243 related articles for article (PubMed ID: 22532791)
1. Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.
Memmesheimer RM; Timme M
PLoS Comput Biol; 2012; 8(4):e1002384. PubMed ID: 22532791
[TBL] [Abstract][Full Text] [Related]
2. Layered synchronous propagation of noise-induced chaotic spikes in linear arrays.
Qi GX; Huang HB; Wang HJ; Xie X; Yang P; Zhang YJ
Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Aug; 72(2 Pt 1):021916. PubMed ID: 16196613
[TBL] [Abstract][Full Text] [Related]
3. Exact computation of the maximum-entropy potential of spiking neural-network models.
Cofré R; Cessac B
Phys Rev E Stat Nonlin Soft Matter Phys; 2014 May; 89(5):052117. PubMed ID: 25353749
[TBL] [Abstract][Full Text] [Related]
4. Bistability induces episodic spike communication by inhibitory neurons in neuronal networks.
Kazantsev VB; Asatryan SY
Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Sep; 84(3 Pt 1):031913. PubMed ID: 22060409
[TBL] [Abstract][Full Text] [Related]
5. Learning in neural networks by reinforcement of irregular spiking.
Xie X; Seung HS
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Apr; 69(4 Pt 1):041909. PubMed ID: 15169045
[TBL] [Abstract][Full Text] [Related]
6. Speed of synchronization in complex networks of neural oscillators: analytic results based on Random Matrix Theory.
Timme M; Geisel T; Wolf F
Chaos; 2006 Mar; 16(1):015108. PubMed ID: 16599774
[TBL] [Abstract][Full Text] [Related]
7. Synchronizing weighted complex networks.
Chavez M; Hwang DU; Amann A; Boccaletti S
Chaos; 2006 Mar; 16(1):015106. PubMed ID: 16599772
[TBL] [Abstract][Full Text] [Related]
8. Synchronization in networks with random interactions: theory and applications.
Feng J; Jirsa VK; Ding M
Chaos; 2006 Mar; 16(1):015109. PubMed ID: 16599775
[TBL] [Abstract][Full Text] [Related]
9. Synchronization and propagation of bursts in networks of coupled map neurons.
Tanaka G; Ibarz B; Sanjuan MA; Aihara K
Chaos; 2006 Mar; 16(1):013113. PubMed ID: 16599744
[TBL] [Abstract][Full Text] [Related]
10. From artificial neural networks to spiking neuron populations and back again.
de Kamps M; van der Velde F
Neural Netw; 2001; 14(6-7):941-53. PubMed ID: 11665784
[TBL] [Abstract][Full Text] [Related]
11. Complex evolution of spike patterns during burst propagation through feed-forward networks.
Teramae JN; Fukai T
Biol Cybern; 2008 Aug; 99(2):105-14. PubMed ID: 18685860
[TBL] [Abstract][Full Text] [Related]
12. Gradient learning in spiking neural networks by dynamic perturbation of conductances.
Fiete IR; Seung HS
Phys Rev Lett; 2006 Jul; 97(4):048104. PubMed ID: 16907616
[TBL] [Abstract][Full Text] [Related]
13. Dynamically maintained spike timing sequences in networks of pulse-coupled oscillators with delays.
Gong P; van Leeuwen C
Phys Rev Lett; 2007 Jan; 98(4):048104. PubMed ID: 17358818
[TBL] [Abstract][Full Text] [Related]
14. Propagation of cortical synfire activity: survival probability in single trials and stability in the mean.
Gewaltig MO; Diesmann M; Aertsen A
Neural Netw; 2001; 14(6-7):657-73. PubMed ID: 11665761
[TBL] [Abstract][Full Text] [Related]
15. Neutral stability, rate propagation, and critical branching in feedforward networks.
Cayco-Gajic NA; Shea-Brown E
Neural Comput; 2013 Jul; 25(7):1768-806. PubMed ID: 23607560
[TBL] [Abstract][Full Text] [Related]
16. Effects of degree distribution in mutual synchronization of neural networks.
Wang SJ; Xu XJ; Wu ZX; Wang YH
Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041915. PubMed ID: 17155104
[TBL] [Abstract][Full Text] [Related]
17. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.
Augustin M; Ladenbauer J; Baumann F; Obermayer K
PLoS Comput Biol; 2017 Jun; 13(6):e1005545. PubMed ID: 28644841
[TBL] [Abstract][Full Text] [Related]
18. Pulse propagation in discrete excitatory networks of integrate-and-fire neurons.
Badel L; Tonnelier A
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Jul; 70(1 Pt 1):011906. PubMed ID: 15324087
[TBL] [Abstract][Full Text] [Related]
19. Spontaneous dynamics of asymmetric random recurrent spiking neural networks.
Soula H; Beslon G; Mazet O
Neural Comput; 2006 Jan; 18(1):60-79. PubMed ID: 16354381
[TBL] [Abstract][Full Text] [Related]
20. Learning Universal Computations with Spikes.
Thalmeier D; Uhlmann M; Kappen HJ; Memmesheimer RM
PLoS Comput Biol; 2016 Jun; 12(6):e1004895. PubMed ID: 27309381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
