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Neuromodulation of STDP through short-term changes in firing causality

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Abstract

Spike timing dependent plasticity (STDP) likely plays an important role in forming and changing connectivity patterns between neurons in our brain. In a unidirectional synaptic connection between two neurons, it uses the causal relation between spiking activity of a presynaptic input neuron and a postsynaptic output neuron to change the strength of this connection. While the nature of STDP benefits unsupervised learning of correlated inputs, any incorporation of value into the learning process needs some form of reinforcement. Chemical neuromodulators such as Dopamine or Acetylcholine are thought to signal changes between external reward and internal expectation to many brain regions, including the basal ganglia. This effect is often modelled through a direct inclusion of the level of Dopamine as a third factor into the STDP rule. While this gives the benefit of direct control over synaptic modification, it does not account for observed instantaneous effects in neuronal activity on application of Dopamine agonists. Specifically, an instant facilitation of neuronal excitability in the striatum can not be explained by the only indirect effect that dopamine-modulated STDP has on a neuron’s firing pattern. We therefore propose a model for synaptic transmission where the level of neuromodulator does not directly influence synaptic plasticity, but instead alters the relative firing causality between pre- and postsynaptic neurons. Through the direct effect on postsynaptic activity, our rule allows indirect modulation of the learning outcome even with unmodulated, two-factor STDP. However, it also does not prohibit joint operation together with three-factor STDP rules.

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References

  • Bi G, Poo M (2001) Synaptic modification by correlated activity: Hebb’s postulate revisited. Annu Rev Neurosci 24:139–166. doi:10.1146/annurev.neuro.24.1.139

    Google Scholar 

  • Chorley P, Seth AK (2011) Dopamine-signaled reward predictions generated by competitive excitation and inhibition in a spiking neural network model. Frontiers Comput Neurosci 5(May):21. doi:10.3389/fncom.2011.00021

  • Farries MA, Fairhall AL (2007) Reinforcement learning with modulated spike timing dependent synaptic plasticity. J Neurophysiol 98(6):3648–3665. doi:10.1152/jn.00364.2007

    Google Scholar 

  • Humphries M, Khamassi M, Gurney K (2012) Dopaminergic control of the exploration-exploitation trade-off via the basal ganglia 6(February):1–14. doi:10.3389/fnins.2012.00009

  • Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw (a publication of the IEEE Neural Networks Council) 14(6):1569–1572. doi:10.1109/TNN.2003.820440

  • Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw (a publication of the IEEE Neural Networks Council) 15(5):1063–1070. doi:10.1109/TNN.2004.832719

  • Izhikevich EM (2007) Solving the distal reward problem through linkage of STDP and dopamine signaling. Cereb Cortex 17(10):2443–2452. doi:10.1093/cercor/bhl152

    Google Scholar 

  • Kroener S, Chandler LJ, Phillips PEM, Seamans JK (2009) Dopamine modulates persistent synaptic activity and enhances the signal-to-noise ratio in the prefrontal cortex. PloS One 4(8):e6507. doi:10.1371/journal.pone.0006507

  • Masquelier T, Guyonneau R, Thorpe SJ (2008) Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PloS One 3(1):e1377. doi:10.1371/journal.pone.0001377

  • Morrison A, Diesmann M, Gerstner W (2008) Phenomenological models of synaptic plasticity based on spike timing. Biol Cybern 98(6):459–478. doi:10.1007/s00422-008-0233-1

    Google Scholar 

  • Pfister J-P, Gerstner W (2006) Triplets of spikes in a model of spike timing-dependent plasticity. J Neurosc 26(38):9673–9682. doi:10.1523/JNEUROSCI.1425-06.2006

    Google Scholar 

  • Potjans W, Morrison A, Diesmann M (2009) A spiking neural network model of an actor-critic learning agent. Neural Comput 21(2):301–339. doi:10.1162/neco.2008.08-07-593

    Google Scholar 

  • Redgrave P, Gurney K (2006) The short-latency dopamine signal: a role in discovering novel actions? Nature reviews. Neuroscience 7(12):967–975. doi:10.1038/nrn2022

    Google Scholar 

  • Reynolds JNJ, Wickens JR (2002) Dopamine-dependent plasticity of corticostriatal synapses. Neural Netw 15(4–6), 507–521

    Google Scholar 

  • Schultz W, Dayan P, Montague PR (1997) A neural substrate of prediction and reward. Science 275(5306):1593

    Google Scholar 

  • Shen W, Flajolet M, Greengard P, Surmeier DJ (2008) Dichotomous dopaminergic control of striatal synaptic plasticity. Science 321(5890):848–851. doi:10.1126/science.1160575

    Google Scholar 

  • Surmeier DJ, Ding J, Day M, Wang Z, Shen W (2007) D1 and D2 dopamine-receptor modulation of striatal glutamatergic signaling in striatal medium spiny neurons. Trends Neurosci 30(5):228–235

    Article  PubMed  CAS  Google Scholar 

  • Thurley K, Senn W, Lüscher HR (2008) Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons. J Neurophysiol 99(6):2985–2997. doi:10.1152/jn.01098.2007

    Google Scholar 

  • Trimmer PC, Houston AI, Marshall JAR, Bogacz R, Paul ES, Mendl MT, McNamara JM (2008) Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems. Proceedings. Biol Sci/R Soc 275(1649):2353–2561. doi:10.1098/rspb.2008.0417

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Acknowledgments

We would like to thank A. Moser for interesting discussions on this topic.

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Correspondence to Simon M. Vogt.

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Vogt, S.M., Hofmann, U.G. Neuromodulation of STDP through short-term changes in firing causality. Cogn Neurodyn 6, 353–366 (2012). https://doi.org/10.1007/s11571-012-9202-4

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  • DOI: https://doi.org/10.1007/s11571-012-9202-4

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