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

See more from authors: Bittner SR · Williamson RC · Snyder AC · Litwin-Kumar A · Doiron B · Chase SM · Smith MA · Yu BM

References and models cited by this paper

Anderson EB, Mitchell JF, Reynolds JH. (2011). Attentional modulation of firing rate varies with burstiness across putative pyramidal neurons in macaque visual area V4. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Anderson EB, Mitchell JF, Reynolds JH. (2013). Attention-dependent reductions in burstiness and action-potential height in macaque area V4. Nature neuroscience. 16 [PubMed]

Barthó P et al. (2004). Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. Journal of neurophysiology. 92 [PubMed]

Bouchard KE, Mesgarani N, Johnson K, Chang EF. (2013). Functional organization of human sensorimotor cortex for speech articulation. Nature. 495 [PubMed]

Cardin JA. (2012). Dissecting local circuits in vivo: integrated optogenetic and electrophysiology approaches for exploring inhibitory regulation of cortical activity. Journal of physiology, Paris. 106 [PubMed]

Churchland MM et al. (2012). Neural population dynamics during reaching. Nature. 487 [PubMed]

Churchland MM et al. (2010). Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nature neuroscience. 13 [PubMed]

Cohen JY, Haesler S, Vong L, Lowell BB, Uchida N. (2012). Neuron-type-specific signals for reward and punishment in the ventral tegmental area. Nature. 482 [PubMed]

Cohen MR, Maunsell JH. (2010). A neuronal population measure of attention predicts behavioral performance on individual trials. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Compte A, Brunel N, Goldman-Rakic PS, Wang XJ. (2000). Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral cortex (New York, N.Y. : 1991). 10 [PubMed]

Cunningham JP, Yu BM. (2014). Dimensionality reduction for large-scale neural recordings. Nature neuroscience. 17 [PubMed]

Dempster AP, Laird NM, Rubin DB. (1977). Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B. 39

Denève S, Machens CK. (2016). Efficient codes and balanced networks. Nature neuroscience. 19 [PubMed]

Doiron B, Rosenbaum R. (2014). Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections Physical Review X. 4

Durstewitz D, Vittoz NM, Floresco SB, Seamans JK. (2010). Abrupt transitions between prefrontal neural ensemble states accompany behavioral transitions during rule learning. Neuron. 66 [PubMed]

Ecker AS et al. (2014). State dependence of noise correlations in macaque primary visual cortex. Neuron. 82 [PubMed]

Everitt BS. (1984). An introduction to latent variable models.

Gentet LJ et al. (2012). Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex. Nature neuroscience. 15 [PubMed]

Harvey CD, Coen P, Tank DW. (2012). Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature. 484 [PubMed]

Hennequin G, Vogels TP, Gerstner W. (2014). Optimal control of transient dynamics in balanced networks supports generation of complex movements. Neuron. 82 [PubMed]

Isaacson JS, Scanziani M. (2011). How inhibition shapes cortical activity. Neuron. 72 [PubMed]

Kaufman MT et al. (2010). Roles of monkey premotor neuron classes in movement preparation and execution. Journal of neurophysiology. 104 [PubMed]

Kawaguchi Y. (1993). Groupings of nonpyramidal and pyramidal cells with specific physiological and morphological characteristics in rat frontal cortex. Journal of neurophysiology. 69 [PubMed]

Kelly RC, Smith MA, Kass RE, Lee TS. (2010). Local field potentials indicate network state and account for neuronal response variability. Journal of computational neuroscience. 29 [PubMed]

Kim H, Ährlund-Richter S, Wang X, Deisseroth K, Carlén M. (2016). Prefrontal Parvalbumin Neurons in Control of Attention. Cell. 164 [PubMed]

Kohn A, Coen-Cagli R, Kanitscheider I, Pouget A. (2016). Correlations and Neuronal Population Information. Annual review of neuroscience. 39 [PubMed]

Lee D, Port NL, Kruse W, Georgopoulos AP. (1998). Variability and correlated noise in the discharge of neurons in motor and parietal areas of the primate cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

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

Litwin-Kumar A, Rosenbaum R, Doiron B. (2016). Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. Journal of neurophysiology. 115 [PubMed]

Luczak A, Barthó P, Harris KD. (2009). Spontaneous events outline the realm of possible sensory responses in neocortical populations. Neuron. 62 [PubMed]

Machens CK, Kohn A, Zandvakili A, Byron MY, Semedo J. (2014). Extracting latent structure from multiple interacting neural populations Advances in neural information processing systems.

Macke JH, Berens P, Ecker AS, Tolias AS, Bethge M. (2009). Generating spike trains with specified correlation coefficients. Neural computation. 21 [PubMed]

Mante V, Sussillo D, Shenoy KV, Newsome WT. (2013). Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature. 503 [PubMed]

Mazor O, Laurent G. (2005). Transient dynamics versus fixed points in odor representations by locust antennal lobe projection neurons. Neuron. 48 [PubMed]

Mazzucato L, Fontanini A, La Camera G. (2016). Stimuli Reduce the Dimensionality of Cortical Activity. Frontiers in systems neuroscience. 10 [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]

Morris RG, Anderson E, Lynch GS, Baudry M. (1986). Selective impairment of learning and blockade of long-term potentiation by an N-methyl-D-aspartate receptor antagonist, AP5. Nature. 319 [PubMed]

Pakan JM et al. (2016). Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex. eLife. 5 [PubMed]

Peters A, Jones EG. (1984). Cellular components of the cerebral cortex Clinical Neurophysiology. 58

Peters A, Sethares C. (1991). Organization of pyramidal neurons in area 17 of monkey visual cortex. The Journal of comparative neurology. 306 [PubMed]

Renart A et al. (2010). The asynchronous state in cortical circuits. Science (New York, N.Y.). 327 [PubMed]

Rigotti M et al. (2013). The importance of mixed selectivity in complex cognitive tasks. Nature. 497 [PubMed]

Ringach DL et al. (2016). Spatial clustering of tuning in mouse primary visual cortex. Nature communications. 7 [PubMed]

Rosenbaum R, Smith MA, Kohn A, Rubin JE, Doiron B. (2017). The spatial structure of correlated neuronal variability. Nature neuroscience. 20 [PubMed]

Sadtler PT et al. (2014). Neural constraints on learning. Nature. 512 [PubMed]

Samonds JM, Potetz BR, Lee TS. (2009). Cooperative and competitive interactions facilitate stereo computations in macaque primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Santhanam G et al. (2009). Factor-analysis methods for higher-performance neural prostheses. Journal of neurophysiology. 102 [PubMed]

Shadlen MN, Newsome WT. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Shoham S, Fellows MR, Normann RA. (2003). Robust, automatic spike sorting using mixtures of multivariate t-distributions. Journal of neuroscience methods. 127 [PubMed]

Smith MA, Kohn A. (2008). Spatial and temporal scales of neuronal correlation in primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Snyder AC, Morais MJ, Smith MA. (2016). Dynamics of excitatory and inhibitory networks are differentially altered by selective attention. Journal of neurophysiology. 116 [PubMed]

Sussillo D, Churchland MM, Kaufman MT, Shenoy KV. (2015). A neural network that finds a naturalistic solution for the production of muscle activity. Nature neuroscience. 18 [PubMed]

Vogels TP, Abbott LF. (2005). Signal propagation and logic gating in networks of integrate-and-fire neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

Williamson RC et al. (2016). Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models. PLoS computational biology. 12 [PubMed]

Wonders CP, Anderson SA. (2006). The origin and specification of cortical interneurons. Nature reviews. Neuroscience. 7 [PubMed]

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

Yu BM et al. (2009). Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. Journal of neurophysiology. 102 [PubMed]

Zohary E, Shadlen MN, Newsome WT. (1994). Correlated neuronal discharge rate and its implications for psychophysical performance. Nature. 370 [PubMed]

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

References and models that cite this paper
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.