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

Carvalho TP, Buonomano DV. (2009). Differential effects of excitatory and inhibitory plasticity on synaptically driven neuronal input-output functions. Neuron. 61 [PubMed]

• Balance of excitation and inhibition (Carvalho and Buonomano 2009) [Model]

Chadderdon GL, Neymotin SA, Kerr CC, Lytton WW. (2012). Reinforcement learning of targeted movement in a spiking neuronal model of motor cortex. PloS one. 7 [PubMed]

• Reinforcement learning of targeted movement (Chadderdon et al. 2012) [Model]

Delorme A. (2003). Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies Journal of computational neuroscience. 15 [PubMed]

Ernst U, Rotermund D, Pawelzik K. (2007). Efficient computation based on stochastic spikes. Neural computation. 19 [PubMed]

Fransén E, Lansner A. (1998). A model of cortical associative memory based on a horizontal network of connected columns. Network (Bristol, England). 9 [PubMed]

Gutkin B, Ermentrout GB, Rudolph M. (2003). Spike generating dynamics and the conditions for spike-time precision in cortical neurons. Journal of computational neuroscience. 15 [PubMed]

Kiani R, Esteky H, Mirpour K, Tanaka K. (2007). Object category structure in response patterns of neuronal population in monkey inferior temporal cortex. Journal of neurophysiology. 97 [PubMed]

Lundqvist M, Rehn M, Djurfeldt M, Lansner A. (2006). Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17 [PubMed]

Lytton WW. (1998). Adapting a feedforward heteroassociative network to Hodgkin-Huxley dynamics. Journal of computational neuroscience. 5 [PubMed]

• Feedforward heteroassociative network with HH dynamics (Lytton 1998) [Model]

Lücke J, von der Malsburg C. (2004). Rapid processing and unsupervised learning in a model of the cortical macrocolumn. Neural computation. 16 [PubMed]

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]

Masuda N, Aihara K. (2003). Duality of rate coding and temporal coding in multilayered feedforward networks. Neural computation. 15 [PubMed]

Molineux ML, Fernandez FR, Mehaffey WH, Turner RW. (2005). A-type and T-type currents interact to produce a novel spike latency-voltage relationship in cerebellar stellate cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

• IA and IT interact to set first spike latency (Molineux et al 2005) [Model]

Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M. (2018). First-Spike-Based Visual Categorization Using Reward-Modulated STDP IEEE Transactions on Neural Networks and Learning Systems.

• First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018) [Model]

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

Steuber V, Willshaw D. (2004). A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell. Journal of computational neuroscience. 17 [PubMed]

Tang AC, Bartels AM, Wolfe J. (1999). Cholinergic modulation of spike timing and spike rate Neurocomputing. 26-27

Tsodyks M, Uziel A, Markram H. (2000). Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Viéville T, Crahay S. (2004). Using an Hebbian learning rule for multi-class SVM classifiers. Journal of computational neuroscience. 17 [PubMed]