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Isaacson JS, Scanziani M (2011) How inhibition shapes cortical activity. Neuron 72:231-43 [PubMed]

References and models cited by this paper

References and models that cite this paper

Cavallari S, Panzeri S, Mazzoni A (2014) Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Front Neural Circuits 8:12 [Journal] [PubMed]
   I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [Model]
Gidon A, Segev I (2012) Principles governing the operation of synaptic inhibition in dendrites. Neuron 75:330-41 [Journal] [PubMed]
   Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012) [Model]
Kim JK, Fiorillo CD (2017) Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition. Nat Commun 8:14566 [Journal] [PubMed]
   Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017) [Model]
King PD, Zylberberg J, DeWeese MR (2013) Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. J Neurosci 33:5475-85 [Journal] [PubMed]
   Inhibitory cells enable sparse coding in V1 model (King et al. 2013) [Model]
Sadeh S, Clopath C, Rotter S (2015) Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity. PLoS Comput Biol 11:e1004307 [Journal] [PubMed]
   Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) [Model]
Wilmes KA, Sprekeler H, Schreiber S (2016) Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. PLoS Comput Biol 12:e1004768 [Journal] [PubMed]
   Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016) [Model]
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