Abeles M. (1982). Role of the cortical neuron: integrator or coincidence detector? Israel journal of medical sciences. 18 [PubMed]
Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..
Bowers JS. (2009). On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. Psychological review. 116 [PubMed]
Bowers JS. (2017). Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in cognitive sciences. 21 [PubMed]
Brette R. (2012). Computing with neural synchrony. PLoS computational biology. 8 [PubMed]
Brette R. (2015). Philosophy of the Spike: Rate-Based vs. Spike-Based Theories of the Brain. Frontiers in systems neuroscience. 9 [PubMed]
Bruno RM. (2011). Synchrony in sensation. Current opinion in neurobiology. 21 [PubMed]
Burkitt AN. (2006). A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input. Biological cybernetics. 95 [PubMed]
Denève S, Machens CK. (2016). Efficient codes and balanced networks. Nature neuroscience. 19 [PubMed]
Focsa C, Poclet A, Pinchemel B, Le Roy RJ, Bernath PF. (2000). Fourier Transform Spectroscopy of the A'(1)Pi-X(1)Sigma(+) System of CaO. Journal of molecular spectroscopy. 203 [PubMed]
Fontaine B, Peña JL, Brette R. (2014). Spike-threshold adaptation predicted by membrane potential dynamics in vivo. PLoS computational biology. 10 [PubMed]
Gautrais J, Thorpe SJ. (1998). Rank order coding Computational Neuroscience : Trends in Research.
Gerstner W, Naud R. (2009). Neuroscience. How good are neuron models? Science (New York, N.Y.). 326 [PubMed]
Gilson M, Masquelier T, Hugues E. (2011). STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS computational biology. 7 [PubMed]
Gütig R, Aharonov R, Rotter S, Sompolinsky H. (2003). Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Gütig R, Sompolinsky H. (2006). The tempotron: a neuron that learns spike timing-based decisions. Nature neuroscience. 9 [PubMed]
Havenith MN et al. (2011). Synchrony makes neurons fire in sequence, and stimulus properties determine who is ahead. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]
Herrmann M, Prugel-bennett A, Hertz J. (1995). Analysis of synfire chains Computation In Neural Systems. 6
Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM. (2004). ModelDB: A Database to Support Computational Neuroscience. Journal of computational neuroscience. 17 [PubMed]
Humble J, Denham S, Wennekers T. (2012). Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity. Frontiers in computational neuroscience. 6 [PubMed]
Hung CP, Kreiman G, Poggio T, DiCarlo JJ. (2005). Fast readout of object identity from macaque inferior temporal cortex. Science (New York, N.Y.). 310 [PubMed]
Hunzinger JF, Chan VH, Froemke RC. (2012). Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity. Journal of neurophysiology. 108 [PubMed]
Jost J. (2006). Temporal correlation based learning in neuron models. Theory in biosciences = Theorie in den Biowissenschaften. 125 [PubMed]
Kasabov N, Dhoble K, Nuntalid N, Indiveri G. (2013). Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition. Neural networks : the official journal of the International Neural Network Society. 41 [PubMed]
Kayser C, Logothetis NK, Panzeri S. (2010). Millisecond encoding precision of auditory cortex neurons. Proceedings of the National Academy of Sciences of the United States of America. 107 [PubMed]
Kheradpisheh SR, Ganjtabesh M, Masquelier T. (2016). Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition Neurocomputing. 205
Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, Masquelier T. (2018). STDP-based spiking deep convolutional neural networks for object recognition. Neural networks : the official journal of the International Neural Network Society. 99 [PubMed]
Klampfl S, Maass W. (2013). Emergence of dynamic memory traces in cortical microcircuit models through STDP. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]
Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]
Krunglevicius D. (2015). Competitive STDP Learning of Overlapping Spatial Patterns. Neural computation. 27 [PubMed]
König P, Engel AK, Singer W. (1996). Integrator or coincidence detector? The role of the cortical neuron revisited. Trends in neurosciences. 19 [PubMed]
LeCun Y, Bengio Y, Hinton G. (2015). Deep learning. Nature. 521 [PubMed]
Masquelier T. (2013). Neural variability, or lack thereof. Frontiers in computational neuroscience. 7 [PubMed]
Masquelier T. (2018). STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons. Neuroscience. 389 [PubMed]
Masquelier T, Guyonneau R, Thorpe SJ. (2008). Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PloS one. 3 [PubMed]
Masquelier T, Guyonneau R, Thorpe SJ. (2009). Competitive STDP-based spike pattern learning. Neural computation. 21 [PubMed]
Masquelier T, Thorpe SJ. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS computational biology. 3 [PubMed]
Mensi S, Hagens O, Gerstner W, Pozzorini C. (2016). Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons. PLoS computational biology. 12 [PubMed]
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.
Nenci GG, Casamassima F. (1967). [Blood coagulation changes after the use of I-131 in diagnostic and therapeutic doses. I. Diagnostic dose (3-40 microcuries)]. Rivista di patologia clinica e sperimentale. 8 [PubMed]
Nessler B, Pfeiffer M, Buesing L, Maass W. (2013). Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. PLoS computational biology. 9 [PubMed]
Nguyen A, Dosovitskiy A, Yosinski J, Brox T, Clune J. (2016). Synthesizing the preferred inputs for neurons in neural networks via deep generator networks Advances in Neural Information Processing Systems.
O'Reilly RC. (1998). Six principles for biologically based computational models of cortical cognition. Trends in cognitive sciences. 2 [PubMed]
Olah C, Mordvintsev A, Schubert L. (2017). Feature visualization Distill..
Palm G. (2013). Neural associative memories and sparse coding. Neural networks : the official journal of the International Neural Network Society. 37 [PubMed]
Panzeri S, Diamond ME. (2010). Information Carried by Population Spike Times in the Whisker Sensory Cortex can be Decoded Without Knowledge of Stimulus Time. Frontiers in synaptic neuroscience. 2 [PubMed]
Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]
Quian Quiroga R, Kreiman G. (2010). Measuring sparseness in the brain: comment on Bowers (2009). Psychological review. 117 [PubMed]
Quiroga RQ, Kreiman G, Koch C, Fried I. (2008). Sparse but not 'grandmother-cell' coding in the medial temporal lobe. Trends in cognitive sciences. 12 [PubMed]
Rolls ET, Treves A, Tovee MJ. (1997). The representational capacity of the distributed encoding of information provided by populations of neurons in primate temporal visual cortex. Experimental brain research. 114 [PubMed]
Rossant C, Leijon S, Magnusson AK, Brette R. (2011). Sensitivity of noisy neurons to coincident inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]
Shoham S, O'Connor DH, Segev R. (2006). How silent is the brain: is there a "dark matter" problem in neuroscience? Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology. 192 [PubMed]
Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 [PubMed]
Sun H, Sourina O, Huang GB. (2016). Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity. Neural computation. 28 [PubMed]
Thorpe SJ. (2009). Single units and sensation: still just as relevant today. Perception. 38 [PubMed]
Thorpe SJ. (2011). Grandmother cells and distributed representations Visual Population Codes-Toward a Common Multivariate Framework for Cell Recording and Functional Imaging.
Thorpe SJ, Masquelier T, Ganjtabesh M, Mozafari M, Nowzari-Dalini A. (2018). Combining STDP and reward-modulated STDP in deep convolutional spiking neural networks for digit recognition. arXiv[preprint] arXiv:1804.00227.
Wolfe J, Houweling AR, Brecht M. (2010). Sparse and powerful cortical spikes. Current opinion in neurobiology. 20 [PubMed]
Yger P, Stimberg M, Brette R. (2015). Fast Learning with Weak Synaptic Plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]
Zhou B, Lapedriza A, Khosla A, Oliva A, Torralba A. (2018). Places: A 10 Million Image Database for Scene Recognition. IEEE transactions on pattern analysis and machine intelligence. 40 [PubMed]
van Rossum MC, Bi GQ, Turrigiano GG. (2000). Stable Hebbian learning from spike timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]