Literature DB >> 8840231

Modeling Hermissenda: II. Effects of variations in type-B cell excitability, synaptic strength, and network architecture.

J W Fost1, G A Clark.   

Abstract

Because the Hermissenda eye is relatively simple and its cells well characterized, it provides an attractive preparation for detailed computational analysis. To examine the neural mechanisms of learning in this system, we developed multicompartmental models of the type-A and type-B photoreceptors, simulated the eye, and asked three questions: First, how do conductance changes affect cells in a network as compared with those in isolation; second, what are the relative contributions of increases in B-cell excitability and synaptic strength to network output; and third, how do these contributions vary as a function of network architecture? We found that reductions in the type-B cells of two K+ currents, IA and IC, differentially affected the type-B cells themselves, with IC reductions increasing firing rate (excitability) in response to light, and IA reductions increasing quantal output (synaptic strength) onto postsynaptic targets. Increases in either type-B cel excitability or synaptic strength, induced directly or indirectly, each suppressed A-cell photoresponses, and the combined effect of both changes occurring together was greater than either alone. To examine the effects of network architecture, we compared the full network with a simple feedforward B-A pair and intermediate configurations. Compared with a feedforward pair, the complete network exhibited greater A-cell sensitivity to B-cell changes. This was due to many factors, including an increased number of B-cells (which increased B-cell impact on A-cells), A-B feedback inhibition (which slowed both cell types and altered spike timing relationships), and B-B lateral inhibition (which reduced B-cell sensitivity to intrinsic biophysical modifications). These results suggest that an emergent property of the network is an increase both in the rate of information acquisition ("learning") and in the amount of information that can be stored ("memory").

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Year:  1996        PMID: 8840231     DOI: 10.1007/bf00160810

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  22 in total

1.  Characterization of 4 light-responsive putative motor neurons in the pedal ganglia of Hermissenda crassicornis.

Authors:  T M Hodgson; T Crow
Journal:  Brain Res       Date:  1991-08-23       Impact factor: 3.252

2.  Regulation of short-term associative memory by calcium-dependent protein kinase.

Authors:  L D Matzel; I I Lederhendler; D L Alkon
Journal:  J Neurosci       Date:  1990-07       Impact factor: 6.167

3.  Conditioned modification of phototactic behavior in Hermissenda. II. Differential adaptation of B-photoreceptors.

Authors:  T Crow
Journal:  J Neurosci       Date:  1985-01       Impact factor: 6.167

4.  Contingency learning and causal detection in Hermissenda: I. Behavior.

Authors:  J Farley
Journal:  Behav Neurosci       Date:  1987-02       Impact factor: 1.912

5.  Sensory, interneuronal, and motor interactions within Hermissenda visual pathway.

Authors:  Y Goh; D L Alkon
Journal:  J Neurophysiol       Date:  1984-07       Impact factor: 2.714

6.  Associative neural and behavioral change in Hermissenda: consequences of nervous system orientation for light and pairing specificity.

Authors:  J Farley; D L Alkon
Journal:  J Neurophysiol       Date:  1982-09       Impact factor: 2.714

7.  Primary changes of voltage responses during retention of associative learning.

Authors:  A West; E Barnes; D L Alkon
Journal:  J Neurophysiol       Date:  1982-11       Impact factor: 2.714

8.  Primary changes of membrane currents during retention of associative learning.

Authors:  D L Alkon; I Lederhendler; J J Shoukimas
Journal:  Science       Date:  1982-02-05       Impact factor: 47.728

9.  Calcium-mediated decrease of a voltage-dependent potassium current.

Authors:  D L Alkon; J J Shoukimas; E Heldman
Journal:  Biophys J       Date:  1982-12       Impact factor: 4.033

10.  Input and output changes of an identified neural pathway are correlated with associative learning in Hermissenda.

Authors:  Y Goh; I Lederhendler; D L Alkon
Journal:  J Neurosci       Date:  1985-02       Impact factor: 6.167

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  2 in total

Review 1.  Subcellular, cellular, and circuit mechanisms underlying classical conditioning in Hermissenda crassicornis.

Authors:  Kim T Blackwell
Journal:  Anat Rec B New Anat       Date:  2006-01

2.  Modeling Hermissenda: I. Differential contributions of IA and IC to type-B cell plasticity.

Authors:  J W Fost; G A Clark
Journal:  J Comput Neurosci       Date:  1996-06       Impact factor: 1.621

  2 in total

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