Dendritic and Axonal Propagation Delays Determine Emergent Structures of Neuronal Networks with Plastic Synapses

Asl, Mojtaba Madadi; Valizadeh, Alireza; Tass, Peter A.

doi:10.1038/srep39682

Cited by 56 publications

(64 citation statements)

References 75 publications

(136 reference statements)

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“…Accordingly, future studies should also use other neuronal network models, e.g., network of FitzHugh-Rinzel bursting neurons (Rinzel, 1987 ; Izhikevich, 2001 ). By the same token, sham stimulation should ideally be inactive also in the presence of additional features and mechanisms, such as synaptic noise (Destexhe et al, 2003 ), propagation delays (Madadi Asl et al, 2017 ) as well for different stimulation mechanisms, e.g., excitatory vs. inhibitory stimulation (Popovych and Tass, 2012 ). Hence, future computational studies should take into account these refinements, too.…”

Section: Discussionmentioning

confidence: 99%

Computationally Developed Sham Stimulation Protocol for Multichannel Desynchronizing Stimulation

Zeitler

Tass

2018

Front. Physiol.

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A characteristic pattern of abnormal brain activity is abnormally strong neuronal synchronization, as found in several brain disorders, such as tinnitus, Parkinson's disease, and epilepsy. As observed in several diseases, different therapeutic interventions may induce a placebo effect that may be strong and hinder reliable clinical evaluations. Hence, to distinguish between specific, neuromodulation-induced effects and unspecific, placebo effects, it is important to mimic the therapeutic procedure as precisely as possibly, thereby providing controls that actually lack specific effects. Coordinated Reset (CR) stimulation has been developed to specifically counteract abnormally strong synchronization by desynchronization. CR is a spatio-temporally patterned multichannel stimulation which reduces the extent of coincident neuronal activity and aims at an anti-kindling, i.e., an unlearning of both synaptic connectivity and neuronal synchrony. Apart from acute desynchronizing effects, CR may cause sustained, long-lasting desynchronizing effects, as already demonstrated in pre-clinical and clinical proof of concept studies. In this computational study, we set out to computationally develop a sham stimulation protocol for multichannel desynchronizing stimulation. To this end, we compare acute effects and long-lasting effects of six different spatio-temporally patterned stimulation protocols, including three variants of CR, using a no-stimulation condition as additional control. This is to provide an inventory of different stimulation algorithms with similar fundamental stimulation parameters (e.g., mean stimulation rates) but qualitatively different acute and/or long-lasting effects. Stimulation protocols sharing basic parameters, but inducing nevertheless completely different or even no acute effects and/or after-effects, might serve as controls to validate the specific effects of particular desynchronizing protocols such as CR. In particular, based on our computational findings we propose a multichannel sham (i.e., inactive) stimulation protocol as control condition for phase 2 and phase 3 studies with desynchronizing multichannel stimulation techniques.

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Section: Discussionmentioning

confidence: 99%

Computationally Developed Sham Stimulation Protocol for Multichannel Desynchronizing Stimulation

Zeitler

Tass

2018

Front. Physiol.

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“…However, it is possible to stabilize strong bidirectional connections by employing variations of STDP 22 or by considering independent noise 31 in the plastic neuronal networks. On the other hand, as shown recently, by taking into account dendritic and axonal propagation delays, the conventional pair-based additive STDP may lead to the emergence of different connectivity patterns including both unidirectional and bidirectional connections, or decoupled neurons 32 .…”

Section: Introductionmentioning

confidence: 99%

Delay-Induced Multistability and Loop Formation in Neuronal Networks with Spike-Timing-Dependent Plasticity

Asl

Valizadeh

Tass

2018

Sci Rep

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Spike-timing-dependent plasticity (STDP) adjusts synaptic strengths according to the precise timing of pre- and postsynaptic spike pairs. Theoretical and computational studies have revealed that STDP may contribute to the emergence of a variety of structural and dynamical states in plastic neuronal populations. In this manuscript, we show that by incorporating dendritic and axonal propagation delays in recurrent networks of oscillatory neurons, the asymptotic connectivity displays multistability, where different structures emerge depending on the initial distribution of the synaptic strengths. In particular, we show that the standard deviation of the initial distribution of synaptic weights, besides its mean, determines the main properties of the emergent structural connectivity such as the mean final synaptic weight, the number of two-neuron loops and the symmetry of the final structure. We also show that the firing rates of the neurons affect the evolution of the network, and a more symmetric configuration of the synapses emerges at higher firing rates. We justify the network results based on a two-neuron framework and show how the results translate to large recurrent networks.

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“…In STDP, the occurrence of timing-dependent-long-term potentiation (tLTP) or -depression (tLTD) is the result of three factors. The two first ones are the two coincident activity patterns on either side of the synapse, which depends on (1) the relative timing between pre- and postsynaptic spikes (Δ t STDP ) 4 , 8 , (2) the dendritic and axonal propagation delays 9 , (3) the number of paired spikes ( N pairings ) 10 – 13 , (4) the frequency of the paired spikes ( F pairings ) 6 , 7 , 10 , 11 , 14 and (5) membrane depolarization 14 , 15 ; the third factor involves in STDP expression mainly refers to neuromodulators 16 , 17 and glial cells 18 .…”

Section: Introductionmentioning

confidence: 99%

Robustness of STDP to spike timing jitter

Cui

Prokin

Mendes

et al. 2018

Sci Rep

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In Hebbian plasticity, neural circuits adjust their synaptic weights depending on patterned firing. Spike-timing-dependent plasticity (STDP), a synaptic Hebbian learning rule, relies on the order and timing of the paired activities in pre- and postsynaptic neurons. Classically, in ex vivo experiments, STDP is assessed with deterministic (constant) spike timings and time intervals between successive pairings, thus exhibiting a regularity that differs from biological variability. Hence, STDP emergence from noisy inputs as occurring in in vivo-like firing remains unresolved. Here, we used noisy STDP pairings where the spike timing and/or interval between pairings were jittered. We explored with electrophysiology and mathematical modeling, the impact of jitter on three forms of STDP at corticostriatal synapses: NMDAR-LTP, endocannabinoid-LTD and endocannabinoid-LTP. We found that NMDAR-LTP was highly fragile to jitter, whereas endocannabinoid-plasticity appeared more resistant. When the frequency or number of pairings was increased, NMDAR-LTP became more robust and could be expressed despite strong jittering. Our results identify endocannabinoid-plasticity as a robust form of STDP, whereas the sensitivity to jitter of NMDAR-LTP varies with activity frequency. This provides new insights into the mechanisms at play during the different phases of learning and memory and the emergence of Hebbian plasticity in in vivo-like activity.

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Dendritic and Axonal Propagation Delays Determine Emergent Structures of Neuronal Networks with Plastic Synapses

Cited by 56 publications

References 75 publications

Computationally Developed Sham Stimulation Protocol for Multichannel Desynchronizing Stimulation

Computationally Developed Sham Stimulation Protocol for Multichannel Desynchronizing Stimulation

Delay-Induced Multistability and Loop Formation in Neuronal Networks with Spike-Timing-Dependent Plasticity

Robustness of STDP to spike timing jitter

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