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Spike-Timing Dependent Plasticity (STDP), Biophysical Models

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Encyclopedia of Computational Neuroscience

Definition

A biophysical model of spike-timing-dependent plasticity (STDP) is one which converts time intervals, in a given firing pattern of synaptically coupled pre- and postsynaptic neurons, to modifications of the connecting synapse. This class of STDP model is defined by their mathematical representation of specific biophysical quantities, which have been shown to play a role in the intracellular mechanisms underlying synaptic plasticity.

Detailed Description

Within the STDP framework, models of synaptic plasticity are dependent on the precise relative timing of pre- and postsynaptic spikes and, broadly speaking, utilize one, or a combination, of two modelling approaches. The first group of STDP models use phenomenological modelling to empirically describe the relationship between the model inputs (pre- and postsynaptic spike times) and the model output (synaptic weight modification). There is usually little or no attempt to represent the intracellular machinery governing synaptic...

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References

  • Abarbanel HDI, Gibb L, Huerta R, Rabinovich MI (2003) Biophysical model of synaptic plasticity dynamics. Biol Cybern 89(3):214–226

    PubMed  Google Scholar 

  • Castellani GC, Quinlan EM, Bersani F, Cooper LN, Shouval HZ (2005) A model of bidirectional synaptic plasticity: from signaling network to channel conductance. Learn Memory (Cold Spring Harbor, NY) 12(4):423–432

    Google Scholar 

  • Graupner M, Brunel N (2007) STDP in a bistable synapse model based on CaMKII and associated signaling pathways. PLoS Comput Biol 3(11):e221

    PubMed Central  PubMed  Google Scholar 

  • Graupner M, Brunel N (2010) Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models. Front Comput Neurosci 4:1–19

    Google Scholar 

  • Ito M (2001) Cerebellar long-term depression: characterization, signal transduction, and functional roles. Physiol Rev 81(3):1143–1195

    CAS  PubMed  Google Scholar 

  • Jain P, Bhalla US (2009) Signaling logic of activity-triggered dendritic protein synthesis: an mTOR gate but not a feedback switch. PLoS Comput Biol 5(2):e1000287

    PubMed Central  PubMed  Google Scholar 

  • Lisman J (1989) A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory. Proc Natl Acad Sci USA 86(23):9574–9578

    PubMed Central  CAS  PubMed  Google Scholar 

  • Lisman JE, Zhabotinsky AM (2001) A model of synaptic memory: viewpoint a CaMKII/PP1 switch that potentiates transmission by organizing an AMPA receptor anchoring assembly. Neuron 31:191–201

    CAS  PubMed  Google Scholar 

  • Lisman J, Schulman H, Cline H (2002) The molecular basis of CaMKII function in synaptic and behavioural memory. Nat Rev Neurosci 3(3):175–190

    CAS  PubMed  Google Scholar 

  • Malenka RC, Bear MF (2004) LTP and LTD: an embarrassment of riches. Neuron 44(1):5–21

    CAS  PubMed  Google Scholar 

  • Manninen T, Hituri K, Kotaleski JH, Blackwell KT, Linne M-L (2010) Postsynaptic signal transduction models for long-term potentiation and depression. Front Comput Neurosci 4(December):1–29

    Google Scholar 

  • Rackham OJL, Tsaneva-Atanasova K, Ganesh A, Mellor JR (2010) A Ca-based computational model for NMDA receptor-dependent synaptic plasticity at individual post-synaptic spines in the hippocampus. Front Synaptic Neurosci 2(July):31

    PubMed Central  CAS  PubMed  Google Scholar 

  • Rubin JE, Gerkin RC, Bi G, Chow CC, Jonathan E (2005) Ca2+ Time course as a signal for spike-timing – dependent plasticity. J Neurophysiol 93:2600–2613

    PubMed  Google Scholar 

  • Shouval HZ, Kalantzis G (2005) Stochastic properties of synaptic transmission affect the shape of spike time – dependent plasticity curves. J Neurophysiol 93:1069–1073

    PubMed  Google Scholar 

  • Shouval HZ, Bear MF, Cooper LN (2002) A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proc Natl Acad Sci USA 99(16):10831–10836

    PubMed Central  CAS  PubMed  Google Scholar 

  • Urakubo H, Honda M, Froemke RC, Kuroda S (2008) Requirement of an allosteric kinetics of NMDA receptors for spike timing-dependent plasticity. J Neurosci J Soc Neurosci 28(13):3310–3323

    CAS  Google Scholar 

  • Zhabotinsky AM (2000) Bistability in the Ca(2+)/calmodulin-dependent protein kinase-phosphatase system. Biophysical Journal 79(5):2211–21

    PubMed Central  CAS  PubMed  Google Scholar 

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Correspondence to Thom Griffith or Jack Mellor .

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Griffith, T., Mellor, J., Tsaneva-Atanasova, K. (2015). Spike-Timing Dependent Plasticity (STDP), Biophysical Models. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_359

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