Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]
Ermentrout B. (1998). Linearization of F-I curves by adaptation. Neural computation. 10 [PubMed]
Goodman D, Brette R. (2008). Brian: a simulator for spiking neural networks in python. Frontiers in neuroinformatics. 2 [PubMed]
Hirase H, Leinekugel X, Czurkó A, Csicsvari J, Buzsáki G. (2001). Firing rates of hippocampal neurons are preserved during subsequent sleep episodes and modified by novel awake experience. Proceedings of the National Academy of Sciences of the United States of America. 98 [PubMed]
Holmgren C, Harkany T, Svennenfors B, Zilberter Y. (2003). Pyramidal cell communication within local networks in layer 2/3 of rat neocortex. The Journal of physiology. 551 [PubMed]
Lazar A, Pipa G, Triesch J. (2009). SORN: a self-organizing recurrent neural network. Frontiers in computational neuroscience. 3 [PubMed]
LeMasson G, Marder E, Abbott LF. (1993). Activity-dependent regulation of conductances in model neurons. Science (New York, N.Y.). 259 [PubMed]
Marsat G, Maler L. (2010). Neural heterogeneity and efficient population codes for communication signals. Journal of neurophysiology. 104 [PubMed]
Mizuseki K, Buzsáki G. (2013). Preconfigured, skewed distribution of firing rates in the hippocampus and entorhinal cortex. Cell reports. 4 [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]
O'Leary T, Williams AH, Caplan JS, Marder E. (2013). Correlations in ion channel expression emerge from homeostatic tuning rules. Proceedings of the National Academy of Sciences of the United States of America. 110 [PubMed]
O'Leary T, Williams AH, Franci A, Marder E. (2014). Cell types, network homeostasis, and pathological compensation from a biologically plausible ion channel expression model. Neuron. 82 [PubMed]
Olypher AV, Prinz AA. (2010). Geometry and dynamics of activity-dependent homeostatic regulation in neurons. Journal of computational neuroscience. 28 [PubMed]
Pape HC, Mager R. (1992). Nitric oxide controls oscillatory activity in thalamocortical neurons. Neuron. 9 [PubMed]
Philippides A, Husbands P, O'Shea M. (2000). Four-dimensional neuronal signaling by nitric oxide: a computational analysis. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]
Roxin A, Brunel N, Hansel D, Mongillo G, van Vreeswijk C. (2011). On the distribution of firing rates in networks of cortical neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]
Seung HS, Sompolinsky H. (1993). Simple models for reading neuronal population codes. Proceedings of the National Academy of Sciences of the United States of America. 90 [PubMed]
Shamir M, Sompolinsky H. (2006). Implications of neuronal diversity on population coding. Neural computation. 18 [PubMed]
Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 [PubMed]
Tripathy SJ, Padmanabhan K, Gerkin RC, Urban NN. (2013). Intermediate intrinsic diversity enhances neural population coding. Proceedings of the National Academy of Sciences of the United States of America. 110 [PubMed]
Vogels TP, Abbott LF. (2005). Signal propagation and logic gating in networks of integrate-and-fire neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]
Zenke F, Hennequin G, Gerstner W. (2013). Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. PLoS computational biology. 9 [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]