Literature DB >> 11976382

Dynamically interacting processes underlie synaptic plasticity in a feedback pathway.

Anne-Marie M Oswald1, John E Lewis, Leonard Maler.   

Abstract

Descending feedback is a common feature of sensory systems. Characterizing synaptic plasticity in feedback inputs is essential for delineating the role of feedback in sensory processing. In this study, we demonstrate that multiple interacting processes underlie the dynamics of synaptic potentiation in one such sensory feedback pathway. We use field recording and modeling to investigate the interaction between the transient high-magnitude potentiation (200-300%) elicited during tetanic stimulation of the feedback pathway and the lower magnitude posttetanic potentiation (PTP; ~30%) that slowly decays on cessation of the tetanus. The amplitude of the observed transient potentiation is graded with stimulus frequency. In contrast, the induction of PTP has a stimulus frequency threshold between 1 and 5 Hz, and its amplitude is independent of stimulus frequency. We suggest that the threshold for PTP induction may be linked to a minimum level of sustained potentiation (MSP) during repetitive trains of stimuli. We have developed a novel model that describes the interaction between the transient plasticity observed during train stimulation and the generation of PTP. The model combines a multiplicative, facilitation-depression-type (FD) model that describes the transient plasticity, with an enzymatic network that describes the dynamics of PTP. The model links transient plasticity to PTP through an input term that reflects MSP. The stratum fibrosum-pyramidal cell (StF-PC) synapse investigated in this study is the terminus of a feedback pathway to the electrosensory lateral line lobe (ELL) of a weakly electric gymnotiform fish. Dynamic plasticity at the StF-PC synapse may contribute to the putative role of this feedback pathway as a sensory searchlight.

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Year:  2002        PMID: 11976382     DOI: 10.1152/jn.00711.2001

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  4 in total

1.  Active sensing associated with spatial learning reveals memory-based attention in an electric fish.

Authors:  James J Jun; André Longtin; Leonard Maler
Journal:  J Neurophysiol       Date:  2016-03-09       Impact factor: 2.714

2.  Analog Signaling With the "Digital" Molecular Switch CaMKII.

Authors:  Stephen E Clarke
Journal:  Front Comput Neurosci       Date:  2018-11-22       Impact factor: 2.380

3.  Novel Functions of Feedback in Electrosensory Processing.

Authors:  Volker Hofmann; Maurice J Chacron
Journal:  Front Integr Neurosci       Date:  2019-09-13

4.  Linear-nonlinear cascades capture synaptic dynamics.

Authors:  Julian Rossbroich; Daniel Trotter; John Beninger; Katalin Tóth; Richard Naud
Journal:  PLoS Comput Biol       Date:  2021-03-15       Impact factor: 4.475

  4 in total

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