Cayco-Gajic NA, Clopath C, Silver RA. (2017). Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications. 8 [PubMed]

• Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) [Model]

Falconbridge MS, Stamps RL, Badcock DR. (2005). A Simple Hebbian/Anti-Hebbian Network Learns the Sparse, Independent Components of Natural Images Neural Comput. 18

King PD, Zylberberg J, DeWeese MR. (2013). Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• Inhibitory cells enable sparse coding in V1 model (King et al. 2013) [Model]

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]

• Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012) [Model]

Masquelier T. (2012). Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Journal of computational neuroscience. 32 [PubMed]

• Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012) [Model]

Murray JF, Kreutz-Delgado K. (2007). Visual recognition and inference using dynamic overcomplete sparse learning. Neural computation. 19 [PubMed]

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

Sharpee T, Rust NC, Bialek W. (2004). Analyzing neural responses to natural signals: maximally informative dimensions. Neural computation. 16 [PubMed]

Simmonds B, Chacron MJ. (2015). Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. PLoS computational biology. 11 [PubMed]

• ELL pyramidal neuron (Simmonds and Chacron 2014) [Model]

Triesch J. (2007). Synergies between intrinsic and synaptic plasticity mechanisms. Neural computation. 19 [PubMed]

Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA. (2003). Adaptation and temporal decorrelation by single neurons in the primary visual cortex. Journal of neurophysiology. 89 [PubMed]

• Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003) [Model]

Wennekers T, Ay N. (2005). Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural computation. 17 [PubMed]

Yu Y, Migliore M, Hines ML, Shepherd GM. (2014). Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]