Brecht M, Sakmann B. (2002). Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex. The Journal of physiology. 543 [PubMed]

Conde-Sousa E, Aguiar P. (2013). A working memory model for serial order that stores information in the intrinsic excitability properties of neurons. Journal of computational neuroscience. 35 [PubMed]

• Storing serial order in intrinsic excitability: a working memory model (Conde-Sousa & Aguiar 2013) [Model]

Helmstaedter M, Sakmann B, Feldmeyer D. (2009). The relation between dendritic geometry, electrical excitability, and axonal projections of L2/3 interneurons in rat barrel cortex. Cerebral cortex (New York, N.Y. : 1991). 19 [PubMed]

• Axonal Projection and Interneuron Types (Helmstaedter et al. 2008) [Model]

Helmstaedter M, Staiger JF, Sakmann B, Feldmeyer D. (2008). Efficient recruitment of layer 2/3 interneurons by layer 4 input in single columns of rat somatosensory cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

• Axonal Projection and Interneuron Types (Helmstaedter et al. 2008) [Model]

Hiratani N, Fukai T. (2018). Redundancy in synaptic connections enables neurons to learn optimally. Proceedings of the National Academy of Sciences of the United States of America. 115 [PubMed]

• A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018) [Model]

Kepecs A, Raghavachari S. (2007). Gating information by two-state membrane potential fluctuations. Journal of neurophysiology. 97 [PubMed]

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

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

Parekh R, Ascoli GA. (2013). Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron. 77 [PubMed]

• Neuronal morphology goes digital ... (Parekh & Ascoli 2013) [Model]

Ramaswamy S et al. (2015). The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Frontiers in neural circuits. 9 [PubMed]

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

Reimann MW, King JG, Muller EB, Ramaswamy S, Markram H. (2015). An algorithm to predict the connectome of neural microcircuits. Frontiers in computational neuroscience. 9 [PubMed]

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

Traub RD et al. (2005). Single-column thalamocortical network model exhibiting gamma oscillations, sleep spindles, and epileptogenic bursts. Journal of neurophysiology. 93 [PubMed]

• A single column thalamocortical network model (Traub et al 2005) [Model]
• Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017) [Model]

Treves A. (2003). Computational constraints that may have favoured the lamination of sensory cortex. Journal of computational neuroscience. 14 [PubMed]