These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
145 related articles for article (PubMed ID: 36930929)
1. Self-Consistent Stochastic Dynamics for Finite-Size Networks of Spiking Neurons. Vinci GV; Benzi R; Mattia M Phys Rev Lett; 2023 Mar; 130(9):097402. PubMed ID: 36930929 [TBL] [Abstract][Full Text] [Related]
2. A stochastic-field description of finite-size spiking neural networks. Dumont G; Payeur A; Longtin A PLoS Comput Biol; 2017 Aug; 13(8):e1005691. PubMed ID: 28787447 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Population dynamics of interacting spiking neurons. Mattia M; Del Giudice P Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Nov; 66(5 Pt 1):051917. PubMed ID: 12513533 [TBL] [Abstract][Full Text] [Related]
5. Stochastic dynamics of a finite-size spiking neural network. Soula H; Chow CC Neural Comput; 2007 Dec; 19(12):3262-92. PubMed ID: 17970653 [TBL] [Abstract][Full Text] [Related]
6. Synchronization of an excitatory integrate-and-fire neural network. Dumont G; Henry J Bull Math Biol; 2013 Apr; 75(4):629-48. PubMed ID: 23435645 [TBL] [Abstract][Full Text] [Related]
7. A complex-valued firing-rate model that approximates the dynamics of spiking networks. Schaffer ES; Ostojic S; Abbott LF PLoS Comput Biol; 2013 Oct; 9(10):e1003301. PubMed ID: 24204236 [TBL] [Abstract][Full Text] [Related]
8. Fast inference of interactions in assemblies of stochastic integrate-and-fire neurons from spike recordings. Monasson R; Cocco S J Comput Neurosci; 2011 Oct; 31(2):199-227. PubMed ID: 21222149 [TBL] [Abstract][Full Text] [Related]
9. Generalized rate-code model for neuron ensembles with finite populations. Hasegawa H Phys Rev E Stat Nonlin Soft Matter Phys; 2007 May; 75(5 Pt 1):051904. PubMed ID: 17677095 [TBL] [Abstract][Full Text] [Related]
10. Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity. Pietras B; Schmutz V; Schwalger T PLoS Comput Biol; 2022 Dec; 18(12):e1010809. PubMed ID: 36548392 [TBL] [Abstract][Full Text] [Related]
11. Stochastic synchronization in finite size spiking networks. Doiron B; Rinzel J; Reyes A Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Sep; 74(3 Pt 1):030903. PubMed ID: 17025585 [TBL] [Abstract][Full Text] [Related]
12. A Markovian event-based framework for stochastic spiking neural networks. Touboul JD; Faugeras OD J Comput Neurosci; 2011 Nov; 31(3):485-507. PubMed ID: 21499739 [TBL] [Abstract][Full Text] [Related]
13. Inverse stochastic resonance in networks of spiking neurons. Uzuntarla M; Barreto E; Torres JJ PLoS Comput Biol; 2017 Jul; 13(7):e1005646. PubMed ID: 28692643 [TBL] [Abstract][Full Text] [Related]
14. Relation between single neuron and population spiking statistics and effects on network activity. Câteau H; Reyes AD Phys Rev Lett; 2006 Feb; 96(5):058101. PubMed ID: 16486995 [TBL] [Abstract][Full Text] [Related]
15. Dynamic Behavior of Artificial Hodgkin-Huxley Neuron Model Subject to Additive Noise. Kang Q; Huang B; Zhou M IEEE Trans Cybern; 2016 Sep; 46(9):2083-93. PubMed ID: 26292356 [TBL] [Abstract][Full Text] [Related]
16. Pulse Shape and Voltage-Dependent Synchronization in Spiking Neuron Networks. Pietras B Neural Comput; 2024 Jul; 36(8):1476-1540. PubMed ID: 39028958 [TBL] [Abstract][Full Text] [Related]
17. Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method. Chizhov AV; Graham LJ Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Jan; 77(1 Pt 1):011910. PubMed ID: 18351879 [TBL] [Abstract][Full Text] [Related]
18. How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Brunel N; Hansel D Neural Comput; 2006 May; 18(5):1066-110. PubMed ID: 16595058 [TBL] [Abstract][Full Text] [Related]
19. Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. Schwalger T; Deger M; Gerstner W PLoS Comput Biol; 2017 Apr; 13(4):e1005507. PubMed ID: 28422957 [TBL] [Abstract][Full Text] [Related]
20. A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Burkitt AN Biol Cybern; 2006 Aug; 95(2):97-112. PubMed ID: 16821035 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]