Result 1 to 20 of 74 total
Complex dynamics and the structure of small neural networks. (English)
Netw., Comput. Neural Syst. 13, No.2, 195-216 (2002).
1
A Bayesian attractor network with incremental learning. (English)
Netw., Comput. Neural Syst. 13, No. 2, 179-194 (2002).
2
Information transfer in entrained cortical neurons. (English)
Netw., Comput. Neural Syst. 13, No.1, 41-66 (2002).
3
Neural coding and decoding: Communication channels and quantization. (English)
Netw., Comput. Neural Syst. 12, No.4, 441-472 (2001).
4
Can recent innovations in harmonic analysis “explain" key findings in natural image statistics? (English)
Netw., Comput. Neural Syst. 12, No.3, 371-393 (2001).
5
Global dynamics of a network of stochastic neurons maximizes local mutual information. (English)
Netw., Comput. Neural Syst. 12, No.1, 33-46 (2001).
6
Independent neurons representing a finite set of stimuli: Dependence of the mutual information on the number of units sampled. (English)
Netw., Comput. Neural Syst. 12, No.1, 21-31 (2001).
7
Steady states in an iterative model for multiplicative spike-timing-dependent plasticity. (English)
Netw., Comput. Neural Syst. 12, No.2, 131-140 (2001).
8
Randomly connected sigma-pi neurons can form associator networks. (English)
Netw., Comput. Neural Syst. 11, No. 4, 321-332 (2000).
9
Generalized and partial synchronization of coupled neural networks. (English)
Netw., Comput. Neural Syst. 11, No.1, 41-61 (2000).
10
Associative memory properties of multiple cortical modules. (English)
Netw., Comput. Neural Syst. 10, No.3, 237-255 (1999).
11
Catastrophic forgetting in simple networks: An analysis of the pseudorehearsal solution. (English)
Netw., Comput. Neural Syst. 10, No.3, 227-236 (1999).
12
Effective neural response function for collective population states. (English)
Netw., Comput. Neural Syst. 10, No.4, 351-373 (1999).
13
How to measure the information gained from one symbol. (English)
Netw., Comput. Neural Syst. 10, No.4, 325-340 (1999).
14
Entropy optimization by the PFANN network: Application to blind source separation. (English)
Netw., Comput. Neural Syst. 10, No.2, 171-186 (1999).
15
Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons. (English)
Netw., Comput. Neural Syst. 10, No.2, 111-121 (1999).
16
Model-independent mean-field theory as a local method for approximate propagation of information. (English)
Netw., Comput. Neural Syst. 10, No.1, 93-105 (1999).
17
Computational differences between asymmetrical and symmetrical networks. (English)
Netw., Comput. Neural Syst. 10, No.1, 59-77 (1999).
18
Sparsification from dilute connectivity in a neural network model of memory. (English)
Netw., Comput. Neural Syst. 10, No.1, 15-39 (1999).
19
Leap-frog is a robust algorithm for training neural networks. (English)
Netw., Comput. Neural Syst. 10, No.1, 1-13 (1999).
20
Result 1 to 20 of 74 total
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