Short-Term Plasticity in a Computational Model of the Tail-Withdrawal Circuit in Aplysia. Academic Article

abstract

• The tail-withdrawal circuit of Aplysia provides a useful model system for investigating synaptic dynamics. Sensory neurons within the circuit manifest several forms of synaptic plasticity. Here, we developed a model of the circuit and investigated the ways in which depression (DEP) and potentiation (POT) contributed to information processing. DEP limited the amount of motor neuron activity that could be elicited by the monosynaptic pathway alone. POT within the monosynaptic pathway did not compensate for DEP. There was, however, a synergistic interaction between POT and the polysynaptic pathway. This synergism extended the dynamic range of the network, and the interplay between DEP and POT made the circuit responded preferentially to long-duration, low-frequency inputs.

authors

• Baxter, Douglas

published proceedings

• Neurocomputing

author list (cited authors)

• Baxter, D. A., & Byrne, J. H.

citation count

• 5

complete list of authors

• Baxter, Douglas A||Byrne, John H

publication date

• June 2007

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Depression
• Mental Health
• Neurological
• Neurosciences

PubMed Central ID

• 17957237

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2006.10.080

start page

• 1993

end page

• 1999

volume

• 70

issue

• 10-12

URL

• http://dx.doi.org/10.1016/j.neucom.2006.10.080