Equations and Summary

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  • 8/18/2019 Equations and Summary

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    Previous semester’s work 

     The goal of my previous semester’s project is to simulate short term

    plasticity in a synapse. The input is a current into the postsynaptic cell. The

    output is the post-synaptic voltage.

     The post-synaptic neuron uses the integrate-and-re model, because actionpotentials were not the main focus. We only needed to know when an action

    potential occurs, not how. o the e!uation for action potentials is"

     I (t )=V (t )− E leak 

     R  +C 

     dV (t )dT 

      (1)

    Where  I  (t  )  is the input, either in the form of an injected current, or

    synaptic current. #urrent injection is straightforward" the function $%t& in this

    case is described by pulse length, and number of pulses.

    When  I (t )  is the synaptic current, it is the result of action potentials in the

    previous synapse, and needs to be calculated"

     I syn (t )=(V  ( t )− E syn) P s(t )(2)

    Where  Esyn  is the synaptic voltage %a known parameter&, and  Ps(t  )  is the

    synaptic conductance, measured as the probability of synaptic vesicle release.

     Ps(t  )  is determined as"

     Ps(t )= PmaxB ( y1( t )− y2(t )) (3)

    Where  y1(t )  is the probability of vesicle opening, and  y2(t )  is the probability of 

    vesicle closing. These two values are found iteratively"

     y1(t +1)= y

    1 ( t )+0.01( y 1 (t )τ 

    1)(4)

     y2 (t +1)= y2 ( t )+0.01(

     y 2 (t )τ 2 )(

    5)

     The value ' is a normali(ation constant to ensure the ma)imum value of 

     Ps(t )  is *.

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    B=(( τ 2τ 1)τ riseτ 1 −( τ 2τ 

    1)τ riseτ 2 )

    −1

    (6)

    +nd rise is the rise time of the synapse, calculate as"

    τ rise=  τ 

    1τ 2

    τ 1−τ 2(7)

    inally, in order to simulate short term plasticity,  Ps(t  )  is modied by values

    / and , respectively synaptic depression, and synaptic facilitation. These are the

    plasticity variables, found to be"

     D (t +1 )=d D(t )(8)

     F (t +1

    )= F (t  )+ f (9

    )

    +fter the action potential, both / and recover e)ponentially back to * as

    described by the following di0erential e!uation1"

    τ  DdD (t )dt 

      =1− D ( t ) (10)

    τ  F dF ( t )dt 

      =1− F (t )(11)

    2ore details on the implementation of these e!uations, as well as graphs,are found in the report.