Literature DB >> 12744262

A general framework for neurobiological modeling: an application to the vestibular system.

Chris Eliasmith1, M B Westover, C H Anderson.   

Abstract

The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravitational field and an inertial acceleration. Angelaki et al. have put forward a general hypothesis about how inertial accelerations can be computed based on vestibular signals (J. Neurosci. 19 (1999) 316). We have constructed a realistic, detailed model of the relevant systems to test this hypothesis. The model produces useful predictions about what kinds of neurons should be found in the vestibular nucleus if such a computation is actually performed in the vestibular system. The model is constructed using general principles of neurobiological simulation (J. Neurophys. 84 (2000) 2113).

Mesh:

Year:  2002        PMID: 12744262      PMCID: PMC6788744          DOI: 10.1016/s0925-2312(02)00418-6

Source DB:  PubMed          Journal:  Neurocomputing        ISSN: 0925-2312            Impact factor:   5.719


  5 in total

1.  Spatiotemporal processing of linear acceleration: primary afferent and central vestibular neuron responses.

Authors:  D E Angelaki; J D Dickman
Journal:  J Neurophysiol       Date:  2000-10       Impact factor: 2.714

2.  Dynamics of squirrel monkey linear vestibuloocular reflex and interactions with fixation distance.

Authors:  L Telford; S H Seidman; G D Paige
Journal:  J Neurophysiol       Date:  1997-10       Impact factor: 2.714

3.  Computation of inertial motion: neural strategies to resolve ambiguous otolith information.

Authors:  D E Angelaki; M Q McHenry; J D Dickman; S D Newlands; B J Hess
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

4.  Humans use internal models to estimate gravity and linear acceleration.

Authors:  D M Merfeld; L Zupan; R J Peterka
Journal:  Nature       Date:  1999-04-15       Impact factor: 49.962

5.  Co-localization of NMDA receptors and AMPA receptors in neurons of the vestibular nuclei of rats.

Authors:  L W Chen; K K Yung; Y S Chan
Journal:  Brain Res       Date:  2000-11-24       Impact factor: 3.252

  5 in total
  3 in total

1.  Population coding in sparsely connected networks of noisy neurons.

Authors:  Bryan P Tripp; Jeff Orchard
Journal:  Front Comput Neurosci       Date:  2012-05-07       Impact factor: 2.380

2.  A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble.

Authors:  Jay S Coggan; Corrado Calì; Daniel Keller; Marco Agus; Daniya Boges; Marwan Abdellah; Kalpana Kare; Heikki Lehväslaiho; Stefan Eilemann; Renaud Blaise Jolivet; Markus Hadwiger; Henry Markram; Felix Schürmann; Pierre J Magistretti
Journal:  Front Neurosci       Date:  2018-09-25       Impact factor: 4.677

3.  Python scripting in the nengo simulator.

Authors:  Terrence C Stewart; Bryan Tripp; Chris Eliasmith
Journal:  Front Neuroinform       Date:  2009-03-24       Impact factor: 4.081

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.