Heterosynaptic cross-talk of pre- and postsynaptic strengths along segments of dendrites

Tong, Rudi; Chater, Thomas E.; Emptage, Nigel J.; Goda, Yukiko

doi:10.1016/j.celrep.2021.108693

Cited by 29 publications

(40 citation statements)

References 80 publications

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“…With these tools in hand, scientists could begin to probe the spatial constraints of multiple forms of heterosynaptic plasticity. LTP induction at single spines with glutamate uncaging indeed induces compensatory shrinkage of neighboring spines within roughly 3 μm ( Figure 2A ; Oh et al, 2015 ; Tong et al, 2021 ), while spines within 3–8 μm are instead potentiated (Tong et al, 2021 ). Early LTP at single spines can facilitate early H-LTP at neighboring spines within 8 μm for 10 min ( Figure 2B ; Harvey and Svoboda, 2007 ; Hedrick et al, 2016 ), while late LTP can facilitate late H-LTP at neighboring spines within 70 μm for upwards of 45 min (Govindarajan et al, 2011 ).…”

Section: What Is Heterosynaptic Plasticity?mentioning

confidence: 97%

“…However, it is distinct from homeostatic plasticity as the depression arises through LTP induction rather than a change in postsynaptic firing rate, occurs specifically for the unstimulated pathway, and occurs rapidly on a similar timescale with homosynaptic potentiation. Compensatory heterosynaptic plasticity occurring alongside homosynaptic plasticity has since been observed between inputs synapsing onto the same neuron (Royer and Paré, 2003 ; Bian et al, 2015 ; Oh et al, 2015 ; Jungenitz et al, 2018 ; Field et al, 2020 ; Mendes et al, 2020 ; Tong et al, 2021 ), and can also occur following homosynaptic LTD with compensatory heterosynaptic potentiation (H-LTP; Royer and Paré, 2003 ; Field et al, 2020 ). The change in the weight of inactive synapses does not always occur in the opposite direction of homosynaptic change, but can instead be dependent on the initial synaptic weight of the inactive synapse, with strong inactive inputs depressed and weak inactive synapses potentiated or left unchanged (Letellier et al, 2016 ; Bannon et al, 2017 ; Chistiakova et al, 2019 ; Field et al, 2020 ).…”

Section: What Is Heterosynaptic Plasticity?mentioning

confidence: 99%

“…Several signaling pathways downstream of NMDA and TrkB receptor activation are crucial for heterosynaptic signaling. In particular, activation of Ca 2+ -calmodulin-dependent protein kinase II (CaMKII) by Ca 2+ entry through NMDA receptors is required for H-LTP, but not H-LTD with CaMKII blockade, in fact, biasing heterosynaptic plasticity towards H-LTD (Chu et al, 2015 ; Oh et al, 2015 ; Tong et al, 2021 ). In contrast, Ca 2+ -dependent activation of the serine/threonine protein phosphatase calcineurin is required for H-LTD, and blockage of calcineurin leads to H-LTP of spines that would otherwise undergo H-LTD (Oh et al, 2015 ; Tong et al, 2021 ).…”

Section: Molecular Mechanisms Of Heterosynaptic Plasticitymentioning

confidence: 99%

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Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits

Jenks

Tsimring

et al. 2021

Front. Neural Circuits

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Neurons remodel the structure and strength of their synapses during critical periods of development in order to optimize both perception and cognition. Many of these developmental synaptic changes are thought to occur through synapse-specific homosynaptic forms of experience-dependent plasticity. However, homosynaptic plasticity can also induce or contribute to the plasticity of neighboring synapses through heterosynaptic interactions. Decades of research in vitro have uncovered many of the molecular mechanisms of heterosynaptic plasticity that mediate local compensation for homosynaptic plasticity, facilitation of further bouts of plasticity in nearby synapses, and cooperative induction of plasticity by neighboring synapses acting in concert. These discoveries greatly benefited from new tools and technologies that permitted single synapse imaging and manipulation of structure, function, and protein dynamics in living neurons. With the recent advent and application of similar tools for in vivo research, it is now feasible to explore how heterosynaptic plasticity contribute to critical periods and the development of neuronal circuits. In this review, we will first define the forms heterosynaptic plasticity can take and describe our current understanding of their molecular mechanisms. Then, we will outline how heterosynaptic plasticity may lead to meaningful refinement of neuronal responses and observations that suggest such mechanisms are indeed at work in vivo. Finally, we will use a well-studied model of cortical plasticity—ocular dominance plasticity during a critical period of visual cortex development—to highlight the molecular overlap between heterosynaptic and developmental forms of plasticity, and suggest potential avenues of future research.

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Section: What Is Heterosynaptic Plasticity?mentioning

confidence: 97%

Section: What Is Heterosynaptic Plasticity?mentioning

confidence: 99%

Section: Molecular Mechanisms Of Heterosynaptic Plasticitymentioning

confidence: 99%

See 1 more Smart Citation

Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits

Jenks

Tsimring

et al. 2021

Front. Neural Circuits

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“…As a first step into this direction we wondered which realistic synaptic mechanism might enforce specialization of different neurons in a network for different pattern sets. We found that already synaptic competition induced by pre-synaptic hetero-synaptic plasticity 22 yields sufficient selectivity for different patterns in an ensemble of neurons such that identity and order of patterns are represented faithfully (for 7/18 details of the computational implementation see Materials and methods).…”

Section: Diversification By Pre-synaptic Hetero-synaptic Plasticitymentioning

confidence: 99%

“…Plausibly, this leads to competition for changes of different synapses, which affects the respective pre-and post-synaptic components a and b differently. In the current approach we include pre-and post-synaptic competition only for the changes of excitatory weights thereby modeling pre-and post-synaptic versions of hetero-synaptic plasticity 17,22,28,29 Single post-synaptic neuron For a single post-synaptic neuron ( j = 1), we have b i1 =: b i , ε i1 =: ε i , q 1 =: q, and a i1 =: a i . Here inhibitory synapses are changed by…”

Section: Learning Algorithmmentioning

confidence: 99%

Synaptic Self-Organization of Spatio-Temporal Pattern Selectivity

Habibabadi

Pawelzik

2021

Preprint

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Spiking model neurons can be set up to respond selectively to specific spatio-temporal spike patterns by optimization of their input weights. It is unknown, however, if existing synaptic plasticity mechanisms can achieve this temporal mode of neuronal coding and computation. Here it is shown that changes of synaptic efficacies which tend to balance excitatory and inhibitory synaptic inputs can make neurons sensitive to particular input spike patterns. Simulations demonstrate that a combination of Hebbian mechanisms, hetero-synaptic plasticity and synaptic scaling is sufficient for self-organizing sensitivity for spatio-temporal spike patterns that repeat in the input. In networks inclusion of hetero-synaptic plasticity leads to specialization and faithful representation of pattern sequences by a group of target neurons. Pattern detection is found to be robust against a range of distortions and noise. Furthermore, the resulting balance of excitatory and inhibitory inputs protects the memory for a specific pattern from being overwritten during ongoing learning when the pattern is not present. These results not only provide an explanation for experimental observations of balanced excitation and inhibition in cortex but also promote the plausibility of precise temporal coding in the brain.Author summaryNeurons communicate using action potentials, that are pulses localized in time. There is evidence that the exact timing of these so called spikes carries information. The hypothesis, however, that computations in brains are indeed based on precise patterns of spikes is debated particularly because this would require the existence of suitable detectors. While theoretically individual neurons can perform spike pattern detection when their input synapses are carefully adjusted it is not known if existing synaptic plasticity mechanisms support this coding principle. Here, a combination of basic but realistic mechanis ms is demonstrated to self-organize the synaptic input efficacies such that individual neurons become detectors of patterns repeating in the input. The proposed combination of learning mechanisms yields a balance of excitation and inhibition similar to observations in cortex, robustness of detection against perturbations and noise, and persistence of memory against ongoing plasticity without the learned patterns. It enables groups of neurons to incrementally learn sets of patterns thereby faithfully representing their ‘which’ and ‘when’ in sequences. These results suggest that computations based on spatio-temporal spike patterns might emerge without any supervision from the synaptic plasticity mechanisms present in the brain.

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TRPV1 channels in nitric oxide-mediated signalling: insight on excitatory transmission in rat CA1 pyramidal neurons

Gambino

Gallo

Covelo

et al. 2022

Free Radical Biology and Medicine

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Heterosynaptic cross-talk of pre- and postsynaptic strengths along segments of dendrites

Cited by 29 publications

References 80 publications

Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits

Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits

Synaptic Self-Organization of Spatio-Temporal Pattern Selectivity

TRPV1 channels in nitric oxide-mediated signalling: insight on excitatory transmission in rat CA1 pyramidal neurons

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