Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]

See more from authors: Schmidt M · Bakker R · Shen K · Bezgin G · Diesmann M · van Albada SJ

References and models cited by this paper

Schumann T, Ero C, Gewaltig MO, Delalondre FJ. (2016). Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers. In: Di Napoli E, Hermanns MA, Iliev H, Lintermann A, Peyser A, editors. High-Performance Scientific Computing: First JARA-HPC Symposium,. 10164

Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..

Allen EA, Damaraju E, Eichele T, Wu L, Calhoun VD. (2018). EEG Signatures of Dynamic Functional Network Connectivity States. Brain topography. 31 [PubMed]

Amaral DG, Suzuki WL. (1994). Perirhinal and parahippocampal cortices of the macaque monkey: cortical afferents J Compar Neurol. 350

Anderson JC, Binzegger T, Martin KA, Rockland KS. (1998). The connection from cortical area V1 to V5: a light and electron microscopic study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Angelucci A et al. (2002). Circuits for local and global signal integration in primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Babapoor-Farrokhran S, Hutchison RM, Gati JS, Menon RS, Everling S. (2013). Functional connectivity patterns of medial and lateral macaque frontal eye fields reveal distinct visuomotor networks. Journal of neurophysiology. 109 [PubMed]

Bakker R, Wachtler T, Diesmann M. (2012). CoCoMac 2.0 and the future of tract-tracing databases. Frontiers in neuroinformatics. 6 [PubMed]

Barbas H. (1986). Pattern in the laminar origin of corticocortical connections. The Journal of comparative neurology. 252 [PubMed]

Barbas H, Hilgetag CC, Beul SF. (2017). A predictive structural model of the primate connectome Scientific Reports. 7

Barbas H, Rempel-Clower N. (1997). Cortical structure predicts the pattern of corticocortical connections. Cerebral cortex (New York, N.Y. : 1991). 7 [PubMed]

Barnes CL, Pandya DN. (1992). Efferent cortical connections of multimodal cortex of the superior temporal sulcus in the rhesus monkey. The Journal of comparative neurology. 318 [PubMed]

Barth AL, Poulet JF. (2012). Experimental evidence for sparse firing in the neocortex. Trends in neurosciences. 35 [PubMed]

Bastos AM et al. (2012). Canonical microcircuits for predictive coding. Neuron. 76 [PubMed]

Bastos AM et al. (2015). Visual areas exert feedforward and feedback influences through distinct frequency channels. Neuron. 85 [PubMed]

Beaulieu C, Kisvarday Z, Somogyi P, Cynader M, Cowey A. (1992). Quantitative distribution of GABA-immunopositive and -immunonegative neurons and synapses in the monkey striate cortex (area 17). Cerebral cortex (New York, N.Y. : 1991). 2 [PubMed]

Beierlein M, Connors BW. (2002). Short-term dynamics of thalamocortical and intracortical synapses onto layer 6 neurons in neocortex. Journal of neurophysiology. 88 [PubMed]

Belitski A et al. (2008). Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Bellman R. (1958). On a routing problem Quarterly Of Applied Mathematics. 16

Binzegger T, Douglas RJ, Martin KA. (2004). A quantitative map of the circuit of cat primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Bojak I, Oostendorp TF, Reid AT, Kötter R. (2011). Towards a model-based integration of co-registered electroencephalography/functional magnetic resonance imaging data with realistic neural population meshes. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 369 [PubMed]

Bos H, Diesmann M, Helias M. (2016). Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS computational biology. 12 [PubMed]

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]

Buxton RB, Uludağ K, Dubowitz DJ, Liu TT. (2004). Modeling the hemodynamic response to brain activation. NeuroImage. 23 Suppl 1 [PubMed]

Cabral J, Hugues E, Kringelbach ML, Deco G. (2012). Modeling the outcome of structural disconnection on resting-state functional connectivity. NeuroImage. 62 [PubMed]

Cabral J, Hugues E, Sporns O, Deco G. (2011). Role of local network oscillations in resting-state functional connectivity. NeuroImage. 57 [PubMed]

Cabral J, Kringelbach ML, Deco G. (2014). Exploring the network dynamics underlying brain activity during rest. Progress in neurobiology. 114 [PubMed]

Chang C, Glover GH. (2010). Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage. 50 [PubMed]

Chang YM, Luebke JI. (2007). Electrophysiological diversity of layer 5 pyramidal cells in the prefrontal cortex of the rhesus monkey: in vitro slice studies. Journal of neurophysiology. 98 [PubMed]

Chu CC, Chien PF, Hung CP. (2014). Tuning dissimilarity explains short distance decline of spontaneous spike correlation in macaque V1. Vision research. 96 [PubMed]

Cragg BG. (1967). The density of synapses and neurones in the motor and visual areas of the cerebral cortex. Journal of anatomy. 101 [PubMed]

Cruikshank SJ, Lewis TJ, Connors BW. (2007). Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex. Nature neuroscience. 10 [PubMed]

D'Souza RD, Meier AM, Bista P, Wang Q, Burkhalter A. (2016). Recruitment of inhibition and excitation across mouse visual cortex depends on the hierarchy of interconnecting areas. eLife. 5 [PubMed]

DeFelipe J et al. (2013). New insights into the classification and nomenclature of cortical GABAergic interneurons. Nature reviews. Neuroscience. 14 [PubMed]

Deco G, Jirsa V, McIntosh AR, Sporns O, Kötter R. (2009). Key role of coupling, delay, and noise in resting brain fluctuations. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

Deco G, Jirsa VK. (2012). Ongoing cortical activity at rest: criticality, multistability, and ghost attractors. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Deco G et al. (2013). Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Dehghani N et al. (2016). Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex. Scientific reports. 6 [PubMed]

Dentico D et al. (2014). Reversal of cortical information flow during visual imagery as compared to visual perception. NeuroImage. 100 [PubMed]

Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]

Diesmann M, Shen K, Hilgetag CC, Bezgin G, Schmidt M, Bakker R. (2016). A spiking network model explains multi-scale properties of cortical dynamics BMC Neuroscience.

Diesmann M, Tetzlaff T, Helias M. (2013). Echoes in correlated neural systems New J Phys. 15

Distler C, Boussaoud D, Desimone R, Ungerleider LG. (1993). Cortical connections of inferior temporal area TEO in macaque monkeys. The Journal of comparative neurology. 334 [PubMed]

Dombrowski SM, Hilgetag CC, Barbas H. (2001). Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey. Cerebral cortex (New York, N.Y. : 1991). 11 [PubMed]

Douglas RJ, Martin KA. (2007). Mapping the matrix: the ways of neocortex. Neuron. 56 [PubMed]

Douglas RJ, Martin KA. (2007). Recurrent neuronal circuits in the neocortex. Current biology : CB. 17 [PubMed]

Ecker AS et al. (2010). Decorrelated neuronal firing in cortical microcircuits. Science (New York, N.Y.). 327 [PubMed]

Elston GN. (2003). The pyramidal neuron in occipital, temporal and prefrontal cortex of the owl monkey (Aotus trivirgatus): regional specialization in cell structure. The European journal of neuroscience. 17 [PubMed]

Elston GN, Benavides-Piccione R, Elston A, Manger PR, Defelipe J. (2011). Pyramidal cells in prefrontal cortex of primates: marked differences in neuronal structure among species. Frontiers in neuroanatomy. 5 [PubMed]

Elston GN, Rosa MG. (2000). Pyramidal cells, patches, and cortical columns: a comparative study of infragranular neurons in TEO, TE, and the superior temporal polysensory area of the macaque monkey. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Ercsey-Ravasz M et al. (2013). A predictive network model of cerebral cortical connectivity based on a distance rule. Neuron. 80 [PubMed]

Felleman DJ, Van Essen DC. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral cortex (New York, N.Y. : 1991). 1 [PubMed]

Fourcaud N, Brunel N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural computation. 14 [PubMed]

Fox MD, Raichle ME. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature reviews. Neuroscience. 8 [PubMed]

Friston KJ. (1997). Transients, metastability, and neuronal dynamics. NeuroImage. 5 [PubMed]

Fujisawa S, Amarasingham A, Harrison MT, Buzsáki G. (2008). Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nature neuroscience. 11 [PubMed]

Gal E et al. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature neuroscience. 20 [PubMed]

Girard P, Hupé JM, Bullier J. (2001). Feedforward and feedback connections between areas V1 and V2 of the monkey have similar rapid conduction velocities. Journal of neurophysiology. 85 [PubMed]

Goulas A, Schaefer A, Margulies DS. (2015). The strength of weak connections in the macaque cortico-cortical network. Brain structure & function. 220 [PubMed]

Grytskyy D, Tetzlaff T, Diesmann M, Helias M. (2013). A unified view on weakly correlated recurrent networks. Frontiers in computational neuroscience. 7 [PubMed]

Gur M, Kagan I, Snodderly DM. (2005). Orientation and direction selectivity of neurons in V1 of alert monkeys: functional relationships and laminar distributions. Cerebral cortex (New York, N.Y. : 1991). 15 [PubMed]

Haeusler S, Schuch K, Maass W. (2009). Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates. Journal of physiology, Paris. 103 [PubMed]

Hahn G et al. (2017). Spontaneous cortical activity is transiently poised close to criticality. PLoS computational biology. 13 [PubMed]

Hahne J et al. (2017). Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers in neuroinformatics. 11 [PubMed]

Helias M, Tetzlaff T, Diesmann M. (2014). The correlation structure of local neuronal networks intrinsically results from recurrent dynamics. PLoS computational biology. 10 [PubMed]

Hennequin G, Vogels TP, Gerstner W. (2012). Non-normal amplification in random balanced neuronal networks. Physical review. E, Statistical, nonlinear, and soft matter physics. 86 [PubMed]

Hilgetag CC, Medalla M, Beul SF, Barbas H. (2016). The primate connectome in context: Principles of connections of the cortical visual system. NeuroImage. 134 [PubMed]

Hill S, Tononi G. (2005). Modeling sleep and wakefulness in the thalamocortical system. Journal of neurophysiology. 93 [PubMed]

Hindriks R et al. (2016). Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? NeuroImage. 127 [PubMed]

Hudson AE. (2017). Metastability of Neuronal Dynamics during General Anesthesia: Time for a Change in Our Assumptions? Frontiers in neural circuits. 11 [PubMed]

Hung CP, Chien PF, Chu CCJ. (2014). Multi-electrode recordings of ongoing activity and responses to parametric stimuli in macaque V1 Crcnsorg.

Hupé JM et al. (1998). Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons. Nature. 394 [PubMed]

Hutchison RM et al. (2012). Functional connectivity of the frontal eye fields in humans and macaque monkeys investigated with resting-state fMRI. Journal of neurophysiology. 107 [PubMed]

Hutt A, beim P. (2017). Sequences by metastable attractors: interweaving dynamical systems and experimental data Frontiers In Applied Mathematics And Statistics. 3

Izhikevich EM, Edelman GM. (2008). Large-scale model of mammalian thalamocortical systems. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

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

Jiang X et al. (2015). Principles of connectivity among morphologically defined cell types in adult neocortex. Science (New York, N.Y.). 350 [PubMed]

Jones EG, Coulter JD, Hendry SH. (1978). Intracortical connectivity of architectonic fields in the somatic sensory, motor and parietal cortex of monkeys. The Journal of comparative neurology. 181 [PubMed]

Jouve B, Rosenstiehl P, Imbert M. (1998). A mathematical approach to the connectivity between the cortical visual areas of the macaque monkey. Cerebral cortex (New York, N.Y. : 1991). 8 [PubMed]

Kamiński M, Ding M, Truccolo WA, Bressler SL. (2001). Evaluating causal relations in neural systems: granger causality, directed transfer function and statistical assessment of significance. Biological cybernetics. 85 [PubMed]

Karnani MM, Agetsuma M, Yuste R. (2014). A blanket of inhibition: functional inferences from dense inhibitory connectivity. Current opinion in neurobiology. 26 [PubMed]

Kasthuri N et al. (2015). Saturated Reconstruction of a Volume of Neocortex. Cell. 162 [PubMed]

Kelso JA. (2012). Multistability and metastability: understanding dynamic coordination in the brain. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 367 [PubMed]

Krumnack A, Reid AT, Wanke E, Bezgin G, Kötter R. (2010). Criteria for optimizing cortical hierarchies with continuous ranges. Frontiers in neuroinformatics. 4 [PubMed]

Kunkel S et al. (2014). Spiking network simulation code for petascale computers. Frontiers in neuroinformatics. 8 [PubMed]

Lambiotte R, Blondel VD, Guillaume JL, Lefebvre E. (2008). Fast unfolding of communities in large networks ournal of Statistical Mechanics: Theory and Experiment. 10

Lamme VA, Supèr H, Spekreijse H. (1998). Feedforward, horizontal, and feedback processing in the visual cortex. Current opinion in neurobiology. 8 [PubMed]

Larkum M. (2013). A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex. Trends in neurosciences. 36 [PubMed]

Laumann TO et al. (2017). On the Stability of BOLD fMRI Correlations. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]

Lee JH, Koch C, Mihalas S. (2017). A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing. Frontiers in computational neuroscience. 11 [PubMed]

Liu JV et al. (2013). fMRI in the awake marmoset: somatosensory-evoked responses, functional connectivity, and comparison with propofol anesthesia. NeuroImage. 78 [PubMed]

Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature. 412 [PubMed]

Markov NT et al. (2013). Cortical high-density counterstream architectures. Science (New York, N.Y.). 342 [PubMed]

Markov NT et al. (2014). A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

Markov NT et al. (2011). Weight consistency specifies regularities of macaque cortical networks. Cerebral cortex (New York, N.Y. : 1991). 21 [PubMed]

Markov NT et al. (2014). Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex. The Journal of comparative neurology. 522 [PubMed]

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

Masamoto K, Kim T, Fukuda M, Wang P, Kim SG. (2007). Relationship between neural, vascular, and BOLD signals in isoflurane-anesthetized rat somatosensory cortex. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

Massimini M, Huber R, Ferrarelli F, Hill S, Tononi G. (2004). The sleep slow oscillation as a traveling wave. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

McCormick DA, Connors BW, Lighthall JW, Prince DA. (1985). Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. Journal of neurophysiology. 54 [PubMed]

Mejias JF, Murray JD, Kennedy H, Wang XJ. (2016). Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex. Science advances. 2 [PubMed]

Mitra A, Snyder AZ, Blazey T, Raichle ME. (2015). Lag threads organize the brain's intrinsic activity. Proceedings of the National Academy of Sciences of the United States of America. 112 [PubMed]

Mitra A, Snyder AZ, Hacker CD, Raichle ME. (2014). Lag structure in resting-state fMRI. Journal of neurophysiology. 111 [PubMed]

Morel A, Bullier J. (1990). Anatomical segregation of two cortical visual pathways in the macaque monkey. Visual neuroscience. 4 [PubMed]

Nassi JJ, Gómez-Laberge C, Kreiman G, Born RT. (2014). Corticocortical feedback increases the spatial extent of normalization. Frontiers in systems neuroscience. 8 [PubMed]

Nassi JJ, Lomber SG, Born RT. (2013). Corticocortical feedback contributes to surround suppression in V1 of the alert primate. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Neske GT, Patrick SL, Connors BW. (2015). Contributions of diverse excitatory and inhibitory neurons to recurrent network activity in cerebral cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Nir Y et al. (2011). Regional slow waves and spindles in human sleep. Neuron. 70 [PubMed]

Nordlie E, Gewaltig MO, Plesser HE. (2009). Towards reproducible descriptions of neuronal network models. PLoS computational biology. 5 [PubMed]

O'Donnell C, Gonçalves JT, Portera-Cailliau C, Sejnowski TJ. (2017). Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders. eLife. 6 [PubMed]

O'Kusky J, Colonnier M. (1982). A laminar analysis of the number of neurons, glia, and synapses in the adult cortex (area 17) of adult macaque monkeys. The Journal of comparative neurology. 210 [PubMed]

Ozeki H, Finn IM, Schaffer ES, Miller KD, Ferster D. (2009). Inhibitory stabilization of the cortical network underlies visual surround suppression. Neuron. 62 [PubMed]

Palmer LM et al. (2014). NMDA spikes enhance action potential generation during sensory input. Nature neuroscience. 17 [PubMed]

Pauli R, Weidel P, Kunkel S, Morrison A. (2018). Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models. Frontiers in neuroinformatics. 12 [PubMed]

Perin R, Berger TK, Markram H. (2011). A synaptic organizing principle for cortical neuronal groups. Proceedings of the National Academy of Sciences of the United States of America. 108 [PubMed]

Perkel DJ, Bullier J, Kennedy H. (1986). Topography of the afferent connectivity of area 17 in the macaque monkey: a double-labelling study. The Journal of comparative neurology. 253 [PubMed]

Petilla Interneuron Nomenclature Group et al. (2008). Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex. Nature reviews. Neuroscience. 9 [PubMed]

Pfeffer CK, Xue M, He M, Huang ZJ, Scanziani M. (2013). Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nature neuroscience. 16 [PubMed]

Plesser HE, Diesmann M. (2009). Simplicity and efficiency of integrate-and-fire neuron models. Neural computation. 21 [PubMed]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

Preti MG, Bolton TA, Van De Ville D. (2017). The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage. 160 [PubMed]

Priesemann V et al. (2014). Spike avalanches in vivo suggest a driven, slightly subcritical brain state. Frontiers in systems neuroscience. 8 [PubMed]

Quiroga RQ, Nadasdy Z, Ben-Shaul Y. (2004). Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural computation. 16 [PubMed]

Rao RP, Ballard DH. (1999). Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nature neuroscience. 2 [PubMed]

Reid AT, Krumnack A, Wanke E, Kötter R. (2009). Optimization of cortical hierarchies with continuous scales and ranges. NeuroImage. 47 [PubMed]

Rockland KS, Pandya DN. (1979). Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey. Brain research. 179 [PubMed]

Rosvall M, Bergstrom CT. (2010). Mapping change in large networks. PloS one. 5 [PubMed]

Rubinov M, Sporns O. (2011). Weight-conserving characterization of complex functional brain networks. NeuroImage. 56 [PubMed]

Rudy B, Fishell G, Lee S, Hjerling-Leffler J. (2011). Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Developmental neurobiology. 71 [PubMed]

Sachidhanandam S, Sreenivasan V, Kyriakatos A, Kremer Y, Petersen CC. (2013). Membrane potential correlates of sensory perception in mouse barrel cortex. Nature neuroscience. 16 [PubMed]

Sakata S, Harris KD. (2009). Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex. Neuron. 64 [PubMed]

Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. (2018). Multi-scale account of the network structure of macaque visual cortex. Brain structure & function. 223 [PubMed]

Schuecker J, Schmidt M, van Albada SJ, Diesmann M, Helias M. (2017). Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS computational biology. 13 [PubMed]

Seltzer B, Pandya DN. (1994). Parietal, temporal, and occipital projections to cortex of the superior temporal sulcus in the rhesus monkey: a retrograde tracer study. The Journal of comparative neurology. 343 [PubMed]

Shen K et al. (2012). Information processing architecture of functionally defined clusters in the macaque cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Shen K, Hutchison RM, Bezgin G, Everling S, McIntosh AR. (2015). Network structure shapes spontaneous functional connectivity dynamics. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Sheroziya M, Timofeev I. (2014). Global intracellular slow-wave dynamics of the thalamocortical system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Shimazaki H, Shinomoto S. (2010). Kernel bandwidth optimization in spike rate estimation. Journal of computational neuroscience. 29 [PubMed]

Shinomoto S et al. (2009). Relating neuronal firing patterns to functional differentiation of cerebral cortex. PLoS computational biology. 5 [PubMed]

Shipp S. (2016). Neural Elements for Predictive Coding. Frontiers in psychology. 7 [PubMed]

Shoham S, O'Connor DH, Segev R. (2006). How silent is the brain: is there a "dark matter" problem in neuroscience? Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology. 192 [PubMed]

Singh R et al. (2012). Compass: a scalable simulator for an architecture for Cognitive Computing International Conference on High Performance Computing, Networking, Storage and Analysis. SC’12. Los Alamitos, CA, USA: IEEE Computer Society Press; 2012. p. 54:1–54:11. Available from: http://dl.acm.org/citation.cfm?id=2388996.2389070..

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

Stephan KE et al. (2001). Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 356 [PubMed]

Suzuki WA, Amaral DG. (1994). Topographic organization of the reciprocal connections between the monkey entorhinal cortex and the perirhinal and parahippocampal cortices. The Journal of neuroscience : the official journal of the Society for Neuroscience. 14 [PubMed]

Swadlow HA. (1988). Efferent neurons and suspected interneurons in binocular visual cortex of the awake rabbit: receptive fields and binocular properties. Journal of neurophysiology. 59 [PubMed]

Tetzlaff T, Helias M, Einevoll GT, Diesmann M. (2012). Decorrelation of neural-network activity by inhibitory feedback. PLoS computational biology. 8 [PubMed]

Timme NM et al. (2016). High-Degree Neurons Feed Cortical Computations. PLoS computational biology. 12 [PubMed]

Tremblay R, Lee S, Rudy B. (2016). GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits. Neuron. 91 [PubMed]

Van Essen DC et al. (2001). An integrated software suite for surface-based analyses of cerebral cortex. Journal of the American Medical Informatics Association : JAMIA. 8 [PubMed]

Varela JA et al. (1997). A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 17 [PubMed]

Vincent JL et al. (2007). Intrinsic functional architecture in the anaesthetized monkey brain. Nature. 447 [PubMed]

Vyazovskiy VV et al. (2011). Local sleep in awake rats. Nature. 472 [PubMed]

Webster MJ, Bachevalier J, Ungerleider LG. (1994). Connections of inferior temporal areas TEO and TE with parietal and frontal cortex in macaque monkeys. Cerebral cortex (New York, N.Y. : 1991). 4 [PubMed]

Webster MJ, Ungerleider LG, Bachevalier J. (1991). Connections of inferior temporal areas TE and TEO with medial temporal-lobe structures in infant and adult monkeys. The Journal of neuroscience : the official journal of the Society for Neuroscience. 11 [PubMed]

Welvaert M, Durnez J, Moerkerke B, Verdoolaege G, Rosseel Y. (2011). neuRosim: An R package for generating fMRI data Journal Of Statistical Software. 44

Wong KF, Wang XJ. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Xue M, Atallah BV, Scanziani M. (2014). Equalizing excitation-inhibition ratios across visual cortical neurons. Nature. 511 [PubMed]

Yang GR, Murray JD, Wang XJ. (2016). A dendritic disinhibitory circuit mechanism for pathway-specific gating. Nature communications. 7 [PubMed]

Yoshimura Y, Callaway EM. (2005). Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity. Nature neuroscience. 8 [PubMed]

Yoshimura Y, Dantzker JL, Callaway EM. (2005). Excitatory cortical neurons form fine-scale functional networks. Nature. 433 [PubMed]

Zador AM, Dobrunz LE. (1997). Dynamic synapses in the cortex. Neuron. 19 [PubMed]

Zaitsev AV, Povysheva NV, Gonzalez-Burgos G, Lewis DA. (2012). Electrophysiological classes of layer 2/3 pyramidal cells in monkey prefrontal cortex. Journal of neurophysiology. 108 [PubMed]

Zhou C, Zemanová L, Zamora G, Hilgetag CC, Kurths J. (2006). Hierarchical organization unveiled by functional connectivity in complex brain networks. Physical review letters. 97 [PubMed]

da Costa NM, Martin KA. (2011). How thalamus connects to spiny stellate cells in the cat's visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

van Albada SJ, Helias M, Diesmann M. (2015). Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS computational biology. 11 [PubMed]

van Kerkoerle T et al. (2014). Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]

van Vreeswijk C, Sompolinsky H. (1998). Chaotic balanced state in a model of cortical circuits. Neural computation. 10 [PubMed]

von Stein A, Chiang C, König P. (2000). Top-down processing mediated by interareal synchronization. Proceedings of the National Academy of Sciences of the United States of America. 97 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.