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. However, less attention has been given to the emerging properties of neuron populations when neural connectivity is asymmetric, although asymmetric activity propagation has been observed in cortical tissue. Here we explore the dynamics of neural fields with asymmetric connectivity and show, in the case of front propagation, that it can bias the population to follow a certain trajectory with higher activation. We find that asymmetry relates linearly to the input speed when the input is spatially localized, and this relation holds for different kernels and input shapes. To illustrate the behavior of asymmetric connectivity, we present an application: standard video sequences of human motion were encoded using the asymmetric neural field and compared to computer vision techniques. Overall, our results indicate that asymmetric neural fields are a competitive approach for spatiotemporal encoding with two main advantages: online classification and distributed operation.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Cerda M,Girau Bdoi
10.1007/s00422-012-0544-0subject
Has Abstractpub_date
2013-04-01 00:00:00pages
161-78issue
2eissn
0340-1200issn
1432-0770journal_volume
107pub_type
杂志文章abstract::A minimum mean square error (MMSE) estimation scheme is employed to identify the synaptic connectivity in neural networks. This new approach can substantially reduce the amount of data and the computational cost involved in the conventional correlation methods, and is suitable for both nonstationary and stationary neu...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00198088
更新日期:1991-01-01 00:00:00
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
更新日期:2018-06-01 00:00:00
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
更新日期:1993-01-01 00:00:00
abstract::The Hodgkin-Huxley equations with a slight modification are investigated, in which the inactivation process (h) of sodium channels or the activation process of potassium channels (n) is slowed down. We show that the equations produce a variety of action potential waveforms ranging from a plateau potential, such as in ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/PL00007996
更新日期:2001-07-01 00:00:00
abstract::Motion repulsion is the perceived enlargement of the angle between the directions of motion of two transparently moving patterns. An explanation of this illusion has long been sought for in the neural circuitry of the brain. We show that motion repulsion already arises from the statistical properties of the motion tra...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-005-0556-0
更新日期:2005-04-01 00:00:00
abstract::A computational model of a learning system (LS) is described that acquires knowledge and skill necessary for optimal control of a multisegmental limb dynamics (controlled object or CO), starting from "knowing" only the dimensionality of the object's state space. It is based on an optimal control problem setup differen...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-003-0452-4
更新日期:2004-02-01 00:00:00
abstract::A central pattern generator (CPG) is built to control a mechanical device (plant) inspired by the pyloric chamber of the lobster. Conductance-based models are used to construct the neurons of the CPG. The plant has an associated function that measures the amount of food flowing through it per unit of time. We search f...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/PL00007963
更新日期:2000-01-01 00:00:00
abstract::We report on the ability of human observers in judging their direction of translation from sparse, moving random dot patterns for varying extents of 3--D rotation. The observers have to discriminate possible axes of translation with angular separations of 2.5 deg or 5 deg. The field of view is either 20 X 20 deg or 10...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00449594
更新日期:1985-01-01 00:00:00
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
更新日期:2012-11-01 00:00:00
abstract::The detection of small radially symmetric targets was studied using a subthreshold summation paradigm. Small disc and disc-like patterns with diameters up to 0.60 were used for superposition on Bessel functions of zero order, subthreshold contrast and various spatial frequencies. Contrast interrelation functions prove...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220170005
更新日期:2001-01-01 00:00:00
abstract::In bursting excitable cells such as pancreatic beta-cells and molluscan Aplysia neuron cells, intracellular Ca2+ ion plays a central role in various cellular functions. To understand the role of [Ca2+]i (the intracellular Ca2+ concentration) in electrical bursting, we formulate a mathematical model which contains a fe...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00202449
更新日期:1990-01-01 00:00:00
abstract::Spikes in the membrane potential of neurons comprise the currency of information processing in the brain. The ability of neurons to convert any information present across their multiple inputs into a significant modification to the pattern of their emitted spikes depends on the rate at which they emit spikes. If the m...
journal_title:Biological cybernetics
pub_type: 杂志文章,评审
doi:10.1007/s00422-018-0768-8
更新日期:2019-04-01 00:00:00
abstract::Saccadic averaging is the phenomenon that two simultaneously presented retinal inputs result in a saccade with an endpoint located on an intermediate position between the two stimuli. Recordings from neurons in the deeper layers of the superior colliculus have revealed neural correlates of saccade averaging, indicatin...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220050450
更新日期:1998-06-01 00:00:00
abstract::In many applications of signal processing, especially in communications and biomedicine, preprocessing is necessary to remove noise from data recorded by multiple sensors. Typically, each sensor or electrode measures the noisy mixture of original source signals. In this paper a noise reduction technique using independ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-001-0298-6
更新日期:2002-04-01 00:00:00
abstract::Texture gradients are systematic variations in projected surface texture. It is expected that image variables such as texture density or size carry information about the surface orientation and distance. This article reexamines the information content of texture gradients and reviews the relevant psychophysics. Slant ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00336727
更新日期:1981-01-01 00:00:00
abstract::Simulations of neural activity are commonly based on differential equations. We address the question what can be achieved with a simplified discrete model. The proposed model resembles artificial neural networks enriched with additional biologically inspired features. A neuron has several states, and the state transit...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-020-00826-w
更新日期:2020-06-01 00:00:00
abstract::The method of non-linear forecasting of time series was applied to different simulated signals and EEG in order to check its ability of distinguishing chaotic from noisy time series. The goodness of prediction was estimated, in terms of the correlation coefficient between forecasted and real time series, for non-linea...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00243291
更新日期:1991-01-01 00:00:00
abstract::We present a biologically oriented model that accounts for left-right discrimination in the cockroach's escape behavior. The model includes the main groups of neurons found to be involved in the escape response. Each one of the included neurons is described by the actual processes taking place in an individual neuron ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220050546
更新日期:1999-08-01 00:00:00
abstract::Many neurons at the sensory periphery receive periodic input, and their activity exhibits entrainment to this input in the form of a preferred phase for firing. This article describes a modeling study of neurons which skip a random number of cycles of the stimulus between firings over a large range of input intensitie...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00198810
更新日期:1994-01-01 00:00:00
abstract::A new method based on neural networks to cluster proteins into families is described. The network is trained with the Kohonen unsupervised learning algorithm, using matrix pattern representations of the protein sequences as inputs. The components (x, y) of these 20 x 20 matrix patterns are the normalized frequencies o...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00204658
更新日期:1991-01-01 00:00:00
abstract::Isolated and cultured neonatal cardiac myocytes contract spontaneously and cyclically, and have the properties of a non-linear oscillator. In this study, we have analyzed the relationship between the fluctuation of contraction rhythm of spontaneously beating cultured cardiac myocytes, and the coupling strength among t...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-001-0285-y
更新日期:2002-02-01 00:00:00
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
更新日期:2014-12-01 00:00:00
abstract::Fitzhugh's BVP model has been used by many people. Fitzhugh has pointed out that as the stimulus is increased the model has "inverted" behaviour. It is here shown that this is due to a lack of a mechanism of inactivation, and the model is adjusted by supplying such a mechanism, to give a new model, called BPH, which, ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00344278
更新日期:1982-01-01 00:00:00
abstract::In this paper, we present a continuous attractor network model that we hypothesize will give some suggestion of the mechanisms underlying several neural processes such as velocity tuning to visual stimulus, sensory discrimination, sensorimotor transformations, motor control, motor imagery, and imitation. All of these ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-006-0131-3
更新日期:2006-12-01 00:00:00
abstract::We have developed two algorithms that construct a simultaneous functional order in a collection of neural elements using purely functional relations. The input of the first algorithm is a matrix describing the total of covariances of signals carried by the members of the neural collection. The second algorithm proceed...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00318721
更新日期:1987-01-01 00:00:00
abstract::Learning to make reaching movements in force fields was used as a paradigm to explore the system architecture of the biological adaptive controller. We compared the performance of a number of candidate control systems that acted on a model of the neuromuscular system of the human arm and asked how well the dynamics of...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220050543
更新日期:1999-07-01 00:00:00
abstract::To investigate the dynamic effects of external forces on the displacement of the otolith membrane and subsequent neuronal responses of otoliths, we performed numerical analyses of otolith membrane displacements. In these studies we included the full geometry of the human otolith maculae, including their 3D curvature. ...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-003-0456-0
更新日期:2004-03-01 00:00:00
abstract::The ability to locomote is a defining characteristic of all animals. Yet, all but the most trivial forms of navigation are poorly understood. Here we report and discuss the analytical results of an in-depth study of a simple navigation problem. In principle, there are two strategies for navigating a straight course. O...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s00422-008-0251-z
更新日期:2008-09-01 00:00:00
abstract::We propose a model for the first stage of the cortical transformation of the visual image based on the principle that the cortex encodes the information with the minimum number of channels mathematically needed. We restrict our model to be consistent with the data on size adaptations, the known relationships of acuity...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/BF00336972
更新日期:1982-01-01 00:00:00
abstract::Stochastic resonance is demonstrated in a simple energy detector model, as a non-monotonic relationship between signal-to-noise ratio and detection of a sinusoid signal in bandpass-limited Gaussian noise. The behaviour of the model detecting signals of various intensities and signal-to-noise ratios was investigated. S...
journal_title:Biological cybernetics
pub_type: 杂志文章
doi:10.1007/s004220000176
更新日期:2000-11-01 00:00:00