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2 edition of Input-output relations for axo-somatic activation in a neuron model found in the catalog.

Input-output relations for axo-somatic activation in a neuron model

R. J. MacGregor

Input-output relations for axo-somatic activation in a neuron model

by R. J. MacGregor

  • 65 Want to read
  • 23 Currently reading

Published by Rand Corp.] in [Santa Monica, Calif .
Written in English

    Subjects:
  • Nervous system -- Data processing.,
  • Nervous system -- Mathematical models.

  • Edition Notes

    StatementR.J. MacGregor.
    SeriesRand paper series -- P-3672
    The Physical Object
    Pagination28 p. :
    Number of Pages28
    ID Numbers
    Open LibraryOL20572229M

    A&P Autonomic and Somatic Nervous System. STUDY. PLAY. Somatic Nervous System. Conscious Activities. The first of the autonomic motor neurons is called a preganglionic neuron, its cell body in the brain or spinal cord, and its axon exxits the CNS as part of a cranial or spinal nerve. Activation of the sympathetic division sets in motion. In the previous model, a neuron is present for every possible connection, so for 6 inputs there are 36 neurons (n 2 neurons for n inputs). Most of these neurons will not have an y further effect.

      Rall, W. Theoretical significance of dendritic trees for neuronal input-output relations. in Neural Theory and Modeling (ed. Reiss, R.) 73–97 (Stanford Univ. Press, Stanford, ). Google Cited by:   Results. Our biophysically and anatomically realistic simulation of FFI in the dentate gyrus is based on compartmental models of a principal (granule) cell and a feed-forward (MOPP) interneuron (Fig. 1 A).The distribution of passive and active properties in the MOPP and granule cells yielded firing rates as functions of somatic current injection (Fig. 1 B) in agreement with experimental Cited by:

      A typical motor neuron [from Stevens ] These four elements, dendrites, synapses, cell body, and axon, are the minimal structure we will adopt from the biological model. Artificial neurons for computing will have input channels, a cell body and an output channel.   Normalized input-output relations for average pool firing rate vs. the level of excitatory input for the ascending (A and C) and descending (B and D) portions of the excitatory command. A and B: effects of different levels of neuromodulation on input-output relations for an excitatory command (with a small constant amount of inhibition).Cited by:


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Input-output relations for axo-somatic activation in a neuron model by R. J. MacGregor Download PDF EPUB FB2

The present study addresses the properties of axosomatic activation with a digital computer simulation of the elicitation of spikes by postsynaptic potentials. Input-output relations for regular and irregular temporal patterns of excitatory activation, and for combined excitatory and inhibitory activation.

Input-Output Relations for Axo-Somatic Activation in a Neuron Model. 'The Chromaticities of Subjective Colors Elicited by Rotation of the Fechner-Benham Disc,' by Guy Verriest and Ryo Seki. A digital-computer model of spike elicitation by postsynaptic potentials in single nerve cells   In this work, we have used a modified Morris-Lecar model to systematically investigate the input-output property and energy efficiency of the neuron with different spike threshold dynamics.

To the best of our knowledge, this is the first study that links spike threshold dynamics, biophysical properties, spike initiation, input-output relations Cited by: Input–output relations within Input-output relations for axo-somatic activation in a neuron model book stations of the dentate–hippocampal system.

In a previous investigation we analyzed the input–output relations of the perforant path neuron response in the ENT and of the granule cell response in the DG (Bartesaghi et al., ). Since both the DG and field CA2 are activated in parallel by the Cited by: About the Book Author.

Frank Amthor is a professor of psychology at the University of Alabama at Birmingham, where he also holds secondary appointments in the UAB Medical School Department of Neurobiology, the School of Optometry, and the Department of Biomedical Engineering. His research is focused on retinal and central visual processing and neural prostheses.

Start studying Combo with "Neuron Model (Somso; BIO )" and 1 other. Learn vocabulary, terms, and more with flashcards, games, and other study tools.

Golowasch J, Goldman MS, Abbott LF, Marder E () Failure of averaging in the construction of a conductance-based neuron model. J Neurophysiol 87(2)– Google. Stochastic model of a neuron • The activation function of the McCulloch-Pitts early neuronal model () is the threshold function.

• The neuron is permitted to reside in only two states, say x = +1 and x = −1. • In the stochastic model, a neuron fires (switches its state x) according to a probability. A Motor Neuron can be switched on or off by some other input only if a Gate-Keeper Interneuron allows it.

This Interneuron is in turn regulated by Descending Control signals. Ex: A sensory primary afferent can only influence the motor neuron if a Descending Control "allows" the Interneuron to act as an Open Gate.

Somatic and Autonomic Nervous System. STUDY. PLAY. Central nervous system. brain and spinal cord. peripheral nervous system. cranial and spinal nerves plus autonomic nerves in the gut.

this is a name used to describe the number of cell processes a neuron has. pseudounipolar. general and visceral sensory neurons are this type of neuron.

On the other hand, it is still rather mysterious how a simple linear input-output relation results from the combined activation of several nonlinear conductances. After 19 years, there remains only one study in which a neuron's repetitive firing behavior has been successfully reconstructed from an empirical model based solely on direct Cited by: A basic SIN structure is shown in Fig.

parameters p k ∈ R, w k ∈ R, and b k ∈ R are input, weight, and bias of the neuron at time step k,k=1,n, summation block denoted by Σ performs a summation operation of its two input signals to generate signal o operation of the neuron is expressed by (1) o k =w k p k +b k.

The activation function f can be selected Cited by: 5. ELECTROPHYSIOLOGY OF A DENDRITIC NEURON MODEL WILFRID RALL From the Office of Mathematical Research, National Institute of Arthritis and MetabolicDiseases,NationalInstitutesofHealth,Bethesda INTRODUCTION The development of a mathematical model of dendritic neurons was begun because of a need to combine three different Cited by: Subthreshold oscillations and neuronal input-output relationships Article in Neurocomputing 70() June with 16 Reads How we measure 'reads'.

In our critical-neuron model, the minimal dynamic units are dendritic branchlets (or perhaps patches of dendritic spines), so that even a single neuron can have a.

Henrik Jörntell, in The Neuronal Codes of the Cerebellum, Spike Encoding in the Cerebellar Neurons. The neuronal integration of synaptic inputs is readily described by the original Hodgkin–Huxley formulations for conductance-based electrical signaling in neurons.

In the view portrayed above, concerted activation of dynamic groups of neurons would provide modulations of the. A biological neuron model, also known as a spiking neuron model, is a mathematical description of the properties of certain cells in the nervous system that generate sharp electrical potentials across their cell membrane, roughly one millisecond in duration, as shown in Fig.

g neurons are known to be a major signaling unit of the nervous system, and for this reason characterizing their. Without monotonicity, boundedness and differentiability of the neuron input-output activation function, some sufficient conditions of global asymptotic stability and global exponential stability.

Full text Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (M), or click on a page image below to browse page by page.

Links to PubMed are also available for Selected by: neurons model an input-output behaviour as it is also often used to char acterize biological neurons.

The neuron The neuron is treated as a black box; spatial extension and temporal dynamics. Start studying Lab 8/9 - Neuron Model/Axon terminal model. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Purchase Mass Action in the Nervous System - 1st Edition. Print Book & E-Book.

ISBNBook Edition: 1. Purchase Single Neuron Computation - 1st Edition. Print Book & E-Book. ISBNBook Edition: 1.