Elsevier

Current Opinion in Neurobiology

Volume 35, December 2015, Pages 127-135
Current Opinion in Neurobiology

Synapse-type-specific plasticity in local circuits

https://doi.org/10.1016/j.conb.2015.08.001Get rights and content

Highlights

  • Induction and expression of long-term plasticity is specific to synapse type.

  • Synaptic dynamics is also connection-type specific.

  • The presynaptic NMDAR is a prime example of a determinant of synapse-type-specific plasticity.

  • Synapse-type-specific plasticity has implications for microcircuit function in health and disease.

  • The resulting increase in complexity makes local circuits more powerful, but also harder to study.

Neuroscientists spent decades debating whether synaptic plasticity was presynaptically or postsynaptically expressed. It was eventually concluded that plasticity depends on many factors, including cell type. More recently, it has become increasingly clear that plasticity is regulated at an even finer grained level; it is specific to the synapse type, a concept we denote synapse-type-specific plasticity (STSP). Here, we review recent developments in the field of STSP, discussing both long-term and short-term variants and with particular emphasis on neocortical function. As there are dozens of neocortical cell types, there is a multiplicity of forms of STSP, the vast majority of which have never been explored. We argue that to understand the brain and synaptic diseases, we have to grapple with STSP.

Section snippets

A definition of synapse-type-specific plasticity

Here, we define synapse-type-specific plasticity (STSP) as plasticity that varies with synapse type. STSP comes in different forms (Figure 1). Different synapses originating from the same presynaptic cell can have different forms of plasticity depending upon the on postsynaptic target, here termed divergent STSP. Conversely, plasticity may differ for the same postsynaptic cell depending on the type of input, which we denote convergent STSP. While more difficult to distinguish experimentally,

Synapse-type-specific short-term plasticity

Short-term plasticity (STP) refers to a depression or facilitation of synaptic efficacy that last on the order of seconds [2]. The mechanisms underlying STP are typically presynaptic, including changes in the readily releasable vesicle pool size, changes in the number of release sites, and alterations in presynaptic calcium dynamics [3]. Early evidence that STP could be synapse-type-specific came from observations that the magnitude and variability of calcium influx in response to single action

Synapse-type-specific long-term plasticity

Long-term plasticity refers to activity-dependent changes in synaptic efficacy that last for minutes up to days [49]. Long-term plasticity is typically mechanistically distinct from STP and includes processes such as Hebbian and homeostatic plasticity. Long-lasting increases or decreases in synaptic strength — long-term potentiation (LTP) or depression (LTD), respectively — are believed to be critical to circuit and memory formation [50]. Synapse-type-specific long-term plasticity may thus be

Conclusions and future directions

In this review, we have discussed recent research on STSP learning rules and synaptic dynamics, as well as their potential functional roles (summarized in Table 1). We argue that STSP may have evolved of necessity to enable more complex computations in local circuits. The existence of STSP is furthermore expected, since the nodes of biological neuronal networks are made up of dozens of different cell types [70, 71, 72]. Presumably, these different cell types need to be governed by distinct

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as:

  • • of special interest

  • •• of outstanding interest

Acknowledgements

We thank Alanna Watt, Ben Philpot, Ole Paulsen, Abhishek Banerjee, Txomin Lalanne, Elvis Cela, Therese Abrahamsson, Arne Blackman, and Rui P. Costa for help and useful discussions. R.S.L. was funded by the Allen Institute for Brain Science and wishes to thank the Allen Institute founders, Paul G. Allen and Jody Allen, for their vision, encouragement, and support. P.J.S. was funded by CFI LOF 28331, CIHR OG 126137, CIHR NIA 288936, and NSERC DG 418546-2.

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