Citation Relationships



Esposito U, Giugliano M, van Rossum M, Vasilaki E (2014) Measuring symmetry, asymmetry and randomness in neural network connectivity. PLoS One 9:e100805 [PubMed]

   Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)

References and models cited by this paper

References and models that cite this paper

Babadi B, Abbott LF (2013) Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. PLoS Comput Biol 9:e1002906 [Journal] [PubMed]

Bock DD, Lee WC, Kerlin AM, Andermann ML, Hood G, Wetzel AW, Yurgenson S, Soucy ER, Kim HS, Reid RC (2011) Network anatomy and in vivo physiology of visual cortical neurons. Nature 471:177-82 [Journal] [PubMed]

Bourjaily MA, Miller P (2011) Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks. Front Comput Neurosci 5:37 [Journal] [PubMed]

Bourjaily MA, Miller P (2011) Synaptic plasticity and connectivity requirements to produce stimulus-pair specific responses in recurrent networks of spiking neurons. PLoS Comput Biol 7:e1001091 [Journal] [PubMed]

Briggman KL, Denk W (2006) Towards neural circuit reconstruction with volume electron microscopy techniques. Curr Opin Neurobiol 16:562-70 [Journal] [PubMed]

Briggman KL, Helmstaedter M, Denk W (2011) Wiring specificity in the direction-selectivity circuit of the retina. Nature 471:183-8 [Journal] [PubMed]

Clopath C, Büsing L, Vasilaki E, Gerstner W (2010) Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci 13:344-52 [Journal] [PubMed]

   Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W (2008) Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol 4:e1000248 [Journal] [PubMed]

   Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) [Model]

Dayan P, Abbott LF (2001) Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems

Gerstner W, Kistler WM (2002) Spiking neuron models

Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM (2004) ModelDB: A Database to Support Computational Neuroscience. J Comput Neurosci 17:7-11 [Journal] [PubMed]

Insel TR, Volkow ND, Li TK, Battey JF, Landis SC (2003) Neuroscience networks: data-sharing in an information age. PLoS Biol 1:E17 [Journal] [PubMed]

Koslow SH, Subramanian S (2005) Databasing the brain: From data to knowledge (Neuroinformatics)

Kötter R (2001) Neuroscience databases: tools for exploring brain structure-function relationships. Philos Trans R Soc Lond B Biol Sci 356:1111-20 [Journal] [PubMed]

Lefort S, Tomm C, Floyd Sarria JC, Petersen CC (2009) The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. Neuron 61:301-16 [Journal] [PubMed]

Lichtman JW, Sanes JR (2008) Ome sweet ome: what can the genome tell us about the connectome? Curr Opin Neurobiol 18:346-53 [Journal] [PubMed]

Luo L, Callaway EM, Svoboda K (2008) Genetic dissection of neural circuits. Neuron 57:634-60 [Journal] [PubMed]

Newman ME (2010) Networks: an Introduction

Perin R, Berger TK, Markram H (2011) A synaptic organizing principle for cortical neuronal groups. Proc Natl Acad Sci U S A 108:5419-24 [Journal] [PubMed]

Pfister JP, Gerstner W (2006) Triplets of spikes in a model of spike timing-dependent plasticity. J Neurosci 26:9673-82 [Journal] [PubMed]

Pignatelli M (2009) Structure and Function of the Olfactory Bulb Microcircuit. Ph.D. thesis

Richmond P, Buesing L, Giugliano M, Vasilaki E (2011) Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PLoS One 6:e18539 [Journal] [PubMed]

   Democratic population decisions result in robust policy-gradient learning (Richmond et al. 2011) [Model]

Seung HS (2009) Reading the book of memory: sparse sampling versus dense mapping of connectomes. Neuron 62:17-29 [Journal] [PubMed]

Silberberg G, Markram H (2007) Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells. Neuron 53:735-46 [Journal] [PubMed]

Smith SJ (2007) Circuit reconstruction tools today. Curr Opin Neurobiol 17:601-8 [Journal] [PubMed]

Song S, Sjöström PJ, Reigl M, Nelson S, Chklovskii DB (2005) Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol 3:e68 [Journal] [PubMed]

Sporns O, Tononi G, Kötter R (2005) The human connectome: A structural description of the human brain. PLoS Comput Biol 1:e42 [Journal] [PubMed]

Varshney LR, Chen BL, Paniagua E, Hall DH, Chklovskii DB (2011) Structural properties of the Caenorhabditis elegans neuronal network. PLoS Comput Biol 7:e1001066 [Journal] [PubMed]

Vasilaki E, Frémaux N, Urbanczik R, Senn W, Gerstner W (2009) Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. PLoS Comput Biol 5:e1000586 [Journal] [PubMed]

Vasilaki E, Fusi S, Wang XJ, Senn W (2009) Learning flexible sensori-motor mappings in a complex network. Biol Cybern 100:147-58 [Journal] [PubMed]

Vasilaki E, Giugliano M (2014) Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PLoS One 9:e84626 [Journal] [PubMed]

   Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]

Wang Y, Markram H, Goodman PH, Berger TK, Ma J, Goldman-Rakic PS (2006) Heterogeneity in the pyramidal network of the medial prefrontal cortex. Nat Neurosci 9:534-42 [Journal] [PubMed]

White JG, Southgate E, Thomson JN, Brenner S (1986) The structure of the nervous system of the nematode Caenorhabditis elegans. Philos Trans R Soc Lond B Biol Sci 314:1-340 [Journal] [PubMed]

Esposito U, Giugliano M, Vasilaki E (2015) Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Front Comput Neurosci 8:175 [Journal] [PubMed]

   Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015) [Model]

(34 refs)