Abbott LF, van Vreeswijk C. (1993). Asynchronous states in networks of pulse-coupled oscillators. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 48 [PubMed]
Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..
Arieli A et al. (1991). Optical imaging of architecture and function in the living brain Memory: Organization Locus of Change.
Blasdel GG. (1992). Differential imaging of ocular dominance and orientation selectivity in monkey striate cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 12 [PubMed]
Blasdel GG. (1992). Orientation selectivity, preference, and continuity in monkey striate cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 12 [PubMed]
Chawanya T, Aoyagi T, Nishikawa I, Okuda K, Kuramoto Y. (1993). A model for feature linking via collective oscillations in the primary visual cortex. Biological cybernetics. 68 [PubMed]
Everson RM et al. (1998). Representation of spatial frequency and orientation in the visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]
Ferster D, Chung S, Wheat H. (1996). Orientation selectivity of thalamic input to simple cells of cat visual cortex. Nature. 380 [PubMed]
Geisler WS, Albrecht TD. (1994). Visual cortex neurons in monkey and cat: Contrast response nonlinearities and stimulus selectivity Proc SPIE Int Soc Opt Eng. 2054
Gerstner W. (1995). Time structure of the activity in neural network models. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51 [PubMed]
Gerstner W, van Hemmen JL, Cowan JD. (1996). What matters in neuronal locking? Neural computation. 8 [PubMed]
Golomb D, Rinzel J. (1993). Dynamics of globally coupled inhibitory neurons with heterogeneity. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 48 [PubMed]
HUBEL DH, WIESEL TN. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of physiology. 160 [PubMed]
Johannesma PIM. (1969). Stochastic Neural Activity: A Theoretical Investigation Ph.D. thesis.
Kaplan E et al. (1996). Modeling the functional organization of the visual cortex Physica D. 96
Kaplan E, Omurtag A, Sirovich L, Knight B. (1999). Efficient simulation of large neuronal populations: An investigation of orientation tuning in the visual cortex Invest Opthalmol Visual Sci. 40
Keener J, Sneyd J. (1998). Mathematical Physiology Interdisciplinary Applied Mathematics. 8
Knight BW. (1972). Dynamics of encoding in a population of neurons. The Journal of general physiology. 59 [PubMed]
Knight BW. (2000). Dynamics of encoding in neuron populations: some general mathematical features. Neural computation. 12 [PubMed]
Knight BW, Omurtag A, Sirovich L. (1999). Dynamics of Neuronal Populations: Stability theory.
Knight BW, Omurtag A, Sirovich L. (2000). Dynamics of neuronal populations: The equilibrium solution. Siam J Applied Math. 60
Kuramoto Y. (1991). Collective synchronization of pulse-coupled oscillators and excitable units Physica D. 50
Niebur E, Schuster HG, Usher M. (1993). Dynamics of populations of integrate-and-fire neurons, partial synchronization and memory Neural Comput. 5
Nykamp DQ, Tranchina D. (2000). A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. Journal of computational neuroscience. 8 [PubMed]
Optican LM, Purpura KP, Chee-orts M-N. (1996). Adynamical model of the primate‚Äos early visual pathway: Effect of luminance contrast, spatial scale, and spatial orientation in shaping neuronal firing patterns .
Peskin CS. (1975). Mathematical Aspects of Heart Physiology Courant Institute of Mathematical Sciences.
Ringach DL, Hawken MJ, Shapley R. (1997). Dynamics of orientation tuning in macaque primary visual cortex. Nature. 387 [PubMed]
Schuster HG, Wagner P. (1990). A model for neuronal oscillations in the visual cortex. 2. Phase description of the feature dependent synchronization. Biological cybernetics. 64 [PubMed]
Segev I, Shepherd GM, Rall W. (1995). The Theoretical Foundation Of Dendritic Function.
Shapley R, Shelley M, Wielaard J, Mclaughlin D. (1998). Models of neuronal dynamics in the visual cortex .
Sillito AM. (1975). The contribution of inhibitory mechanisms to the receptive field properties of neurones in the striate cortex of the cat. The Journal of physiology. 250 [PubMed]
Singer W, Gray CM. (1995). Visual feature integration and the temporal correlation hypothesis. Annual review of neuroscience. 18 [PubMed]
Sirovich L, Knight B, Manin D. (1996). Dynamical models of interacting neuron populations Symposium on Robotics and Cybernetics: Computational Engineering in Systems Applications.
Somers DC, Nelson SB, Sur M. (1995). An emergent model of orientation selectivity in cat visual cortical simple cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 15 [PubMed]
Sompolinsky H, Golomb D, Kleinfeld D. (1991). Cooperative dynamics in visual processing. Physical review. A, Atomic, molecular, and optical physics. 43 [PubMed]
Strogatz SH, Mirollo RE. (1990). Synchronization of pulse-coupled biological oscillators. Siam J Appl Math. 6
Tsodyks M, Mitkov I, Sompolinsky H. (1993). Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions. Physical review letters. 71 [PubMed]
Tuckwell HC. (1988). Introduction to Theoretical Neurobiology. Volume 2: Nonlinear and Stochastic Theories .
Wilbur WJ, Rinzel J. (1982). An analysis of Stein's model for stochastic neuronal excitation. Biological cybernetics. 45 [PubMed]
Wörgötter F, Koch C. (1991). A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 11 [PubMed]
Beim Graben P, Rodrigues S. (2012). A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons. Frontiers in computational neuroscience. 6 [PubMed]
Brown E, Moehlis J, Holmes P. (2004). On the phase reduction and response dynamics of neural oscillator populations. Neural computation. 16 [PubMed]
Brown E et al. (2004). The influence of spike rate and stimulus duration on noradrenergic neurons. Journal of computational neuroscience. 17 [PubMed]
Câteau H, Reyes AD. (2006). Relation between single neuron and population spiking statistics and effects on network activity. Physical review letters. 96 [PubMed]
Eggert J, van Hemmen JL. (2001). Modeling neuronal assemblies: theory and implementation. Neural computation. 13 [PubMed]
Hamaguchi K, Okada M, Aihara K. (2007). Variable timescales of repeated spike patterns in synfire chain with Mexican-hat connectivity. Neural computation. 19 [PubMed]
Huertas MA, Groff JR, Smith GD. (2005). Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission. Journal of computational neuroscience. 19 [PubMed]
Linaro D, Storace M, Giugliano M. (2011). Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation. PLoS computational biology. 7 [PubMed]
Ly C, Tranchina D. (2007). Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling. Neural computation. 19 [PubMed]
Lytton WW, Omurtag A. (2007). Tonic-clonic transitions in computer simulation. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society. 24 [PubMed]
Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]
Nicola W, Campbell SA. (2013). Bifurcations of large networks of two-dimensional integrate and fire neurons. Journal of computational neuroscience. 35 [PubMed]
Nykamp DQ, Tranchina D. (2000). A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. Journal of computational neuroscience. 8 [PubMed]
Omurtag A, Lytton WW. (2010). Spectral method and high-order finite differences for the nonlinear cable equation. Neural computation. 22 [PubMed]
Troyer TW. (2006). Factors affecting phase synchronization in integrate-and-fire oscillators. Journal of computational neuroscience. 20 [PubMed]
Visser S, van Gils SA. (2014). Lumping Izhikevich neurons EPJ Nonlinear Biomedical Physics. 25(12)