Computational model
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018)
Victor Pedrosa
Using whole-cell recordings and optogenetic stimulation of presynaptic input in anaesthetized mice, we show that synaptic plasticity rules are gated by cortical dynamics. Up states are biased towards depression such that presynaptic stimulation alone leads to synaptic depression, while connections contributing to postsynaptic spiking are protected against this synaptic weakening. We find that this novel activity-dependent and input-specific downscaling mechanism has two important computational advantages: 1) improved signal-to-noise ratio, and 2) preservation of previously stored information. Thus, these synaptic plasticity rules provide an attractive mechanism for SWS-related synaptic downscaling and circuit refinement. We simulate a feedforward network of neurons undergoing Up-state-mediated plasticity. Under this plasticity rule, presynaptic spikes alone lead to synaptic depression, whereas those followed by postsynaptic spikes within 10 ms are not changed.
  • Abstract integrate-and-fire leaky neuron Show Other
  • González-Rueda A, Pedrosa V, Feord RC, Clopath C, Paulsen O (2018) Show Other
  • Pedrosa, Victor [v.pedrosa15 at] Show Other
Other categories referring to Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018)
Revisions: 8
Last Time: 4/9/2018 2:24:58 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin