Citation Relationships



Turrigiano GG, Leslie KR, Desai NS, Rutherford LC, Nelson SB (1998) Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature 391:892-6[PubMed]

References and models cited by this paper

References and models that cite this paper

Abbott LF, Nelson SB (2000) Synaptic plasticity: taming the beast. Nat Neurosci 3 Suppl:1178-83 [PubMed]

Aumentado-Armstrong T, Metzen MG, Sproule MKJ, Chacron MJ (2015) Electrosensory midbrain neurons display feature invariant responses to natural communication stimuli PLoS Computational Biology 11(10):e1004430 [Journal] [PubMed]

  • Midbrain torus semicircularis neuron model (Aumentado-Armstrong et al. 2015) [Model]

Bartolozzi C, Indiveri G (2007) Synaptic dynamics in analog VLSI. Neural Comput 19:2581-603 [PubMed]

Bednar JA, Kelkar A, Miikkulainen R (2004) Scaling self-organizing maps to model large cortical networks. Neuroinformatics 2:275-302 [PubMed]

  • Scaling self-organizing maps to model large cortical networks (Bednar et al 2004) [Model]

Bhaumik B, Mathur M (2003) A Cooperation and Competition Based Simple Cell Receptive Field Model and Study of Feed-Forward Linear and Nonlinear Contributions to Orientation Selectivity Journal of Computational Neuroscience 14:211-227 [Journal]

Brette R (2012) Computing with neural synchrony PLoS Comput Biol. 8(6):e1002561 [Journal] [PubMed]

  • Computing with neural synchrony (Brette 2012) [Model]

Burkitt AN, Meffin H, Grayden DB (2004) Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural Comput 16:885-940 [PubMed]

Cook EP, Johnston D (1999) Voltage-dependent properties of dendrites that eliminate location-dependent variability of synaptic input. J Neurophysiol 81:535-43 [Journal] [PubMed]

Costa RP, Froemke RC, Sjöström PJ, van Rossum MC (2015) Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. Elife [Journal] [PubMed]

  • Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]

Gottschalk A, Haney P (2003) Computational aspects of anesthetic action in simple neural models. Anesthesiology 98:548-64 [PubMed]

Hausser M, Spruston N, Stuart GJ (2000) Diversity and dynamics of dendritic signaling. Science 290:739-44 [PubMed]

Izhikevich EM (2005) Polychronization: Computation with Spikes Neural Comput 18:245-282 [Journal] [PubMed]

  • Polychronization: Computation With Spikes (Izhikevich 2005) [Model]

Liu Z, Golowasch J, Marder E, Abbott LF (1998) A model neuron with activity-dependent conductances regulated by multiple calcium sensors. J Neurosci 18:2309-20 [PubMed]

  • Activity dependent conductances in a neuron model (Liu et al. 1998) [Model]

Maex R, De Schutter E (1998) Synchronization of golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer. J Neurophysiol 80:2521-37 [Journal] [PubMed]

  • Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998) [Model]
  • Cerebellar granular layer (Maex and De Schutter 1998) [Model]

Mo CH, Gu M, Koch C (2004) A learning rule for local synaptic interactions between excitation and shunting inhibition. Neural Comput 16:2507-32 [PubMed]

Morrison A, Aertsen A, Diesmann M (2007) Spike-timing-dependent plasticity in balanced random networks. Neural Comput 19:1437-67 [PubMed]

Persi E, Horn D, Volman V, Segev R, Ben-Jacob E (2004) Modeling of synchronized bursting events: the importance on inhomogeneity. Neural Comput 16:2577-95 [PubMed]

Rabinowitch I, Segev I (2006a) The endurance and selectivity of spatial patterns of long-term potentiation-depression in dendrites under homeostatic synaptic plasticity. J Neurosci 26:13474-84 [Journal] [PubMed]

  • Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b) [Model]

Rabinowitch I, Segev I (2006b) The interplay between homeostatic synaptic plasticity and functional dendritic compartments. J Neurophysiol 96:276-83 [Journal] [PubMed]

  • Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b) [Model]

Renart A, Moreno-Bote R, Wang XJ, Parga N (2007) Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural Comput 19:1-46 [PubMed]

Renart A, Song P, Wang XJ (2003) Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38:473-85 [PubMed]

Rowan MS, Neymotin SA, Lytton WW (2014) Electrostimulation to reduce synaptic scaling driven progression of Alzheimer's disease. Front Comput Neurosci 8:39 [Journal] [PubMed]

  • Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) [Model]

Segev I, London M (2000) Untangling dendrites with quantitative models. Science 290:744-50 [PubMed]

Sterratt DC, Willshaw D (2008) Inhomogeneities in heteroassociative memories with linear learning rules. Neural Comput 20:311-44 [PubMed]

Toyoizumi T, Kaneko M, Stryker MP, Miller KD (2014) Modeling the dynamic interaction of hebbian and homeostatic plasticity. Neuron 84:497-510 [Journal] [PubMed]

  • Modeling hebbian and homeostatic plasticity (Toyoizumi et al. 2014) [Model]

Triesch J (2007) Synergies between intrinsic and synaptic plasticity mechanisms. Neural Comput 19:885-909 [PubMed]

Troyer TW, Doupe AJ (2000) An associational model of birdsong sensorimotor learning I. Efference copy and the learning of song syllables. J Neurophysiol 84:1204-23 [Journal] [PubMed]

Troyer TW, Doupe AJ (2000) An associational model of birdsong sensorimotor learning II. Temporal hierarchies and the learning of song sequence. J Neurophysiol 84:1224-39 [Journal] [PubMed]

Watt AJ, Sjostrom PJ, Hausser M, Nelson SB, Turrigiano GG (2004) A proportional but slower NMDA potentiation follows AMPA potentiation in LTP. Nat Neurosci 7:518-24 [PubMed]

Wenning G, Obermayer K (2003) Activity driven adaptive stochastic resonance. Phys Rev Lett 90:120602 [PubMed]

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