| Sen, K., Jorge-Rivera, J.C., Marder, E., & Abbott, L.F. (1996). Decoding synapses. Journal of Neuroscience, 16, 6307-6318. |
....of their own experimental data relating to synaptic depression, in particular the sensitivity of the synaptic response to abrupt changes in firing rate of the presynaptic cells. A number of similar models of synaptic facilitation and depression, based on the generic synaptic decoding method of Sen et al. (1996), have been discussed recently by Varela et al. (1997) The dynamic synapse model characterises the synapse by defining a resource , eg the amount of neurotransmitter in the synapse, a proportion of which can be in one of three states: available, effective, inactive. The dynamical behaviour of ....
Sen, K., Jorge-Rivera, J.C., Marder, E., & Abbott, L.F. (1996). Decoding synapses. Journal of Neuroscience, 16, 6307-6318.
....[5] Moreover, release probability at a synapse is strongly modulated by the recent history of activity at that synapse. This modulation occurs through a variety of distinct biophysical mechanisms including paired pulse facilitation and paired pulse depression [59] Previous formal models [2] [46], 52] account only for the average probability across a population of synapses. In this section, which describes a part of recent joint work with Zador [34] we will be interested in the computational implications of the more complex model of a synapse that is emerging. For this we consider the ....
K. Sen, J. C. Jorge-Rivera, E. Marder, L. F. Abbott, "Decoding synapses", The Journal of Neuroscience, vol. 16(19), pp 6307--6318, 1996.
....of the response to depend on the previous history of presynaptic firing. To describe postsynaptic responses (either PSCs or PSPs) accurately, we need a formalism that accounts for these history dependent effects (Krausz and Friesen, 1977, Magleby and Zengel, 1975; Zengel and Magleby, 1982; Sen et al. 1996). This can be done by introducing an amplitude factor that appropriately adjusts the magnitude of the single spike response, K 1 , R(t) X t i t A(t i )K 1 (t Gamma t i ) 21) The factor A(t i ) scales the response evoked by a single spike at time t i by an amount that depends on the ....
.... A(t) 1 S(t) 25) where S(t) X t i t K 2 (t Gamma t i ) 26) and K 2 (t) f Gamma 1) exp( Gammat= A ) 27) This integrated form, which is completely equivalent to the additive differential form given above, is convenient for determining the best values of f and A from the data (Sen et al. 1996). It also opens up the possibility of making modifications to improve the accuracy of the description. First, nothing restricts the function K 2 to being an exponential. Any function can be used and finding the optimal function is somewhat similar to finding the optimal filter for decoding spike ....
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Sen, K., Jorge-Rivera, J.C., Marder, E. and Abbott, L.F. (1996) Decoding Synapses.
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K. Sen, J.C. Jorge-Rivera, E. Marder and L.F. Abbott, 1996, Decoding Synapses, J. Neurosci. 16:6307-6318.
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