Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)


Scheler G. (2017). Logarithmic distributions prove that intrinsic learning is Hebbian. F1000Research. 6 [PubMed]

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References and models cited by this paper

Barbour B, Brunel N, Hakim V, Nadal JP. (2007). What can we learn from synaptic weight distributions? Trends in neurosciences. 30 [PubMed]

Campanac E, Daoudal G, Ankri N, Debanne D. (2008). Downregulation of dendritic I(h) in CA1 pyramidal neurons after LTP. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Campanac E, Debanne D. (2007). Plasticity of neuronal excitability: Hebbian rules beyond the synapse. Archives italiennes de biologie. 145 [PubMed]

Campanac E et al. (2013). Enhanced intrinsic excitability in basket cells maintains excitatory-inhibitory balance in hippocampal circuits. Neuron. 77 [PubMed]

Cannon J, Miller P. (2017). Stable Control of Firing Rate Mean and Variance by Dual Homeostatic Mechanisms. Journal of mathematical neuroscience. 7 [PubMed]

Crow EL, Shimizu K. (1988). Lognormal Distributions: Theory and Applications.

Daoudal G, Debanne D. (2003). Long-term plasticity of intrinsic excitability: learning rules and mechanisms. Learning & memory (Cold Spring Harbor, N.Y.). 10 [PubMed]

Desai NS. (2003). Homeostatic plasticity in the CNS: synaptic and intrinsic forms. Journal of physiology, Paris. 97 [PubMed]

Frick A, Feldmeyer D, Helmstaedter M, Sakmann B. (2008). Monosynaptic connections between pairs of L5A pyramidal neurons in columns of juvenile rat somatosensory cortex. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]

Frick A, Magee J, Johnston D. (2004). LTP is accompanied by an enhanced local excitability of pyramidal neuron dendrites. Nature neuroscience. 7 [PubMed]

Gilson M, Savin C, Zenke F. (2015). Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity. Frontiers in computational neuroscience. 9 [PubMed]

Greenhill SD, Ranson A, Fox K. (2015). Hebbian and Homeostatic Plasticity Mechanisms in Regular Spiking and Intrinsic Bursting Cells of Cortical Layer 5. Neuron. 88 [PubMed]

Hung CP, Kreiman G, Poggio T, DiCarlo JJ. (2005). Fast readout of object identity from macaque inferior temporal cortex. Science (New York, N.Y.). 310 [PubMed]

Häusser M, Clark BA. (1997). Tonic synaptic inhibition modulates neuronal output pattern and spatiotemporal synaptic integration. Neuron. 19 [PubMed]

Ikegaya Y et al. (2013). Interpyramid spike transmission stabilizes the sparseness of recurrent network activity. Cerebral cortex (New York, N.Y. : 1991). 23 [PubMed]

Isope P, Barbour B. (2002). Properties of unitary granule cell-->Purkinje cell synapses in adult rat cerebellar slices. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Limpert E, Stahel W, Abbt M. (2001). Log-normal distributions across the sciences: Keys and clues Bioscience. 51(5)

Mahon S, Deniau JM, Charpier S. (2003). Various synaptic activities and firing patterns in cortico-striatal and striatal neurons in vivo. Journal of physiology, Paris. 97 [PubMed]

Mochizuki Y et al. (2016). Similarity in Neuronal Firing Regimes across Mammalian Species. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

Naudé J, Cessac B, Berry H, Delord B. (2013). Effects of cellular homeostatic intrinsic plasticity on dynamical and computational properties of biological recurrent neural networks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Nigam S et al. (2016). Rich-Club Organization in Effective Connectivity among Cortical Neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

O'Connor DH, Peron SP, Huber D, Svoboda K. (2010). Neural activity in barrel cortex underlying vibrissa-based object localization in mice. Neuron. 67 [PubMed]

Paz JT et al. (2009). Multiple forms of activity-dependent intrinsic plasticity in layer V cortical neurones in vivo. The Journal of physiology. 587 [PubMed]

Raman IM, Bean BP. (1999). Ionic currents underlying spontaneous action potentials in isolated cerebellar Purkinje neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [PubMed]

Roitman AV, Pasalar S, Johnson MT, Ebner TJ. (2005). Position, direction of movement, and speed tuning of cerebellar Purkinje cells during circular manual tracking in monkey. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

Rudolph M, Destexhe A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience. 119 [PubMed]

Scheler G. (2004). Regulation of neuromodulator receptor efficacy--implications for whole-neuron and synaptic plasticity. Progress in neurobiology. 72 [PubMed]

Scheler G. (2014). Learning intrinsic excitability in medium spiny neurons F1000res. 2

Scheler G. (2016). Extreme pattern compression in log-normal networks [version 1; not peer reviewed]. F1000Res. (poster). 5

Scheler G. (2018). Neuromodulation influences synchronization and intrinsic read-out. F1000Research. 7 [PubMed]

Scheler G, Schumann J. (2006). Diversity and stability in neuronal output rates In Soc Neurosci Meeting.

Sehgal M, Song C, Ehlers VL, Moyer JR. (2013). Learning to learn - intrinsic plasticity as a metaplasticity mechanism for memory formation. Neurobiology of learning and memory. 105 [PubMed]

Stemmler M, Koch C. (1999). How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate. Nature neuroscience. 2 [PubMed]

Tetzlaff C, Kolodziejski C, Markelic I, Wörgötter F. (2012). Time scales of memory, learning, and plasticity. Biological cybernetics. 106 [PubMed]

Tully PJ, Hennig MH, Lansner A. (2014). Synaptic and nonsynaptic plasticity approximating probabilistic inference. Frontiers in synaptic neuroscience. 6 [PubMed]

Wang X, Lu T, Snider RK, Liang L. (2005). Sustained firing in auditory cortex evoked by preferred stimuli. Nature. 435 [PubMed]

Whitaker LR et al. (2017). Bidirectional Modulation of Intrinsic Excitability in Rat Prelimbic Cortex Neuronal Ensembles and Non-Ensembles after Operant Learning. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Zenke F, Gerstner W. (2017). Hebbian plasticity requires compensatory processes on multiple timescales. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 372 [PubMed]

Zhang Y, Cudmore RH, Lin DT, Linden DJ, Huganir RL. (2015). Visualization of NMDA receptor-dependent AMPA receptor synaptic plasticity in vivo. Nature neuroscience. 18 [PubMed]

Zohar O, Shackleton TM, Palmer AR, Shamir M. (2013). The effect of correlated neuronal firing and neuronal heterogeneity on population coding accuracy in guinea pig inferior colliculus. PloS one. 8 [PubMed]

de Solages C et al. (2008). High-frequency organization and synchrony of activity in the purkinje cell layer of the cerebellum. Neuron. 58 [PubMed]

van Rossum MC, Bi GQ, Turrigiano GG. (2000). Stable Hebbian learning from spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

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