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Olshausen BA, Field DJ (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381:607-9 [PubMed]

References and models cited by this paper

References and models that cite this paper

Balas BJ, Sinha P (2006) Receptive field structures for recognition. Neural Comput 18:497-520 [Journal] [PubMed]
Bogacz R, Brown MW, Giraud-Carrier C (2001) Model of familiarity discrimination in the perirhinal cortex. J Comput Neurosci 10:5-23 [PubMed]
Bush P, Priebe N (1998) GABAergic inhibitory control of the transient and sustained components of orientation selectivity in a model microcolumn in layer 4 of cat visual cortex. Neural Comput 10:855-67 [PubMed]
Casile A, Rucci M (2006) A theoretical analysis of the influence of fixational instability on the development of thalamocortical connectivity. Neural Comput 18:569-90 [Journal] [PubMed]
Cayco-Gajic NA, Clopath C, Silver RA (2017) Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nat Commun 8:1116 [Journal] [PubMed]
   Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) [Model]
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]
Cuntz H, Haag J, Forstner F, Segev I, Borst A (2007) Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons. Proc Natl Acad Sci U S A 104:10229-33 [Journal] [PubMed]
Dayan P (2006) Images, frames, and connectionist hierarchies. Neural Comput 18:2293-319 [Journal] [PubMed]
Deco G, Zihl J (2001) A Neurodynamical Model of Visual Attention: Feedback Enhancement of Spatial Resolution in a Hierarchical System J Comput Neurosci 10:231-253 [Journal]
Ernst U, Rotermund D, Pawelzik K (2007) Efficient computation based on stochastic spikes. Neural Comput 19:1313-43 [Journal] [PubMed]
Falconbridge MS, Stamps RL, Badcock DR (2005) A Simple Hebbian/Anti-Hebbian Network Learns the Sparse, Independent Components of Natural Images Neural Comput 18:415-429
García-Sanchez M, Huerta R (2003) Design parameters of the fan-out phase of sensory systems. J Comput Neurosci 15:5-17 [PubMed]
Grimes DB, Rao RP (2005) Bilinear sparse coding for invariant vision. Neural Comput 17:47-73 [Journal] [PubMed]
Hasler S, Wersing H, Körner E (2007) Combining reconstruction and discrimination with class-specific sparse coding. Neural Comput 19:1897-918 [Journal] [PubMed]
Jaramillo S, Pearlmutter BA (2007) Optimal coding predicts attentional modulation of activity in neural systems. Neural Comput 19:1295-312 [Journal] [PubMed]
Karklin Y, Lewicki MS (2005) A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. Neural Comput 17:397-423 [Journal] [PubMed]
King PD, Zylberberg J, DeWeese MR (2013) Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. J Neurosci 33:5475-85 [Journal] [PubMed]
   Inhibitory cells enable sparse coding in V1 model (King et al. 2013) [Model]
Li M, Clark JJ (2004) A temporal stability approach to position and attention-shift-invariant recognition. Neural Comput 16:2293-321 [Journal] [PubMed]
Lian Y, Grayden DB, Kameneva T, Meffin H, Burkitt AN (2019) Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding Frontiers in Neural Circuits 13:13 [Journal]
   Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019) [Model]
Lörincz A, Buzsáki G (2000) Two-phase computational model training long-term memories in the entorhinal-hippocampal region. Ann N Y Acad Sci 911:83-111 [PubMed]
Maeda S, Song WJ, Ishii S (2005) Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model. Neural Comput 17:115-44 [Journal] [PubMed]
Mayer N, Herrmann JM, Geisel T (2003) Shaping of receptive fields in the visual cortex during retinal maturation. J Comput Neurosci 15:307-20 [PubMed]
McFarland JM, Cui Y, Butts DA (2013) Inferring nonlinear neuronal computation based on physiologically plausible inputs. PLoS Comput Biol 9:e1003143 [Journal] [PubMed]
   Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013) [Model]
Miao X, Rao RP (2007) Learning the Lie groups of visual invariance. Neural Comput 19:2665-93 [Journal] [PubMed]
Murray JF, Kreutz-Delgado K (2007) Visual recognition and inference using dynamic overcomplete sparse learning. Neural Comput 19:2301-52 [Journal] [PubMed]
Olshausen BA, Field DJ (2005) How close are we to understanding v1? Neural Comput 17:1665-99 [Journal] [PubMed]
Osindero S, Welling M, Hinton GE (2005) Topographic Product Models Applied to Natural Scene Statistics Neural Comput 18:381-414
Rao RP, Ballard DH (1999) Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat Neurosci 2:79-87 [Journal] [PubMed]
Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J Comput Neurosci 22:135-46 [Journal] [PubMed]
Roelfsema PR, van Ooyen A (2005) Attention-gated reinforcement learning of internal representations for classification. Neural Comput 17:2176-214 [Journal] [PubMed]
Schwartz O, Sejnowski TJ, Dayan P (2006) Soft mixer assignment in a hierarchical generative model of natural scene statistics. Neural Comput 18:2680-718 [Journal] [PubMed]
Szatmáry B, Lorincz A (2001) Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex. J Comput Neurosci 11:241-8 [PubMed]
Triesch J (2007) Synergies between intrinsic and synaptic plasticity mechanisms. Neural Comput 19:885-909 [Journal] [PubMed]
Turner R, Sahani M (2007) A maximum-likelihood interpretation for slow feature analysis. Neural Comput 19:1022-38 [Journal] [PubMed]
Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA (2003) Adaptation and temporal decorrelation by single neurons in the primary visual cortex. J Neurophysiol 89:3279-93 [Journal] [PubMed]
   Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003) [Model]
Yu Y, Migliore M, Hines ML, Shepherd GM (2014) Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition. J Neurosci 34:13701-13 [Journal] [PubMed]
Zhang K, Chan LW (2005) An Adaptive Method for Subband Decomposition ICA Neural Comput 18:191-223
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