@article{
 title = {Depression-biased reverse plasticity rule is required for stable learning at top-down connections},
 type = {article},
 year = {2012},
 identifiers = {[object Object]},
 volume = {8},
 id = {c460063c-2e18-3a31-8da5-472ed1d02825},
 created = {2016-09-13T17:50:07.000Z},
 file_attached = {false},
 profile_id = {bb892394-9846-3270-95b1-4c802ef89f8b},
 last_modified = {2016-09-13T17:50:07.000Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 abstract = {Top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. During sensory experience, lower neocortical areas are activated before higher ones, causing top-down synapses to experience a preponderance of post-synaptic activity preceding pre-synaptic activity. This timing pattern is the opposite of that experienced by bottom-up synapses, which suggests that different versions of spike-timing dependent synaptic plasticity (STDP) rules may be required at top-down synapses. We consider a two-layer neural network model and investigate which STDP rules can lead to a distribution of top-down synaptic weights that is stable, diverse and avoids strong loops. We introduce a temporally reversed rule (rSTDP) where top-down synapses are potentiated if post-synaptic activity precedes pre-synaptic activity. Combining analytical work and integrate-and-fire simulations, we show that only depression-biased rSTDP (and not classical STDP) produces stable and diverse top-down weights. The conclusions did not change upon addition of homeostatic mechanisms, multiplicative STDP rules or weak external input to the top neurons. Our prediction for rSTDP at top-down synapses, which are distally located, is supported by recent neurophysiological evidence showing the existence of temporally reversed STDP in synapses that are distal to the post-synaptic cell body. © 2012 Burbank, Kreiman.},
 bibtype = {article},
 author = {Burbank, K.S. and Kreiman, G.},
 journal = {PLoS Computational Biology},
 number = {3}
}

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The conclusions did not change upon addition of homeostatic mechanisms, multiplicative STDP rules or weak external input to the top neurons. 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