Pattern-recognition by an artificial network derived from biologic neuronal systems.

Abstract:

:A novel artificial neural network, derived from neurobiological observations, is described and examples of its performance are presented. This DYnamically STable Associative Learning (DYSTAL) network associatively learns both correlations and anticorrelations, and can be configured to classify or restore patterns with only a change in the number of output units. DYSTAL exhibits some particularly desirable properties: computational effort scales linearly with the number of connections, i.e., it is O(N) in complexity; performance of the network is stable with respect to network parameters over wide ranges of their values and over the size of the input field; storage of a very large number of patterns is possible; patterns need not be orthogonal; network connections are not restricted to multi-layer feed-forward or any other specific structure; and, for a known set of deterministic input patterns, the network weights can be computed, a priori, in closed form. The network has been associatively trained to perform the XOR function as well as other classification tasks. The network has also been trained to restore patterns obscured by binary or analog noise. Neither global nor local feedback connections are required during learning; hence the network is particularly suitable for hardware (VLSI) implementation.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Alkon DL,Blackwell KT,Barbour GS,Rigler AK,Vogl TP

doi

10.1007/BF00197642

subject

Has Abstract

pub_date

1990-01-01 00:00:00

pages

363-76

issue

5

eissn

0340-1200

issn

1432-0770

journal_volume

62

pub_type

杂志文章
  • A model of activity-dependent formation of cerebellar microzones.

    abstract::According to modern views of the cerebellum in motor control, each cerebellar functional unit, or microzone, learns how to execute predictive and coordinative control, based on long-term depression of the granule cell-Purkinje cell synapses. In the present paper, in light of recent experimental and theoretical studies...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s004220050462

    authors: Schweighofer N

    更新日期:1998-08-01 00:00:00

  • Comparing internal models of the dynamics of the visual environment.

    abstract::It is well known that the human postural control system responds to motion of the visual scene, but the implicit assumptions it makes about the visual environment and what quantities, if any, it estimates about the visual environment are unknown. This study compares the behavior of four models of the human postural co...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-004-0535-x

    authors: Carver S,Kiemel T,van der Kooij H,Jeka JJ

    更新日期:2005-03-01 00:00:00

  • Human hand impedance characteristics during maintained posture.

    abstract::The present paper examines human hand impedance characteristics, including inertia and viscosity as well as stiffness, in multi-joint arm movements. While a subject maintains a given hand location, small external disturbances are applied to his hand by a manipulandum. The corresponding force-displacement vectors are m...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00199890

    authors: Tsuji T,Morasso PG,Goto K,Ito K

    更新日期:1995-01-01 00:00:00

  • Late agonist activation burst (PC) required for optimal head movement: a simulation study.

    abstract::Fast as possible (time optimal) single joint movements throughout the body are characterized by the triphasic (3 pulse) pattern of activation in the agonist and antagonist muscles. Simulation studies using a sixth order, non-linear model were undertaken to determine the relationship between time optimal movement and t...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00338824

    authors: Hannaford B,Stark L

    更新日期:1987-01-01 00:00:00

  • Quantification of directional and orientational selectivities of visual neurons to moving stimuli.

    abstract::Directional and orientational components usually coexist and are mixed in the cell's overall responses when moving optical stimuli are used to study the response characteristics of visual neurons. While these two properties were quantified with all the previous methods for data analysis, their effects could not be eff...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00197609

    authors: Li B,Wang Y,Diao Y

    更新日期:1994-01-01 00:00:00

  • Revealing non-analytic kinematic shifts in smooth goal-directed behaviour.

    abstract::How do biological agents plan and organise a smooth accurate path to shift from one smooth mode of behaviour to another as part of graceful movement that is both plastic and controlled? This paper addresses the question in conducting a novel shape analysis of approach and adjustment phases in rapid voluntary target ai...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-011-0449-3

    authors: Weir MK,Wale AP

    更新日期:2011-08-01 00:00:00

  • Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input.

    abstract::Neurons receive a continual stream of excitatory and inhibitory synaptic inputs. A conductance-based neuron model is used to investigate how the balanced component of this input modulates the amplitude of neuronal responses. The output spiking rate is well described by a formula involving three parameters: the mean mu...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-003-0408-8

    authors: Burkitt AN,Meffin H,Grayden DB

    更新日期:2003-08-01 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

  • Reduced order multiport parallel and multidirectional neural associative memories.

    abstract::This paper proposes multiport parallel and multidirectional intraconnected associative memories of outer product type with reduced interconnections. Some new reduced order memory architectures such as k-directional and k-port parallel memories are suggested. These architectures are, also, very suitable for implementat...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-009-0310-0

    authors: Bhatti AA

    更新日期:2009-05-01 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

  • Motion control of musculoskeletal systems with redundancy.

    abstract::Motion control of musculoskeletal systems for functional electrical stimulation (FES) is a challenging problem due to the inherent complexity of the systems. These include being highly nonlinear, strongly coupled, time-varying, time-delayed, and redundant. The redundancy in particular makes it difficult to find an inv...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-008-0258-5

    authors: Park H,Durand DM

    更新日期:2008-12-01 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

  • Does assignment of orientation to dot patterns reveal optimization processes in the visual system?

    abstract::Sixty subjects were tested to assign orientation to ten dot patterns differing in their overall form and the number of dots in the pattern. The patterns were presented in four different positions in the visual field and their orientation was estimated in two ways. It was demonstrated that the assignment of orientation...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00335157

    authors: Yakimoff N

    更新日期:1981-01-01 00:00:00

  • BVP models: an adjustment to express a mechanism of inactivation.

    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

    authors: Game CJ

    更新日期:1982-01-01 00:00:00

  • Frequency response characteristics of a multi-loop representation of the segmental muscle stretch reflex.

    abstract::This paper continues the investigation of a three-loop representation of the segmental muscle stretch reflex system introduced in a preceding communication. Frequency response characteristics were computed for open-loop conditions, control and disturbance signal inputs under a variety of conditions: (i) "in parallel" ...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00326681

    authors: Koehler W,Windhorst U

    更新日期:1981-01-01 00:00:00

  • Dynamical synaptic plasticity: a model and connection to some experiments.

    abstract::Using a modified version of a phenomenological model for the dynamics of synaptic plasticity, we examine some recent experiments of Wu et al. [(2001) J Physiol 533:745-755]. We show that the model is quantitatively consistent with their experimental protocols producing long-term potentiation (LTP) and long-term depres...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-002-0376-4

    authors: Whitehead A,Rabinovich MI,Huerta R,Zhigulin VP,Abarbanel HD

    更新日期:2003-03-01 00:00:00

  • Time series modeling of neuromuscular system.

    abstract::The dynamic response of the human ankle joint to a bandlimited random torque perturbation superimposed on a constant bias torque is observed in normal human subjects. The applied torque input, the joint angular rotation output, and the electromyographic activity using surface electrodes from the extensor and the flexo...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00357923

    authors: Agarwal GC,Goodarzi SM,O'Neill WD,Gottlieb GL

    更新日期:1984-01-01 00:00:00

  • Langevin machine: a neural network based on stochastically justifiable sigmoidal function.

    abstract::In neural networks the activation process controls the output as a nonlinear function of the input; and, this output remains bounded between limits as decided by a logistic function known as the sigmoid (S-shaped). Presently, by applying the considerations of Maxwell-Boltzmann statistics, the Langevin function is show...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00216966

    authors: Neelakanta PS,Sudhakar R,DeGroff D

    更新日期:1991-01-01 00:00:00

  • Spectro-temporal representations and time-varying spectra of evoked potentials. A methodological investigation.

    abstract::Evoked potential waveforms are generally of a dynamic, transient character. Consequently, their spectral energy distribution cannot be adequately described by time-invariant representations, such as the power density spectrum. Obviously, a spectro-temporal description is needed. Appropriate means for obtaining such de...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00335365

    authors: de Weerd JP,Kap JI

    更新日期:1981-01-01 00:00:00

  • Multi-model approach to characterize human handwriting motion.

    abstract::This paper deals with characterization and modelling of human handwriting motion from two forearm muscle activity signals, called electromyography signals (EMG). In this work, an experimental approach was used to record the coordinates of a pen tip moving on the (x, y) plane and EMG signals during the handwriting act....

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-015-0670-6

    authors: Chihi I,Abdelkrim A,Benrejeb M

    更新日期:2016-02-01 00:00:00

  • The structure of two-dimensional scalar fields with applications to vision.

    abstract::Two-dimensional scalar fields (e. g. pictures) are often described by way of a linear superposition of simple base functions. It is argued that such decompositions are often unnatural in the sense that the decomposition takes no regard of the structure of the field and it may happen that the parts are more complicated...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00337293

    authors: Koenderink JJ,van Doorn AJ

    更新日期:1979-08-01 00:00:00

  • A neural network model for the mechanism of feature-extraction. A self-organizing network with feedback inhibition.

    abstract::We propose a new multilayered neural network model which has the ability of rapid self-organization. This model is a modified version of the cognitron (Fukushima, 1975). It has modifiable inhibitory feedback connections, as well as conventional modifiable excitatory feedforward connections, between the cells of adjoin...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/BF00336963

    authors: Miyake S,Fukushima K

    更新日期:1984-01-01 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

  • Equation of motion and general solution for the one-dimensional complex cell response in the signal-tuned approach.

    abstract::A signal-tuned approach has been recently introduced for modeling stimulus-dependent cortical receptive fields. The approach is based on signal-tuned Gabor functions, which are Gaussian-modulated sinusoids whose parameters are obtained from a "tuning" signal. Given a stimulus to a cell, it is taken as the tuning signa...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-015-0653-7

    authors: Torreão JR

    更新日期:2015-10-01 00:00:00

  • Complex nonlinear dynamics of the Hodgkin-Huxley equations induced by time scale changes.

    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

    authors: Doi S,Nabetani S,Kumagai S

    更新日期:2001-07-01 00:00:00

  • Recovery of surface pose from texture orientation statistics under perspective projection.

    abstract::In a seminal paper, Witkin (1981) derived a model of surface slant and tilt recovery based on the statistics of the orientations of texture elements (texels) on a planar surface. This model made use of basic mathematical properties of probability distributions to formulate a posterior distribution on slant and tilt gi...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-010-0389-3

    authors: Warren PA,Mamassian P

    更新日期:2010-09-01 00:00:00

  • Equivalent linear damping characterization in linear and nonlinear force-stiffness muscle models.

    abstract::In the current research, the muscle equivalent linear damping coefficient which is introduced as the force-velocity relation in a muscle model and the corresponding time constant are investigated. In order to reach this goal, a 1D skeletal muscle model was used. Two characterizations of this model using a linear force...

    journal_title:Biological cybernetics

    pub_type: 杂志文章

    doi:10.1007/s00422-016-0680-z

    authors: Ovesy M,Nazari MA,Mahdavian M

    更新日期:2016-02-01 00:00:00

  • A neural network study of precollicular saccadic averaging.

    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

    authors: Krommenhoek KP,Wiegerinck WA

    更新日期:1998-06-01 00:00:00

  • Hierarchical Bayesian models of cognitive development.

    abstract::This article provides an introductory overview of the state of research on Hierarchical Bayesian Modeling in cognitive development. First, a brief historical summary and a definition of hierarchies in Bayesian modeling are given. Subsequently, some model structures are described based on four examples in the literatur...

    journal_title:Biological cybernetics

    pub_type: 杂志文章,评审

    doi:10.1007/s00422-016-0686-6

    authors: Glassen T,Nitsch V

    更新日期:2016-06-01 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