The plasticity model supports Hebbian associative learning in a biophysical network model with realistic synaptic dynamics.

(A) Raster plot showing network spiking during learning () and auto-associative recall (). The vertical line distinguishes these stages of the trial. Pyramidal neurons and inhibitory interneurons are indexed from and respectively. The upper horizontal line distinguishes these cell types. All neurons received noisy theta-band current injection (see text). Neurons received Poisson spike trains at 500 Hz during the learning stage of the trial. Neurons received this input during the recall stage. The population receiving the input spike trains is outlined with a thin black line. (B) The trajectory of the -like variable over the full trial at a randomly chosen synapse between two neurons in the selective population. Upper and lower horizontal lines show the LTP and LTD thresholds. (C) Synaptic conductance strength in the fully-connected network after learning, where lighter shades correspond to stronger synaptic connectivity.