414 related articles for article (PubMed ID: 17052156)
1. On the computational power of threshold circuits with sparse activity.
Uchizawa K; Douglas R; Maass W
Neural Comput; 2006 Dec; 18(12):2994-3008. PubMed ID: 17052156
[TBL] [Abstract][Full Text] [Related]
2. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Auer P; Burgsteiner H; Maass W
Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
[TBL] [Abstract][Full Text] [Related]
3. Experience-induced neural circuits that achieve high capacity.
Feldman V; Valiant LG
Neural Comput; 2009 Oct; 21(10):2715-54. PubMed ID: 19635015
[TBL] [Abstract][Full Text] [Related]
4. Edge of chaos and prediction of computational performance for neural circuit models.
Legenstein R; Maass W
Neural Netw; 2007 Apr; 20(3):323-34. PubMed ID: 17517489
[TBL] [Abstract][Full Text] [Related]
5. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
Renart A; Moreno-Bote R; Wang XJ; Parga N
Neural Comput; 2007 Jan; 19(1):1-46. PubMed ID: 17134316
[TBL] [Abstract][Full Text] [Related]
6. Plasticity in single neuron and circuit computations.
Destexhe A; Marder E
Nature; 2004 Oct; 431(7010):789-95. PubMed ID: 15483600
[TBL] [Abstract][Full Text] [Related]
7. Self-tuning of neural circuits through short-term synaptic plasticity.
Sussillo D; Toyoizumi T; Maass W
J Neurophysiol; 2007 Jun; 97(6):4079-95. PubMed ID: 17409166
[TBL] [Abstract][Full Text] [Related]
8. On the classification capability of sign-constrained perceptrons.
Legenstein R; Maass W
Neural Comput; 2008 Jan; 20(1):288-309. PubMed ID: 18045010
[TBL] [Abstract][Full Text] [Related]
9. Fading memory and kernel properties of generic cortical microcircuit models.
Maass W; Natschläger T; Markram H
J Physiol Paris; 2004; 98(4-6):315-30. PubMed ID: 16310350
[TBL] [Abstract][Full Text] [Related]
10. Neural circuit models for computations in early visual cortex.
Zhaoping L
Curr Opin Neurobiol; 2011 Oct; 21(5):808-15. PubMed ID: 21873046
[TBL] [Abstract][Full Text] [Related]
11. Neuronal computations with stochastic network states.
Destexhe A; Contreras D
Science; 2006 Oct; 314(5796):85-90. PubMed ID: 17023650
[TBL] [Abstract][Full Text] [Related]
12. Real-time computing without stable states: a new framework for neural computation based on perturbations.
Maass W; Natschläger T; Markram H
Neural Comput; 2002 Nov; 14(11):2531-60. PubMed ID: 12433288
[TBL] [Abstract][Full Text] [Related]
13. A metric for space.
Moser EI; Moser MB
Hippocampus; 2008; 18(12):1142-56. PubMed ID: 19021254
[TBL] [Abstract][Full Text] [Related]
14. Coemergence of regularity and complexity during neural network development.
Fuchs E; Ayali A; Robinson A; Hulata E; Ben-Jacob E
Dev Neurobiol; 2007 Nov; 67(13):1802-14. PubMed ID: 17701997
[TBL] [Abstract][Full Text] [Related]
15. Neuromorphic hardware databases for exploring structure-function relationships in the brain.
Breslin C; O'Lenskie A
Philos Trans R Soc Lond B Biol Sci; 2001 Aug; 356(1412):1249-58. PubMed ID: 11545701
[TBL] [Abstract][Full Text] [Related]
16. Cortical network modeling: analytical methods for firing rates and some properties of networks of LIF neurons.
Tuckwell HC
J Physiol Paris; 2006; 100(1-3):88-99. PubMed ID: 17064883
[TBL] [Abstract][Full Text] [Related]
17. Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity.
Loxley PN; Robinson PA
Biol Cybern; 2007 Aug; 97(2):113-22. PubMed ID: 17473929
[TBL] [Abstract][Full Text] [Related]
18. The high-conductance state of cortical networks.
Kumar A; Schrader S; Aertsen A; Rotter S
Neural Comput; 2008 Jan; 20(1):1-43. PubMed ID: 18044999
[TBL] [Abstract][Full Text] [Related]
19. A computational tool to simulate correlated activity in neural circuits.
Veredas FJ; Vico FJ; Alonso JM
J Neurosci Methods; 2004 Jun; 136(1):23-32. PubMed ID: 15126042
[TBL] [Abstract][Full Text] [Related]
20. A simple model for neural computation with firing rates and firing correlations.
Maass W
Network; 1998 Aug; 9(3):381-97. PubMed ID: 9861997
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
