Journals in DBLP

Neural Computation
2005, volume: 17, number: 9

1. Simon Haykin, Zhe Chen
   The Cocktail Party Problem. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1875-1902 [Journal]
   
2. Marc M. Van Hulle
   Edgeworth Approximation of Multivariate Differential Entropy. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1903-1910 [Journal]
   
3. Elko B. Tchernev, Rory G. Mulvaney, Dhananjay S. Phatak
   Perfect Fault Tolerance of the n-k-n Network. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1911-1920 [Journal]
   
4. Kaare Brandt Petersen, Ole Winther, Lars Kai Hansen
   On the Slow Convergence of EM and VBEM in Low-Noise Linear Models. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1921-1926 [Journal]
   
5. Murat Okatan, Matthew A. Wilson, Emery N. Brown
   Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1927-1961 [Journal]
   
6. G. Pola, R. S. Petersen, A. Thiele, Malcolm P. Young, Stefano Panzeri
   Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:1962-2005 [Journal]
   
7. Ilya Nemenman
   Fluctuation-Dissipation Theorem and Models of Learning. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:2006-2033 [Journal]
   
8. Kosuke Hamaguchi, Masato Okada, Michiko Yamana, Kazuyuki Aihara
   Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:2034-2059 [Journal]
   
9. Pierre A. Fortier, Emmanuel Guigon, Yves Burnod
   Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:9, pp:2060-2076 [Journal]
   
10. Tong Zhang
    Learning Bounds for Kernel Regression Using Effective Data Dimensionality. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:9, pp:2077-2098 [Journal]