Nonlinear time series analysis of jerk congenital nystagmus.

Abstract:

:Nonlinear dynamics provides a complementary framework to control theory for the quantitative analysis of the oculomotor control system. This paper presents a number of findings relating to the aetiology and mechanics of the pathological ocular oscillation jerk congenital nystagmus (jerk CN). A range of time series analysis techniques were applied to recorded jerk CN waveforms, and also to simulated jerk waveforms produced by an established model in which the oscillations are a consequence of an unstable neural integrator. The results of the analysis were then interpreted within the framework of a generalised model of the unforced oculomotor system.This work suggests that for jerk oscillations, the origin of the instability lies in one of the five oculomotor subsystems, rather than in the final common pathway (the neural integrator and muscle plant). Additionally, experimental estimates of the linearised foveation dynamics imply that a refixating fast phase induced by a near-homoclinic trajectory will result in periodic oscillations. Local dimension calculations show that the dimension of the experimental jerk CN data increases during the fast phase, indicating that the oscillations are not periodic, and hence that the refixation mechanism is of greater complexity than a homoclinic reinjection. The dimension increase is hypothesised to result either from a signal-dependent noise process in the saccadic system, or the activation of additional oculomotor components at the beginning of the fast phase. The modification of a recent saccadic system model to incorporate biologically realistic signal-dependent noise is suggested, in order to test the first of these hypotheses.

journal_name

J Comput Neurosci

authors

Akman OE,Broomhead DS,Clement RA,Abadi RV

doi

10.1007/s10827-006-7816-4

subject

Has Abstract

pub_date

2006-10-01 00:00:00

pages

153-70

issue

2

eissn

0929-5313

issn

1573-6873

journal_volume

21

pub_type

杂志文章
  • A neuronal network for the logic of Limax learning.

    abstract::We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particular, how blocking to a previously conditioned stimulus in the presence of the unconditional stimulus, can emerge as a dynamical property of ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-006-8097-7

    authors: Goel P,Gelperin A

    更新日期:2006-12-01 00:00:00

  • Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli.

    abstract::The response of neurons to external stimuli greatly depends on the intrinsic dynamics of the network. Here, the intrinsic dynamics are modeled as coupling and the external input is modeled as shared and unshared noise. We assume the neurons are repetitively firing action potentials (i.e., neural oscillators), are weak...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0120-8

    authors: Ly C,Ermentrout GB

    更新日期:2009-06-01 00:00:00

  • Slowdown of BCM plasticity with many synapses.

    abstract::During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it remains one of the major models of unsupervised plasticity to this day...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00715-7

    authors: Froc M,van Rossum MCW

    更新日期:2019-04-01 00:00:00

  • Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise.

    abstract::A neuron receives input from other neurons via electrical pulses, so-called spikes. The pulse-like nature of the input is frequently neglected in analytical studies; instead, the input is usually approximated to be Gaussian. Recent experimental studies have shown, however, that an assumption underlying this approximat...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0649-5

    authors: Droste F,Lindner B

    更新日期:2017-08-01 00:00:00

  • Role of hyperpolarization-activated conductances in the lateral superior olive: a modeling study.

    abstract::This modeling study examines the possible functional roles of two hyperpolarization-activated conductances in lateral superior olive (LSO) principal neurons. Inputs of these LSO neurons are transformed into an output, which provides a firing-rate code for a certain interaural sound intensity difference (IID) range. Re...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-5637-5

    authors: Szalisznyó K

    更新日期:2006-04-01 00:00:00

  • Dendritic Ih selectively blocks temporal summation of unsynchronized distal inputs in CA1 pyramidal neurons.

    abstract::The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/b:jcns.0000004837.81595.b0

    authors: Migliore M,Messineo L,Ferrante M

    更新日期:2004-01-01 00:00:00

  • Extracting wave structure from biological data with application to responses in turtle visual cortex.

    abstract::Waves have long been thought to be a fundamental mechanism for communicating information within a medium and are widely observed in biological systems. However, a quantitative analysis of biological waves is confounded by the variability and complexity of the response. This paper proposes a robust technique for extrac...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/B:JCNS.0000025689.01581.26

    authors: Robbins KA,Senseman DM

    更新日期:2004-05-01 00:00:00

  • A temporal mechanism for generating the phase precession of hippocampal place cells.

    abstract::The phase relationship between the activity of hippocampal place cells and the hippocampal theta rhythm systematically processes as the animal runs through the region in an environment called the place field of the cell. We present a minimal biophysical model of the phase precession of place cells in region CA3 of the...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008976210366

    authors: Bose A,Booth V,Recce M

    更新日期:2000-07-01 00:00:00

  • A simple model of human foveal ganglion cell responses to hyperacuity stimuli.

    abstract::We developed a physiologically plausible model of the first steps of spatial visual information processing in the fovea of the human retina. With the predictions of this model we could support the hypothesis that, for moderate contracts (< or = 40%), hyperacuity is mediated by the magnocellular (MC-) pathway. Despite ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/BF00158338

    authors: Wachtler T,Wehrhahn C,Lee BB

    更新日期:1996-03-01 00:00:00

  • Visual responses of crayfish ocular motoneurons: an information theoretical analysis.

    abstract::Motoneuron responses were elicited by global visual motion and stepwise displacements of an illuminated stripe. Stimulus protocols were identical to those used in previous behavioral studies of compensatory eyestalk reflexes. The firing rates and directional selectivity of the motoneuron responses were measured with r...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1025873027017

    authors: Miller CS,Johnson DH,Schroeter JP,Myint L,Glantz RM

    更新日期:2003-09-01 00:00:00

  • Model of familiarity discrimination in the perirhinal cortex.

    abstract::Much evidence indicates that recognition memory involves two separable processes, recollection and familiarity discrimination, with familiarity discrimination being dependent on the perirhinal cortex of the temporal lobe. Here, we describe a new neural network model designed to mimic the response patterns of perirhina...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008925909305

    authors: Bogacz R,Brown MW,Giraud-Carrier C

    更新日期:2001-01-01 00:00:00

  • Disrupted cholinergic modulation can underlie abnormal gamma rhythms in schizophrenia and auditory hallucination.

    abstract::The pathophysiology of auditory hallucination, a common symptom of schizophrenia, has yet been understood, but during auditory hallucination, primary auditory cortex (A1) shows paradoxical responses. When auditory stimuli are absent, A1 becomes hyperactive, while A1 responses to auditory stimuli are reduced. Such acti...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-017-0666-4

    authors: Lee JH

    更新日期:2017-12-01 00:00:00

  • A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system.

    abstract::Motivated by experimental observations of the head direction system, we study a three population network model that operates as a continuous attractor network. This network is able to store in a short-term memory an angular variable (the head direction) as a spatial profile of activity across neurons in the absence of...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-6559-y

    authors: Boucheny C,Brunel N,Arleo A

    更新日期:2005-03-01 00:00:00

  • Encoding the fine-structured mechanism of action potential dynamics with qualitative motifs.

    abstract::This work presents a neuroinformatic method for deriving mechanistic descriptions of fine-structured neural activity. This is a new development in the computer-assisted analysis of dynamics in conductance-based models, which is illustrated using single compartment models of an action potential. A sequence of abstract,...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0267-y

    authors: Clewley R

    更新日期:2011-04-01 00:00:00

  • Spiking neural network simulation: numerical integration with the Parker-Sochacki method.

    abstract::Mathematical neuronal models are normally expressed using differential equations. The Parker-Sochacki method is a new technique for the numerical integration of differential equations applicable to many neuronal models. Using this method, the solution order can be adapted according to the local conditions at each time...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0131-5

    authors: Stewart RD,Bair W

    更新日期:2009-08-01 00:00:00

  • A biologically plausible model of time-scale invariant interval timing.

    abstract::The temporal durations between events often exert a strong influence over behavior. The details of this influence have been extensively characterized in behavioral experiments in different animal species. A remarkable feature of the data collected in these experiments is that they are often time-scale invariant. This ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0197-8

    authors: Almeida R,Ledberg A

    更新日期:2010-02-01 00:00:00

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

    abstract::Neuron modeling may be said to have originated with the Hodgkin and Huxley action potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over the ensuing decades, these approaches have led to a massive development of increasingly accurate and complex data-based models of neurons and ne...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章,评审

    doi:10.1007/s10827-016-0623-7

    authors: McDougal RA,Morse TM,Carnevale T,Marenco L,Wang R,Migliore M,Miller PL,Shepherd GM,Hines ML

    更新日期:2017-02-01 00:00:00

  • The effect of neural adaptation on population coding accuracy.

    abstract::Most neurons in the primary visual cortex initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. The functional consequences of adaptation are unclear. Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, b...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0358-4

    authors: Cortes JM,Marinazzo D,Series P,Oram MW,Sejnowski TJ,van Rossum MC

    更新日期:2012-06-01 00:00:00

  • Silicon synaptic conductances.

    abstract::We have developed compact analog integrated circuits that simulate two synaptic excitatory conductances. A four-transistor circuit captures the dynamics of an excitatory postsynaptic current caused by a real AMPA conductance. A six-transistor circuit simulates the effects of a real voltage-dependent NMDA conductance. ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008963426194

    authors: Rasche C,Douglas RJ

    更新日期:1999-07-01 00:00:00

  • System identification of Drosophila olfactory sensory neurons.

    abstract::The lack of a deeper understanding of how olfactory sensory neurons (OSNs) encode odors has hindered the progress in understanding the olfactory signal processing in higher brain centers. Here we employ methods of system identification to investigate the encoding of time-varying odor stimuli and their representation f...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0265-0

    authors: Kim AJ,Lazar AA,Slutskiy YB

    更新日期:2011-02-01 00:00:00

  • On the dynamics of electrically-coupled neurons with inhibitory synapses.

    abstract::We study the dynamics and bifurcations of noise-free neurons coupled by gap junctions and inhibitory synapses, using both delayed delta functions and alpha functions to model the latter. We focus on the case of two cells, as in the studies of Chow and Kopell (2000) and Lewis and Rinzel (2003), but also show that stabl...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-006-9676-3

    authors: Gao J,Holmes P

    更新日期:2007-02-01 00:00:00

  • Parameter estimation methods for single neuron models.

    abstract::With the advancement in computer technology, it has become possible to fit complex models to neuronal data. In this work, we test how two methods can estimate parameters of simple neuron models (passive soma) to more complex ones (neuron with one dendritic cylinder and two active conductances). The first method uses c...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1026531603628

    authors: Tabak J,Murphey CR,Moore LE

    更新日期:2000-11-01 00:00:00

  • Models of calmodulin trapping and CaM kinase II activation in a dendritic spine.

    abstract::Activation of calcium/calmodulin-dependent protein kinase II (CaMKII) by calmodulin following calcium entry into the cell is important for long-term potentiation (LTP). Here a model of calmodulin binding and trapping by CaMKII in a dendritic spine was used to estimate levels and durations of CaMKII activation followin...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008969032563

    authors: Holmes WR

    更新日期:2000-01-01 00:00:00

  • Generation of very slow neuronal rhythms and chaos near the Hopf bifurcation in single neuron models.

    abstract::We have presented a new generation mechanism of slow spiking or repetitive discharges with extraordinarily long inter-spike intervals using the modified Hodgkin-Huxley equations (Doi and Kumagai, 2001). This generation process of slow firing is completely different from that of the well-known potassium A-current in th...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-2895-1

    authors: Doi S,Kumagai S

    更新日期:2005-12-01 00:00:00

  • Quantitative estimate of the information relayed by the Schaffer collaterals.

    abstract::Within the theory that describes the hippocampus as a device for the on-line storage of complex memories, the crucial autoassociative operations are ascribed mainly to the recurrent CA3 network. The CA3-to-CA1 connections may still be important, both in completing information retrieval and in re-expanding, with minima...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/BF00961437

    authors: Treves A

    更新日期:1995-09-01 00:00:00

  • The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: II. Active membrane properties.

    abstract::The voltage-gated currents in the fly lobula plate tangential cells were examined using the switched electrode voltage clamp technique. In CH cells, two currents were identified (Figs. 1, 2): a slow calcium inward current and a delayed rectifying, noninactivating potassium outward current. HS and VS cells appear to po...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008804117334

    authors: Haag J,Theunissen F,Borst A

    更新日期:1997-11-01 00:00:00

  • Correction to: Psychophysical detection and learning in freely behaving rats: a probabilistic dynamical model for operant conditioning.

    abstract::The original version of this article unfortunately has some typographical errors in equations (5), (6), (7), (8), and (12). ...

    journal_title:Journal of computational neuroscience

    pub_type: 已发布勘误

    doi:10.1007/s10827-020-00759-0

    authors: Devecioğlu İ,Güçlü B

    更新日期:2020-08-01 00:00:00

  • Bayesian analysis of the kinetics of quantal transmitter secretion at the neuromuscular junction.

    abstract::The timing of transmitter release from nerve endings is considered nowadays as one of the factors determining the plasticity and efficacy of synaptic transmission. In the neuromuscular junction, the moments of release of individual acetylcholine quanta are related to the synaptic delays of uniquantal endplate currents...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-015-0567-3

    authors: Saveliev A,Khuzakhmetova V,Samigullin D,Skorinkin A,Kovyazina I,Nikolsky E,Bukharaeva E

    更新日期:2015-10-01 00:00:00

  • Effects of conduction delays on the existence and stability of one to one phase locking between two pulse-coupled oscillators.

    abstract::Gamma oscillations can synchronize with near zero phase lag over multiple cortical regions and between hemispheres, and between two distal sites in hippocampal slices. How synchronization can take place over long distances in a stable manner is considered an open question. The phase resetting curve (PRC) keeps track o...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0315-2

    authors: Woodman MM,Canavier CC

    更新日期:2011-10-01 00:00:00

  • Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

    abstract::Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f-I curve. We introduce a novel classification of neurons into Types A, B-, and B+ according to how f-I curves are modulated by input fluctuations. In Type A neurons, the f-I curves display little sensitivity to in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0142-x

    authors: Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall AL

    更新日期:2009-10-01 00:00:00