Internally coupled ears: mathematical structures and mechanisms underlying ICE.

Abstract:

:In internally coupled ears (ICE), the displacement of one eardrum creates pressure waves that propagate through air-filled passages in the skull, causing a displacement of the opposing eardrum and vice versa. In this review, a thorough mathematical analysis of the membranes, passages, and propagating pressure waves reveals how internally coupled ears generate unique amplitude and temporal cues for sound localization. The magnitudes of both of these cues are directionally dependent. On the basis of the geometry of the interaural cavity and the elastic properties of the two eardrums confining it at both ends, the present paper reviews the mathematical theory underlying hearing through ICE and derives analytical expressions for eardrum vibrations as well as the pressures inside the internal passages, which ultimately lead to the emergence of highly directional hearing cues. The derived expressions enable one to explicitly see the influence of different parts of the system, e.g., the interaural cavity and the eardrum, on the internal coupling, and the frequency dependence of the coupling. The tympanic fundamental frequency segregates a low-frequency regime with constant time-difference magnification (time dilation factor) from a high-frequency domain with considerable amplitude magnification. By exploiting the physical properties of the coupling, we describe a concrete method to numerically estimate the eardrum's fundamental frequency and damping solely through measurements taken from a live animal.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Vedurmudi AP,Young BA,van Hemmen JL

doi

10.1007/s00422-016-0696-4

subject

Has Abstract

pub_date

2016-10-01 00:00:00

pages

359-382

issue

4-5

eissn

0340-1200

issn

1432-0770

pii

10.1007/s00422-016-0696-4

journal_volume

110

pub_type

杂志文章,评审
  • Asymmetry in neural fields: a spatiotemporal encoding mechanism.

    abstract::Neural field models have been successfully applied to model diverse brain mechanisms like visual attention, motor control, and memory. Most theoretical and modeling works have focused on the study of the dynamics of such systems under variations in neural connectivity, mainly symmetric connectivity among neurons. Howe...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-012-0544-0

    authors: Cerda M,Girau B

    更新日期:2013-04-01 00:00:00

  • A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements.

    abstract::Trajectories in human aimed movements are inherently variable. Using the concept of positional variance profiles, such trajectories are shown to be decomposable into two phases: In a first phase, the variance of the limb position over many trajectories increases rapidly; in a second phase, it then decreases steadily. ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-020-00853-7

    authors: Gori J,Rioul O

    更新日期:2020-12-01 00:00:00

  • The main sequence of saccades optimizes speed-accuracy trade-off.

    abstract::In primates, it is well known that there is a consistent relationship between the duration, peak velocity and amplitude of saccadic eye movements, known as the 'main sequence'. The reason why such a stereotyped relationship evolved is unknown. We propose that a fundamental constraint on the deployment of foveal vision...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-006-0064-x

    authors: Harris CM,Wolpert DM

    更新日期:2006-07-01 00:00:00

  • A dynamic model of thoracic differentiation for the control of turning in the stick insect.

    abstract::Leg movements of stick insects (Carausius morosus) making turns towards visual targets are examined in detail, and a dynamic model of this behaviour is proposed. Initial results suggest that front legs shape most of the body trajectory, while the middle and hind legs just follow external forces (Rosano H, Webb B, in T...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-007-0170-4

    authors: Rosano H,Webb B

    更新日期:2007-09-01 00:00:00

  • Quantization of human motions and learning of accurate movements.

    abstract::This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the intrinsic deviation of arm movements is considered, visual and kinesthetic feed-back are integrated in the motion control, and the movement...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050435

    authors: Burdet E,Milner TE

    更新日期:1998-04-01 00:00:00

  • Threshold perception and saccadic eye movements.

    abstract::Involuntary eye movements were recorded during threshold detection tasks under various experimental conditions. The data were analyzed for interdependencies between stimulus parameters, detection performance, and oculomotor behaviour. The data demonstrate that under certain conditions, saccadic parameters are adaptive...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00355540

    authors: Deubel H,Elsner T

    更新日期:1986-01-01 00:00:00

  • Comparison of color sensation in dichoptic and in normal vision.

    abstract::Color vision in humans is independent over a wide range of the spectral composition of the illuminating light (Young 1807; Hering 1879). The retinex theory accounts for this color constancy by assuming that for each of the three waveband channels determined by the retinal cones a global lightness record of the scene i...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00338814

    authors: Wehrhahn C

    更新日期:1987-01-01 00:00:00

  • Invariants in loaded goal directed movements.

    abstract::Goal directed movements, executed by means of a manipulator with various dynamics, were investigated in order to establish to what extent the loading affects the executed movement. The desired movement concept, together with a describing function model for goal directed movements, was applied to parameterize the movem...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00336183

    authors: Ruitenbeek JC

    更新日期:1984-01-01 00:00:00

  • Rapid synchronization through fast threshold modulation.

    abstract::Synchronization properties of locally coupled neural oscillators were investigated analytically and by computer simulation. When coupled in a manner that mimics excitatory chemical synapses, oscillators having more than one time scale (relaxation oscillators) are shown to approach synchrony using mechanisms very diffe...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00198772

    authors: Somers D,Kopell N

    更新日期:1993-01-01 00:00:00

  • Geometry-induced features of current transfer in neuronal dendrites with tonically activated conductances.

    abstract::The impact of dendritic geometry on somatopetal transfer of the current generated by steady uniform activation of excitatory synaptic conductance distributed over passive, or active (Hodgkin-Huxley type), dendrites was studied in simulated neurons. Such tonic activation was delivered to the uniform dendrite and to the...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050473

    authors: Korogod SM,Kulagina IB

    更新日期:1998-09-01 00:00:00

  • Determining the degree of chaos from analysis of ISI time series in the nervous system: a comparison between correlation dimension and nonlinear forecasting methods.

    abstract::Two different chaotic time series analysis methods--the correlation dimension and nonlinear forecasting--are introduced and then used to process the interspike intervals (ISI) of the action potential trains propagated along a single nerve fiber of the anesthetized rat. From the results, the conclusion is drawn that co...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050422

    authors: Gong Y,Xu J,Ren W,Hu S,Wang F

    更新日期:1998-02-01 00:00:00

  • Simulation of nonstationary EEG.

    abstract::In this paper we present a systematic method for generating simulations of nonstationary EEG. Such simulations are needed, for example, in the evaluation of tracking algorithms. First a state evolution process is simulated. The states are initially represented as segments of stationary autoregressive processes which a...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050348

    authors: Kaipio JP,Karjalainen PA

    更新日期:1997-05-01 00:00:00

  • A ring model for spatiotemporal properties of simple cells in the visual cortex.

    abstract::A neural model is proposed for the spatiotemporal properties of simple cells in the visual cortex. In the model, several cortical cells are arranged on a ring, with mutual excitatory or inhibitory connections. The cells also receive excitatory inputs either from lagged and nonlagged cells of the lateral geniculate nuc...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050383

    authors: Hamada T,Yamashima M,Kato K

    更新日期:1997-10-01 00:00:00

  • From neuron to behavior: dynamic equation-based prediction of biological processes in motor control.

    abstract::This article presents the use of continuous dynamic models in the form of differential equations to describe and predict temporal changes in biological processes and discusses several of its important advantages over discontinuous bistable ones, exemplified on the stick insect walking system. In this system, coordinat...

    journal_title:Biological cybernetics

    pub_type: 杂志文章,评审

    doi:10.1007/s00422-011-0446-6

    authors: Daun-Gruhn S,Büschges A

    更新日期:2011-07-01 00:00:00

  • Quantitative analysis of directional strengths in jointly stationary linear multivariate processes.

    abstract::Identification and analysis of directed influences in multivariate systems is an important problem in many scientific areas. Recent studies in neuroscience have provided measures to determine the network structure of the process and to quantify the total effect in terms of energy transfer. These measures are based on ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-010-0386-6

    authors: Gigi S,Tangirala AK

    更新日期:2010-08-01 00:00:00

  • Self-stabilization of neuronal networks. I. The compensation algorithm for synaptogenesis.

    abstract::Between the extreme views concerning ontogenesis (genetic vs. environmental determination), we use a moderate approach: a somehow pre-established neuronal model network reacts to activity deviations (reflecting input to be compensated), and stabilizes itself during a complex feed-back process. Morphogenesis is based o...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00318417

    authors: Dammasch IE,Wagner GP,Wolff JR

    更新日期:1986-01-01 00:00:00

  • A cardioid oscillator with asymmetric time ratio for establishing CPG models.

    abstract::Nonlinear oscillators are usually utilized by bionic scientists for establishing central pattern generator models for imitating rhythmic motions by bionic scientists. In the natural word, many rhythmic motions possess asymmetric time ratios, which means that the forward and the backward motions of an oscillating proce...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-018-0746-1

    authors: Fu Q,Wang DH,Xu L,Yuan G

    更新日期:2018-06-01 00:00:00

  • A stochastic theory of phase transitions in human hand movement.

    abstract::The order parameter equation for the relative phase of correlated hand movements, derived in a previous paper by Haken et al. (1985), is extended to a time-dependent stochastic differential equation. Its solutions are determined close to stationary points and for the transition region. Remarkably good agreement betwee...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00336995

    authors: Schöner G,Haken H,Kelso JA

    更新日期:1986-01-01 00:00:00

  • Nonlinear parameter estimation applied to a model of smooth pursuit eye movements.

    abstract::We present a procedure that optimally adjusts specified parameters of a mathematical model to describe a set of measured data. The technique integrates a dynamic systems-simulation language with a robust algorithm for nonlinear parameter estimation, and it can be implemented on a microcomputer. Sensitivity functions a...

    journal_title:Biological cybernetics

    pub_type: 杂志文章,评审

    doi:10.1007/BF00201441

    authors: Huebner WP,Saidel GM,Leigh RJ

    更新日期:1990-01-01 00:00:00

  • Conductance-based refractory density approach: comparison with experimental data and generalization to lognormal distribution of input current.

    abstract::The conductance-based refractory density (CBRD) approach is an efficient tool for modeling interacting neuronal populations. The model describes the firing activity of a statistical ensemble of uncoupled Hodgkin-Huxley-like neurons, each receiving individual Gaussian noise and a common time-varying deterministic input...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-017-0727-9

    authors: Chizhov AV

    更新日期:2017-12-01 00:00:00

  • Recognition of visual stimuli from multiple neuronal activity in monkey visual cortex.

    abstract::Response patterns recorded with 30 microelectrodes from area 17 of anaesthetized monkeys are analysed. A proportion of the patterns are used to define prototype response patterns. These in turn are used to recognize the stimulus from further non-averaged response patterns. In comparison, recognition by a feedforward '...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00194921

    authors: Becker JD,Krüger J

    更新日期:1996-04-01 00:00:00

  • Visual perception of surface curvature. The spin variation and its physiological implications.

    abstract::In the context of the models of structure from motion visual processing, we propose that the optic-flow field is a source of information for the perception of the curvature of a smooth surface in motion. In particular, it is shown how the spin variation (SV), a second spatial derivative of the retinal velocity field, ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00198096

    authors: Droulez J,Cornilleau-Pérès V

    更新日期:1990-01-01 00:00:00

  • Schema-based learning of adaptable and flexible prey- catching in anurans II. Learning after lesioning.

    abstract::The previous companion paper describes the initial (seed) schema architecture that gives rise to the observed prey-catching behavior. In this second paper in the series we describe the fundamental adaptive processes required during learning after lesioning. Following bilateral transections of the hypoglossal nerve, an...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-005-0014-z

    authors: Corbacho F,Nishikawa KC,Weerasuriya A,Liaw JS,Arbib MA

    更新日期:2005-12-01 00:00:00

  • Hill-type muscle model parameters determined from experiments on single muscles show large animal-to-animal variation.

    abstract::Models built using mean data can represent only a very small percentage, or none, of the population being modeled, and produce different activity than any member of it. Overcoming this "averaging" pitfall requires measuring, in single individuals in single experiments, all of the system's defining characteristics. We ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-012-0530-6

    authors: Blümel M,Guschlbauer C,Daun-Gruhn S,Hooper SL,Büschges A

    更新日期:2012-11-01 00:00:00

  • Integrate-and-fire neurons driven by asymmetric dichotomous noise.

    abstract::We consider a general integrate-and-fire (IF) neuron driven by asymmetric dichotomous noise. In contrast to the Gaussian white noise usually used in the so-called diffusion approximation, this noise is colored, i.e., it exhibits temporal correlations. We give an analytical expression for the stationary voltage distrib...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-014-0621-7

    authors: Droste F,Lindner B

    更新日期:2014-12-01 00:00:00

  • A computational model of monkey cortical grating cells.

    abstract::Grating cells were discovered in the V1 and V2 areas of the monkey visual cortex by von der Heydt et al. (1992). These cells responded vigorously to grating patterns of appropriate orientation and periodicity. Computational models inspired by these findings were used as texture operator (Kruzinga and Petkov 1995, 1999...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-004-0522-2

    authors: Lourens T,Barakova E,Okuno HG,Tsujino H

    更新日期:2005-01-01 00:00:00

  • Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework.

    abstract::Most robot navigation systems perform place recognition using a single-sensor modality and one, or at most two heterogeneous map scales. In contrast, mammals perform navigation by combining sensing from a wide variety of modalities including vision, auditory, olfactory and tactile senses with a multi-scale, homogeneou...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-017-0745-7

    authors: Jacobson A,Chen Z,Milford M

    更新日期:2018-06-01 00:00:00

  • Information filtering by coincidence detection of synchronous population output: analytical approaches to the coherence function of a two-stage neural system.

    abstract::Information about time-dependent sensory stimuli is encoded in the activity of neural populations; distinct aspects of the stimulus are read out by different types of neurons: while overall information is perceived by integrator cells, so-called coincidence detector cells are driven mainly by the synchronous activity ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-020-00838-6

    authors: Bostner Ž,Knoll G,Lindner B

    更新日期:2020-06-01 00:00:00

  • Optimal isn't good enough.

    abstract::The notion that biological systems come to embody optimal solutions seems consistent with the competitive drive of evolution. It has been used to interpret many examples of sensorimotor behavior. It is attractive from the viewpoint of control engineers because it solves the redundancy problem by identifying the one op...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-012-0514-6

    authors: Loeb GE

    更新日期:2012-12-01 00:00:00

  • A spiking neural network model of the midbrain superior colliculus that generates saccadic motor commands.

    abstract::Single-unit recordings suggest that the midbrain superior colliculus (SC) acts as an optimal controller for saccadic gaze shifts. The SC is proposed to be the site within the visuomotor system where the nonlinear spatial-to-temporal transformation is carried out: the population encodes the intended saccade vector by i...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-017-0719-9

    authors: Kasap B,van Opstal AJ

    更新日期:2017-08-01 00:00:00