Although there is good evidence that Hebbian (co-activity-dependent) synapses do exist, and in some cases the machinery is understood (NMDARs, back-APs etc), and there is also evidence that strength changes underlie learning, only very recently has evidence been obtained that synaptic strength is set by the history of co-activity at that synapse (http://biorxiv.org/content/biorxiv/early/2015/03/11/016329.full.pdf)
A related 3D reconstruction study in the neocortex shows that if an axon makes one synapse on a dendrite, it tends to make others (again consistent with shared co-activity history), though in this case these synapses do not seem to have similar size.
The authors (Kasthuri et al., 2015, Cell 162, 648–661) conclude: " Thus axon-dendrite adjacency, while of course necessary for synapses to form, is insufficient to explain why some axons establish multiple synapses on
some dendrites and not others. This is an explicit refutation of
Peters’ rule. Rather this result argues that there are different
probabilities for synapses between particular dendrites and
particular excitatory axons." Of course a shared history of co-activity and Hebbian plasticity could account for these probabilities.
"Peters' Rule refers to the hypothesis that synapses are made solely on the basis of physical axon and dendrite proximity, without regard to their past history of co-activity. Connections in the brain would then be determined solely by the chance close encounters of axons and dendrites. These in turn would reflect the general geometry of axodendritic overlap, which might reflect genetic specification of axonal arborization dendritic branching patterns. Several recent papers show that this idea is not generally valid, but do not directly suggest a role for co-activity and Hebbian learning. However, there may be situations in which connections do follow Peters' rule. One example would be the bipolar-starburst amacrine synapses I discussed in a recent post.
I favor the extreme opposite view - that connection probabilities and strengths are determined by co-activity and thus indirectly by input correlations - especially by subtle higher-order correlations. This would probably require extraordinary degrees of synapse isolation and independence, and could endow neurons with powerful computational abilities, perhaps transcending what is achievable with current silicon technology. However strong experimental evidence on this point is currently lacking.
"Peters' Rule refers to the hypothesis that synapses are made solely on the basis of physical axon and dendrite proximity, without regard to their past history of co-activity. Connections in the brain would then be determined solely by the chance close encounters of axons and dendrites. These in turn would reflect the general geometry of axodendritic overlap, which might reflect genetic specification of axonal arborization dendritic branching patterns. Several recent papers show that this idea is not generally valid, but do not directly suggest a role for co-activity and Hebbian learning. However, there may be situations in which connections do follow Peters' rule. One example would be the bipolar-starburst amacrine synapses I discussed in a recent post.
I favor the extreme opposite view - that connection probabilities and strengths are determined by co-activity and thus indirectly by input correlations - especially by subtle higher-order correlations. This would probably require extraordinary degrees of synapse isolation and independence, and could endow neurons with powerful computational abilities, perhaps transcending what is achievable with current silicon technology. However strong experimental evidence on this point is currently lacking.
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