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.
397 related articles for article (PubMed ID: 16764507)
1. When response variability increases neural network robustness to synaptic noise. Basalyga G; Salinas E Neural Comput; 2006 Jun; 18(6):1349-79. PubMed ID: 16764507 [TBL] [Abstract][Full Text] [Related]
2. Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity. Rubin R; Abbott LF; Sompolinsky H Proc Natl Acad Sci U S A; 2017 Oct; 114(44):E9366-E9375. PubMed ID: 29042519 [TBL] [Abstract][Full Text] [Related]
3. How optimal stimuli for sensory neurons are constrained by network architecture. DiMattina C; Zhang K Neural Comput; 2008 Mar; 20(3):668-708. PubMed ID: 18045019 [TBL] [Abstract][Full Text] [Related]
4. Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Pena RFO; Zaks MA; Roque AC J Comput Neurosci; 2018 Aug; 45(1):1-28. PubMed ID: 29923159 [TBL] [Abstract][Full Text] [Related]
5. Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. Kitano K; Fukai T J Comput Neurosci; 2007 Oct; 23(2):237-50. PubMed ID: 17415629 [TBL] [Abstract][Full Text] [Related]
6. Theory of correlation in a network with synaptic depression. Igarashi Y; Oizumi M; Okada M Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Jan; 85(1 Pt 2):016108. PubMed ID: 22400626 [TBL] [Abstract][Full Text] [Related]
7. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Jackson BS Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210 [TBL] [Abstract][Full Text] [Related]
8. Effects of correlated and independent noise on signal processing in neuronal systems. Liu F; Hu B; Wang W Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Mar; 63(3 Pt 1):031907. PubMed ID: 11308678 [TBL] [Abstract][Full Text] [Related]
9. Impact of noise structure and network topology on tracking speed of neural networks. Huang L; Cui Y; Zhang D; Wu S Neural Netw; 2011 Dec; 24(10):1110-9. PubMed ID: 21724371 [TBL] [Abstract][Full Text] [Related]
10. Dynamic afferent synapses to decision-making networks improve performance in tasks requiring stimulus associations and discriminations. Bourjaily MA; Miller P J Neurophysiol; 2012 Jul; 108(2):513-27. PubMed ID: 22457467 [TBL] [Abstract][Full Text] [Related]
11. Synaptic dynamics: linear model and adaptation algorithm. Yousefi A; Dibazar AA; Berger TW Neural Netw; 2014 Aug; 56():49-68. PubMed ID: 24867390 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Sparseness and expansion in sensory representations. Babadi B; Sompolinsky H Neuron; 2014 Sep; 83(5):1213-26. PubMed ID: 25155954 [TBL] [Abstract][Full Text] [Related]
14. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking. Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL Biol Cybern; 2009 Aug; 101(2):103-14. PubMed ID: 19536559 [TBL] [Abstract][Full Text] [Related]
15. Inferring network activity from synaptic noise. Rudolph M; Destexhe A J Physiol Paris; 2004; 98(4-6):452-66. PubMed ID: 16289550 [TBL] [Abstract][Full Text] [Related]
16. How to modify a neural network gradually without changing its input-output functionality. DiMattina C; Zhang K Neural Comput; 2010 Jan; 22(1):1-47. PubMed ID: 19842986 [TBL] [Abstract][Full Text] [Related]
17. Bridging rate coding and temporal spike coding by effect of noise. Masuda N; Aihara K Phys Rev Lett; 2002 Jun; 88(24):248101. PubMed ID: 12059333 [TBL] [Abstract][Full Text] [Related]
18. Experimental analysis and computational modeling of interburst intervals in spontaneous activity of cortical neuronal culture. Gritsun T; le Feber J; Stegenga J; Rutten WL Biol Cybern; 2011 Oct; 105(3-4):197-210. PubMed ID: 22030696 [TBL] [Abstract][Full Text] [Related]