modifications of synaptic function and neuronal excitability which contributing to maximization the information flow in the neural network. Since the sensory information is conveyed by forms of action potential (AP) firing, the plasticity of the intrinsic excitability (intrinsic plasticity) has been highlighted the computational feature of the brain. Given the cerebellar Purkinje cells (PCs) is the sole output neurons in the cerebellar cortex, coordination of the synaptic plasticity at the parallel fiber (PF) to PC synapses including long-term depression (LTD) and long-term potentiation (LTP) but also the intrinsic plasticity may play a essential role in information processing in the cerebellum. In this Dissertation, I have investigated several features of intrinsic plasticity in the cerebellar PCs in an activity-dependent manner and their cellular mechanism. Furthermore, the functional implications of the intrinsic plasticity in the cerebellum-dependent behavioral output are discussed. Firstly, I first cover the ion channels regulating the spiking activity of the cerebellar PCs and the cellular mechanisms of the plastic changes in excitability. Various ion channels indeed harmonize the cellular activity and shaping the optimal ranges of the neuronal excitability. Among the ion channels expressed in the cerebellar PCs, hyperpolarization-activated cyclic nucleotide-gated (HCN) channels contribute to the non-Hebbian homeostatic intrinsic plasticity in the cerebellar PCs. Chronic activity-deprivation of PC activity caused the upregulation of agonist-independent activity of type 1 metabotropic glutamate receptor (mGluR1). The increased mGluR1 activity consequently enhanced the HCN channel current density through protein kinase A (PKA) pathway thereby downregulation of intrinsic excitability in PCs. In addition, the intrinsic excitability of PCs is found to be modulated by synaptic activity. Of interest, I investigated that the PF-PC LTD is accompanied by LTD of intrinsic excitability (LTD-IE). The LTD-IE indeed shared intracellular signal cascade for governing the synaptic LTD such as large amount of Ca2+ influx, mGluR1, protein kinase C (PKC) and Ca2+-calmodulin-dependent protein kinase II (CaMKII) activation. Interestingly, the LTD-IE reduced PC spike output without changes in patterns of synaptic integration and spike generation, suggesting that the intrinsic plasticity alters the quantity of information rather than the quality of information processing. In consistent, the LTD-IE was shown in the floccular PCs when the PF-PC LTD occurs. Notably, not only the synaptic LTD but also LTD-IE was found to be formed at the conditioned dendritic branch. Thus, synaptic plasticity could significantly affect to the neuronal net output through the synergistic coordination of synaptic and intrinsic plasticity in the dendrosomatic axis of the cerebellar PCs. In conclusion, the activity-dependent modulation of intrinsic excitability may contribute to dynamic tuning of the cerebellar PC output for appropriate signal transduction into the downstream neurons of the cerebellar PCs.생명체는 끊임없이 주변환경에 반응하여 행동을 수정하며 이러한 적응은 변화하는 환경에서 생존에 필수적이다. 소뇌-운동 학습은 대표적인 적응 행동의 예이다. 다양한 감각 신호들이 소뇌로 전달되어 처리된 후 소뇌 출력을 통해 운동 협응이 이루어진다. 이러한 소뇌-운동 학습 및 소뇌 기능 조절의 세포 생리학적 기전으로 소뇌 퍼킨지 세포의 시냅스 장기저하가 오랫동안 주목받았다. 퍼킨지 세포의 시냅스 장기저하가 나타나지 않는 유전자 변형 동물 모델들에서 소뇌-운동 학습이 정상적으로 일어나지 않는 현상이 관찰되었기 때문에 시냅스 장기저하 이론은 오랜 시간 소뇌-운동 학습의 기전으로 지지 받았다. 하지만 최근 10년 동안의 연구결과는 시냅스 장기저하만으로 소뇌-운동 학습 및 기능 조절을 설명할 수 없다고 반박한다. 특히 소뇌 퍼킨지 세포는 소뇌 피질로 전달된 감각신호를 처리하여 출력을 담당하는 유일한 신경세포이므로 운동 학습 상황에서 소뇌의 출력이 어떻게 조절되는지를 이해하는 것이 중요하게 인식되었다. 감각 신호가 신경 회로 내에서 전달될 때 활동 전압의 형태로 전달되기 때문에 활동 전압의 발생 빈도 및 패턴 조절 양상에 대한 이해는 소뇌 운동 학습의 기전을 밝히는 데에 중요하다. 본 박사학위 논문에서는 먼저 소뇌 퍼킨지 세포의 내재적 흥분성을 조절하는 여러가지 이온 통로들의 특성에 대해 정리하고 더 나아가 내재적 흥분성 가소성의 기전 및 생리학적 의의를 제시하였다. 소뇌 퍼킨지 세포의 흥분성은 활동-의존적 가소성을 보이는데, 시냅스의 활동이 아닌 소뇌 회로 활동성의 장기적인 변화에 대응하여 나타날 수 있다. 소뇌 회로의 활동을 2일 간의 tetrodotoxin (TTX, 1µM) 처리를 통해 저해하였을 때 과분극에 의해 발생하는 내향전류 (Ih) 증가를 통한 소뇌 퍼킨지 세포의 흥분성이 감소되는 것을 전기생리학적 기록을 통해 관찰하였다. 이러한 장기적인 소뇌 회로의 활동성 변화에 의한 퍼킨지 세포의 내재적 흥분성 감소의 세포생리학적 기전으로서 대사성 글루타메이트 수용체의 길항제-비의존적인 활동성 증가 및 그로 인한 PKA의 증가에 의해 발생함을 생화학 및 전기생리학적 방법을 통해 규명하였다. 이처럼 소뇌 퍼킨지 세포의 내재적 흥분성은 소뇌 회로 내에서 역동적으로 조절되어 소뇌 기능을 조절한다. 더 나아가 퍼킨지 세포의 흥분성 조절과 소뇌-기억형성과의 관계성을 검증하기 위해 소뇌-학습의 세포생리학적 기전으로 알려져있는 퍼킨지 세포 시냅스 장기저하 유도 후 흥분성의 변화를 관찰하였다. 흥미롭게도 퍼킨지 세포의 내재적 흥분성 역시 시냅스 가소성과 마찬가지로 평행섬유와 등반섬유의 활성을 통해 가소성을 보이는데 이 흥분성의 가소성은 대사성 글루타메이트 수용체, PKC 그리고 CaMKII와 같은 시냅스 장기 저하를 야기하는 세포 내 신호전달기전을 필요로 한다. 이러한 실험결과를 통해 시냅스 장기저하가 발생할 때 소뇌 퍼킨지 세포의 내재적 흥분성 역시 같이 감소하여 소뇌 운동 시 소뇌 피질의 출력이 크게 감소함을 예상할 수 있다. 실제로 소뇌 퍼킨지 세포의 신경가소성을 유도한 후 평행섬유를 자극하여 나타나는 퍼킨지 세포의 활동 전압 발생 빈도를 측정해 본 결과, 시냅스 장기저하와 흥분성의 장기저하가 함께 발생했을 때에만 소뇌 퍼킨지 세포의 출력이 유의미하게 감소하는 것을 관찰하였다. 특히 퍼킨지 세포의 활동-의존적 흥분성의 가소성은 시냅스 가소성과 마찬가지로 특정 수상돌기 가지 특이적으로 발생함을 관찰하였다. 이를 통해 퍼킨지 세포의 시냅스 가소성과 흥분성 가소성의 유기적인 연합을 통해 소뇌 퍼킨지 세포의 출력신호가 조절되어 소뇌-운동학습을 조절함을 알 수 있다. 결론적으로 본 박사학위 논문의 연구결과들은 소뇌 퍼킨지 세포의 출력은 퍼킨지 세포의 시냅스 가소성 혹은 흥분성의 조절과 비선형관계를 보이며 이러한 시냅스 가소성과 내재적 가소성의 시너지는 소뇌 정보 저장 능력을 극대화하여 소뇌 기능 조절 및 정보저장에 중요한 역할을 담당하고 있음을 제시한다.Preface Abstract General introduction Chapter 1. Summary of the previous literatures and further implication for physiological significance of the intrinsic plasticity in the cerebellar Purkinje cells Summary. 1.1 Ion channels and spiking activity of the cerebellar Purkinje cells 1.1.1 Voltage-gated Na+ channels 1.1.2 Voltage-gated K+ channels and Ca2+-activated K+ channels 1.2 Activity-dependent plasticity of intrinsic excitability through ion channel modulation 1.2.1 Activity-dependent plasticity of intrinsic. excitability through ion channel 1.2.2 Possible mechanisms for LTD-IE. 1.2.3 Upside down: to what extent does bidirectional intrinsic plasticity in. the cerebellar dependent-motor learning do? 1.3 The further implication of intrinsic plasticity in the memory circuits. Chapter 2. Type 1 metabotropic glutamate receptor mediates homeostatic control of intrinsic excitability through hyperpolarization-activated current in cerebellar Purkinje cells Introduction Material and Method Results 2.1 Chronic activity-deprivation reduces intrinsic excitability of the cerebellar. Purkinje cells 35 2.2 Homeostatic intrinsic plasticity of the cerebellar Purkinje cells is mediated activity-dependent modulation of Ih 2.3 Homeostatic intrinsic plasticity of the cerebellar Purkinje cells requires agonist-independent action of mGluR1 2.4 Homeostatic intrinsic plasticity of the cerebellar Purkinje cells is mediated. PKA activity Discussion Chapter 3. Long-Term Depression of Intrinsic Excitability Accompanied by Synaptic Depression in Cerebellar Purkinje Cells Introduction Material and Method Results 3.1 LTD of intrinsic excitability of PC accompanied by PF-PC LTD 3.2 LTD-IE has different developing kinetics from synaptic LTD 3.3 LTD-IE was not reversed by subsequent LTP-IE induction 3.4 The number of recruited synapses were not correlated to the magnitude of the neuronal 3.5 Information processing after LTD induction LTD-IE was not. reversed by subsequent LTP-IE induction 3.6 LTD-IE required the Ca2+-signal but not depended on the Ca2+-activated K+ channels Discussion Chapter 4. Synergies between synaptic depression and intrinsic plasticity of the cerebellar Purkinje cells determining the Purkinje cell output Introduction Material and Method Restuls 4.1 Timing rules of intrinsic plasticity of floccular PCs 87 4.2 Intrinsic plasticity shares intracellular signaling for PF-PC LTD 4.3 Conditioned PF branches contributing to robust reduction of spike output of the PCs 4.4 Sufficient changes in spiking output require both of plasticity, synaptic and. intrinsic plasticity 4.5 Supralinearity of spiking output coordination after induction of PC plasticity Discussion Bibliography Abstract in Korean AcknowledgementDocto

Implementation of a line attractor-based model of the gaze holding integrator using nonlinear spiking neuron models

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.Includes bibliographical references (leaves 30-31).by Ben Y. Reis.M.Eng