Centonze D et al. (2003). Receptor subtypes involved in the presynaptic and postsynaptic actions of dopamine on striatal interneurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

See more from authors: Centonze D · Grande C · Usiello A · Gubellini P · Erbs E · Martin AB · Pisani A · Tognazzi N · Bernardi G · Moratalla R · Borrelli E · Calabresi P

References and models cited by this paper
References and models that cite this paper

Damodaran S, Evans RC, Blackwell KT. (2014). Synchronized firing of fast-spiking interneurons is critical to maintain balanced firing between direct and indirect pathway neurons of the striatum. Journal of neurophysiology. 111 [PubMed]

Frank MJ, Scheres A, Sherman SJ. (2007). Understanding decision-making deficits in neurological conditions: insights from models of natural action selection. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 362 [PubMed]

Humphries MD, Wood R, Gurney K. (2009). Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit. Neural networks : the official journal of the International Neural Network Society. 22 [PubMed]

Kim B, Hawes SL, Gillani F, Wallace LJ, Blackwell KT. (2013). Signaling pathways involved in striatal synaptic plasticity are sensitive to temporal pattern and exhibit spatial specificity. PLoS computational biology. 9 [PubMed]

Kotaleski JH, Plenz D, Blackwell KT. (2006). Using potassium currents to solve signal-to-noise problems in inhibitory feedforward networks of the striatum. Journal of neurophysiology. 95 [PubMed]

Lindskog M, Kim M, Wikström MA, Blackwell KT, Kotaleski JH. (2006). Transient calcium and dopamine increase PKA activity and DARPP-32 phosphorylation. PLoS computational biology. 2 [PubMed]

Nakano T, Doi T, Yoshimoto J, Doya K. (2010). A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity. PLoS computational biology. 6 [PubMed]

Wörgötter F, Porr B. (2005). Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms. Neural computation. 17 [PubMed]

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