Adelson EH, Bergen JR. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America. A, Optics and image science. 2 [PubMed]

See more from authors: Adelson EH · Bergen JR

References and models cited by this paper
References and models that cite this paper

Bayerl P, Neumann H. (2004). Disambiguating visual motion through contextual feedback modulation. Neural computation. 16 [PubMed]

Berkes P, Wiskott L. (2006). On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. Neural computation. 18 [PubMed]

Buchs NJ, Senn W. (2002). Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. Journal of computational neuroscience. 13 [PubMed]

Cadieu C et al. (2007). A model of V4 shape selectivity and invariance. Journal of neurophysiology. 98 [PubMed]

Cai D, DeAngelis GC, Freeman RD. (1997). Spatiotemporal receptive field organization in the lateral geniculate nucleus of cats and kittens. Journal of neurophysiology. 78 [PubMed]

Chen Y, Qian N. (2004). A coarse-to-fine disparity energy model with both phase-shift and position-shift receptive field mechanisms. Neural computation. 16 [PubMed]

Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.

Gruntman E, Romani S, Reiser MB. (2018). Simple integration of fast excitation and offset, delayed inhibition computes directional selectivity in Drosophila. Nature neuroscience. 21 [PubMed]

Imaoka H, Okajima K. (2004). An algorithm for the detection of faces on the basis of Gabor features and information maximization. Neural computation. 16 [PubMed]

Klam F, Zemel RS, Pouget A. (2008). Population coding with motion energy filters: the impact of correlations. Neural computation. 20 [PubMed]

Leon PS, Vanzetta I, Masson GS, Perrinet LU. (2012). Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of neurophysiology. 107 [PubMed]

Mahani AS, Wessel R. (2005). Motion contrast classification is a linearly nonseparable problem. Neural computation. 17 [PubMed]

McFarland JM, Cui Y, Butts DA. (2013). Inferring nonlinear neuronal computation based on physiologically plausible inputs. PLoS computational biology. 9 [PubMed]

Mo CH, Koch C. (2003). Modeling reverse-phi motion-selective neurons in cortex: double synaptic-veto mechanism. Neural computation. 15 [PubMed]

Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]

Peterhans E, Heitger F. (2001). Simulation of neuronal responses defining depth order and contrast polarity at illusory contours in monkey area V2. Journal of computational neuroscience. 10 [PubMed]

Poirazi P, Brannon T, Mel BW. (2003). Pyramidal neuron as two-layer neural network. Neuron. 37 [PubMed]

Pouget A, Dayan P, Zemel RS. (2003). Inference and computation with population codes. Annual review of neuroscience. 26 [PubMed]

Qian N, Andersen RA. (1997). A physiological model for motion-stereo integration and a unified explanation of Pulfrich-like phenomena. Vision research. 37 [PubMed]

Salazar-Gatzimas E et al. (2016). Direct Measurement of Correlation Responses in Drosophila Elementary Motion Detectors Reveals Fast Timescale Tuning. Neuron. 92 [PubMed]

Simon JZ, Depireux DA, Klein DJ, Fritz JB, Shamma SA. (2007). Temporal symmetry in primary auditory cortex: implications for cortical connectivity. Neural computation. 19 [PubMed]

Tsang EK, Shi BE. (2004). A preference for phase-based disparity in a neuromorphic implementation of the binocular energy model. Neural computation. 16 [PubMed]

Tuthill JC, Chiappe ME, Reiser MB. (2011). Neural correlates of illusory motion perception in Drosophila. Proceedings of the National Academy of Sciences of the United States of America. 108 [PubMed]

Ujfalussy BB, Makara JK, Lengyel M, Branco T. (2018). Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100 [PubMed]

Wimmer K et al. (2015). Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature communications. 6 [PubMed]

de Polavieja GG. (2006). Neuronal algorithms that detect the temporal order of events. Neural computation. 18 [PubMed]

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