Spreizer S, Aertsen A, Kumar A. (2019). From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks. PLoS computational biology. 15 [PubMed]

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References and models cited by this paper

Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..

Ackman JB, Burbridge TJ, Crair MC. (2012). Retinal waves coordinate patterned activity throughout the developing visual system. Nature. 490 [PubMed]

Amari S. (1977). Dynamics of pattern formation in lateral-inhibition type neural fields. Biological cybernetics. 27 [PubMed]

Bakhurin KI et al. (2017). Differential Encoding of Time by Prefrontal and Striatal Network Dynamics. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Ben-Yishai R, Bar-Or RL, Sompolinsky H. (1995). Theory of orientation tuning in visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 92 [PubMed]

Bhalla US. (2019). Dendrites, deep learning, and sequences in the hippocampus. Hippocampus. 29 [PubMed]

Bressloff PC. (2011). Spatiotemporal dynamics of continuum neural fields J Phys A Math Theor. 45(3)

Brunel N. (2000). Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. Journal of computational neuroscience. 8 [PubMed]

Cheng S. (2013). The CRISP theory of hippocampal function in episodic memory. Frontiers in neural circuits. 7 [PubMed]

Clopath C, Büsing L, Vasilaki E, Gerstner W. (2010). Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature neuroscience. 13 [PubMed]

Coombes S. (2006). Neural fields Scholarpedia. 1

Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]

Diesmann M et al. (2018). Conditions for traveling waves in spiking neural networks arXiv preprint.

Dragoi G, Tonegawa S. (2011). Preplay of future place cell sequences by hippocampal cellular assemblies. Nature. 469 [PubMed]

Fiete IR, Senn W, Wang CZ, Hahnloser RH. (2010). Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron. 65 [PubMed]

Haga T, Fukai T. (2018). Recurrent network model for learning goal-directed sequences through reverse replay. eLife. 7 [PubMed]

Hahnloser RH, Kozhevnikov AA, Fee MS. (2002). An ultra-sparse code underlies the generation of neural sequences in a songbird. Nature. 419 [PubMed]

Harvey CD, Coen P, Tank DW. (2012). Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature. 484 [PubMed]

Hebb DO. (1949). The Organization Of Behavior.

Hutt A. (2008). Local excitation-lateral inhibition interaction yields oscillatory instabilities in nonlocally interacting systems involving finite propagation delay. Physics Letters A. 372(5)

Hutt A, Atay FM. (2005). Analysis of nonlocal neural fields for both general and gamma-distributed connectivities. Physica D: Nonlinear Phenomena. 203

Ikegaya Y et al. (2004). Synfire chains and cortical songs: temporal modules of cortical activity. Science (New York, N.Y.). 304 [PubMed]

Itskov V, Curto C, Pastalkova E, Buzsáki G. (2011). Cell assembly sequences arising from spike threshold adaptation keep track of time in the hippocampus. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Jiang X et al. (2015). Principles of connectivity among morphologically defined cell types in adult neocortex. Science (New York, N.Y.). 350 [PubMed]

Jin DZ, Fujii N, Graybiel AM. (2009). Neural representation of time in cortico-basal ganglia circuits. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]

Jordan J et al. (2017). NEST 2.14.0 .

Keane A, Gong P. (2015). Propagating waves can explain irregular neural dynamics. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Kilpatrick ZP, Faye G. (2018). Threshold of front propagation in neural fields: An interface dynamics approach arXiv preprint .

Kumar A, Rotter S, Aertsen A. (2008). Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Kumar A, Rotter S, Aertsen A. (2010). Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. Nature reviews. Neuroscience. 11 [PubMed]

Kunkel S, Diesmann M, Morrison A. (2011). Limits to the development of feed-forward structures in large recurrent neuronal networks. Frontiers in computational neuroscience. 4 [PubMed]

Laje R, Buonomano DV. (2013). Robust timing and motor patterns by taming chaos in recurrent neural networks. Nature neuroscience. 16 [PubMed]

Lashley KS. (1951). The problem of serial order in behavior Cerebral Mechanismsin Behavior (the Hixon Symposium).

Li Y et al. (2012). Clonally related visual cortical neurons show similar stimulus feature selectivity. Nature. 486 [PubMed]

Liu JK, Buonomano DV. (2009). Embedding multiple trajectories in simulated recurrent neural networks in a self-organizing manner. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Luczak A, Barthó P, Marguet SL, Buzsáki G, Harris KD. (2007). Sequential structure of neocortical spontaneous activity in vivo. Proceedings of the National Academy of Sciences of the United States of America. 104 [PubMed]

Masuda N, Kori H. (2007). Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity. Journal of computational neuroscience. 22 [PubMed]

Mehring C, Hehl U, Kubo M, Diesmann M, Aertsen A. (2003). Activity dynamics and propagation of synchronous spiking in locally connected random networks. Biological cybernetics. 88 [PubMed]

Minderer M, Brown KD, Harvey CD. (2019). The Spatial Structure of Neural Encoding in Mouse Posterior Cortex during Navigation. Neuron. 102 [PubMed]

Modi MN, Dhawale AK, Bhalla US. (2014). CA1 cell activity sequences emerge after reorganization of network correlation structure during associative learning. eLife. 3 [PubMed]

Mohan H et al. (2015). Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human Neocortex. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

Muller L, Chavane F, Reynolds J, Sejnowski TJ. (2018). Cortical travelling waves: mechanisms and computational principles. Nature reviews. Neuroscience. 19 [PubMed]

Murray JM, Escola GS. (2017). Learning multiple variable-speed sequences in striatum via cortical tutoring. eLife. 6 [PubMed]

Pastalkova E, Itskov V, Amarasingham A, Buzsáki G. (2008). Internally generated cell assembly sequences in the rat hippocampus. Science (New York, N.Y.). 321 [PubMed]

Patriarchi T et al. (2018). Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors. Science (New York, N.Y.). 360 [PubMed]

Perlin K. (1985). An image synthesizer ACM SIGGRAPH Computer Graphics. 19(3)

Pernice V, Staude B, Cardanobile S, Rotter S. (2011). How structure determines correlations in neuronal networks. PLoS computational biology. 7 [PubMed]

Peyrache A et al. (2012). Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep. Proceedings of the National Academy of Sciences of the United States of America. 109 [PubMed]

Pyle R, Rosenbaum R. (2017). Spatiotemporal Dynamics and Reliable Computations in Recurrent Spiking Neural Networks. Physical review letters. 118 [PubMed]

Rajan K, Abbott LF. (2006). Eigenvalue spectra of random matrices for neural networks. Physical review letters. 97 [PubMed]

Rajan K, Harvey CD, Tank DW. (2016). Recurrent Network Models of Sequence Generation and Memory. Neuron. 90 [PubMed]

Rinzel J, Terman D, Wang X, Ermentrout B. (1998). Propagating activity patterns in large-scale inhibitory neuronal networks. Science (New York, N.Y.). 279 [PubMed]

Roxin A, Brunel N, Hansel D. (2005). Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks. Physical review letters. 94 [PubMed]

Schnepel P, Kumar A, Zohar M, Aertsen A, Boucsein C. (2015). Physiology and Impact of Horizontal Connections in Rat Neocortex. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

Selverston AI, Rabinovich MI, Abarbanel HDI, Varona P. (2006). Dynamical principles in neuroscience Rev Mod Phys. 78

Spreizer S, Angelhuber M, Bahuguna J, Aertsen A, Kumar A. (2017). Activity Dynamics and Signal Representation in a Striatal Network Model with Distance-Dependent Connectivity. eNeuro. 4 [PubMed]

Theraulaz G, Gautrais J, Camazine S, Deneubourg JL. (2003). The formation of spatial patterns in social insects: from simple behaviours to complex structures. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 361 [PubMed]

Wickens JR, Kotter R, Alexander ME. (1995). Effects of local connectivity on striatal function: stimulation and analysis of a model. Synapse (New York, N.Y.). 20 [PubMed]

Xu X, Kriegel HP, Sander J, Ester M. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. 96(34)

York LC, van Rossum MC. (2009). Recurrent networks with short term synaptic depression. Journal of computational neuroscience. 27 [PubMed]

Zador AM. (2019). A critique of pure learning and what artificial neural networks can learn from animal brains. Nature communications. 10 [PubMed]

Zhang K. (1996). Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

Zhang X, Nadakuditi RR, Newman ME. (2014). Spectra of random graphs with community structure and arbitrary degrees. Physical review. E, Statistical, nonlinear, and soft matter physics. 89 [PubMed]

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Maes A, Barahona M, Clopath C. (2020). Learning spatiotemporal signals using a recurrent spiking network that discretizes time. PLoS computational biology. 16 [PubMed]

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