Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Thomson AM, Lamy C (2007) Functional maps of neocortical local circuitry. Front Neurosci 1:19-42 [PubMed]

References and models cited by this paper

References and models that cite this paper

Djurfeldt M (2012) The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics 10:287-304 [Journal] [PubMed]
   Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) [Model]
Ferrante M, Migliore M, Ascoli GA (2009) Feed-forward inhibition as a buffer of the neuronal input-output relation. Proc Natl Acad Sci U S A 106:18004-9 [Journal] [PubMed]
   Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009) [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 Comput Biol 12:e1004930 [Journal] [PubMed]
   A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [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]
London M, Roth A, Beeren L, Häusser M, Latham PE (2010) Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature 466:123-7 [Journal] [PubMed]
   Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010) [Model]
Markram H, Muller E, Ramaswamy S, Reimann MW, Abdellah M, Sanchez CA, Ailamaki A, Alonso-Nanclares L, Antille N, Arsever S, Kahou GA, Berger TK, Bilgili A, Buncic N, Chalimourda A, Chindemi G, Courcol JD, Delalondre F, Delattre V, Druckmann S, Dumusc R, Dynes J, Eilemann S, Gal E, Gevaert ME, Ghobril JP, Gidon A, Graham JW, Gupta A, Haenel V, Hay E, Heinis T, Hernando JB, Hines M, Kanari L, Keller D, Kenyon J, Khazen G, Kim Y, King JG, Kisvarday Z, Kumbhar P, Lasserre S, Le Bé JV, Magalhães BR, Merchán-Pérez A, Meystre J, Morrice BR, Muller J, Muñoz-Céspedes A, Muralidhar S, Muthurasa K, Nachbaur D, Newton TH, Nolte M, Ovcharenko A, Palacios J, Pastor L, Perin R, Ranjan R, Riachi I, Rodríguez JR, Riquelme JL, Rössert C, Sfyrakis K, Shi Y, Shillcock JC, Silberberg G, Silva R, Tauheed F, Telefont M, Toledo-Rodriguez M, Tränkler T, Van Geit W, Díaz JV, Walker R, Wang Y, Zaninetta SM (2015) Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:456-92 [Journal] [PubMed]
   The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]
Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW (2013) Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. Neural Comput 25:3263-93 [Journal] [PubMed]
   Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013) [Model]
Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P (2013) Induction and modulation of persistent activity in a layer V PFC microcircuit model. Front Neural Circuits 7:161 [Journal] [PubMed]
   L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013) [Model]
Potjans TC, Diesmann M (2014) The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cereb Cortex 24:785-806 [Journal] [PubMed]
   A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [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. J Neurophysiol 112:1801-14 [Journal] [PubMed]
Weiler N, Wood L, Yu J, Solla SA, Shepherd GM (2008) Top-down laminar organization of the excitatory network in motor cortex. Nat Neurosci 11:360-6 [Journal] [PubMed]
   Laminar connectivity matrix simulation (Weiler et al 2008) [Model]
(14 refs)