Short term synaptic depression model—Analytical solution and analysis
نویسندگان
چکیده
منابع مشابه
Short term synaptic depression model--analytical solution and analysis.
In this article we present analytical solutions of the single and pair pulse time evolution of a plastic neocortical synapse described by the TM-model. We show that this model is equivalent to the receptor-desensitization model with three kinetic states. For the TM-model we derive the analytical form of a measure of paired pulse depression. We analyze the sensitivity of the synaptic depression ...
متن کاملAstrocyte-mediated Short-term Synaptic Depression
Short-term synaptic plasticity, the activity-dependent regulation of synaptic efficacy that occurs in the timeframe of milliseconds to seconds, is a fundamental property of the synapse, mostly attributed to changes in release probability. These changes are commonly ascribed to intrinsic mechanisms in the presynaptic terminal and to different transmitters acting on the presynaptic terminal. Astr...
متن کاملShort-term synaptic depression: implications for learning
We investigate the implications of the recently observed short term synaptic depression (STD) occurring for rapid pre-synaptic firing, for the properties of the working memory states in a recurrent network of spiking neurons. To this end, starting from the phenomenological model proposed by Tsodyks and Markram, we calculate an ‘exact’ analytical expression for the time evolution of all the mome...
متن کاملModeling Short-Term Synaptic Depression in Silicon
We describe a model of short-term synaptic depression that is derived from a circuit implementation. The dynamics of this circuit model is similar to the dynamics of some theoretical models of short-term depression except that the recovery dynamics of the variable describing the depression is nonlinear and it also depends on the presynaptic frequency. The equations describing the steady-state a...
متن کاملShort term synaptic depression improves information transfer in perceptual multistability
Competitive neural networks are often used to model the dynamics of perceptual bistability. Switching between percepts can occur through fluctuations and/or a slow adaptive process. Here, we analyze switching statistics in competitive networks with short term synaptic depression and noise. We start by analyzing a ring model that yields spatially structured solutions and complement this with a s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Theoretical Biology
سال: 2008
ISSN: 0022-5193
DOI: 10.1016/j.jtbi.2008.05.011