Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]

• Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]

Béhuret S, Deleuze C, Gomez L, Frégnac Y, Bal T. (2013). Cortically-controlled population stochastic facilitation as a plausible substrate for guiding sensory transfer across the thalamic gateway PLoS computational biology. 9 [PubMed]

• A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013) [Model]

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. Frontiers in neural circuits. 8 [PubMed]

• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [Model]

Górski T et al. (2018). Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity. Journal of computational neuroscience. 45 [PubMed]

• Response to correlated synaptic input for HH/IF point neuron vs with dendrite (Górski et al 2018) [Model]

Hass J, Hertäg L, Durstewitz D. (2016). A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS computational biology. 12 [PubMed]

• A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

Hayut I, Fanselow EE, Connors BW, Golomb D. (2011). LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS computational biology. 7 [PubMed]

• Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011) [Model]

Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [Model]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Litwin-Kumar A, Doiron B. (2012). Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature neuroscience. 15 [PubMed]

• Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]

Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Nandy AS, Nassi JJ, Reynolds JH. (2017). Laminar Organization of Attentional Modulation in Macaque Visual Area V4. Neuron. 93 [PubMed]

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Reimann MW et al. (2017). Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Frontiers in computational neuroscience. 11 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Rossant C, Leijon S, Magnusson AK, Brette R. (2011). Sensitivity of noisy neurons to coincident inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011) [Model]

Sadeh S, Clopath C. (2020). Theory of neuronal perturbome in cortical networks Proceedings of the National Academy of Sciences of the United States of America. 117 [PubMed]

• A computational model of single-neuron perturbations (Sadeh and Clopath 2020) [Model]

Sadeh S, Rotter S. (2015). Orientation selectivity in inhibition-dominated networks of spiking neurons: effect of single neuron properties and network dynamics. PLoS computational biology. 11 [PubMed]

• Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015) [Model]

Simmonds B, Chacron MJ. (2015). Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS computational biology. 11 [PubMed]

• ELL pyramidal neuron (Simmonds and Chacron 2014) [Model]

Tan AY, Andoni S, Priebe NJ. (2013). A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience. 247 [PubMed]

• Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013) [Model]

Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of neurophysiology. 112 [PubMed]

Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. (2011). Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334 [PubMed]

• Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) [Model]

Wimmer K et al. (2015). Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature communications. 6 [PubMed]

• Hierarchical network model of perceptual decision making (Wimmer et al 2015) [Model]