IJON 2000 - PDF Preprint Papers

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IJON
2000

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G-Prop: Global optimization of multilayer perceptrons using GAs

13 years 11 months ago

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A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...

Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...

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Id	Views	Title	Status

1	105	G-Prop: Global optimization of multilayer perceptrons using GAs	claim
2	104	Harmonic analysis of spiking neuronal pairs	claim
3	99	Visualizing the visual system	claim
4	90	Analysis of complex bursting in cortical pyramidal neuron models	claim
5	86	Gain modulation of recurrent networks	claim
6	85	Hebbian learning and temporary storage in the convergence-zone model of episodic memory	claim
7	82	Behavioral considerations suggest an average reward TD model of the dopamine system	claim
8	82	Auditory localization using direction-dependent spectral information	claim
9	81	Initialization by selection for wavelet network training	claim
10	80	Synthesis approach for bidirectional associative memories based on the perceptron training algorithm	claim
11	80	What do V1 neurons tell us about saccadic suppression?	claim
12	78	Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex	claim
13	76	Fast neural network simulations with population density methods	claim
14	73	A recurrent network model for the phase invariance of complex cell responses	claim
15	72	Delay adaptation in the nervous system	claim
16	71	Variable selection using neural-network models	claim
17	71	A case study on using neural networks to perform technical forecasting of forex	claim
18	70	Electrosensory response mechanisms in mormyrid electric fish	claim
19	69	PARALLEL NEUROSYS: A system for the simulation of very large networks of biologically accurate neurons on parallel computers	claim
20	68	Empirical transfer function determination by the use of multilayer perceptron	claim
21	66	Synaptic learning models of map separation in the hippocampus	claim
22	64	The ecology of gaze shifts	claim
23	64	Introduction of threshold self-adjustment improves the convergence in feature-detective neural nets	claim
24	62	Comparison of CaMKinase II activation in a dendritic spine computed with deterministic and stochastic models of the NMDA synaptic conductance	claim
25	62	A large-scale model of the cerebellar cortex using PGENESIS	claim
26	62	On cell assemblies in a cortical column	claim
27	61	Optimization with the Hopfield network based on correlated noises: Experimental approach	claim
28	61	Encoding multiple orientations in a recurrent network	claim
29	58	Neural network wind retrieval from ERS-1 scatterometer data	claim
30	55	Hippocampal place cells and the generation of a temporal code	claim
31	53	A combined computational and intracellular study of correlated synaptic bombardment in neocortical pyramidal neurons in vivo	claim
32	52	Hierarchical clustering of self-organizing maps for cloud classification	claim
33	50	Task dependence of human theta: The case for multiple cognitive functions	claim
34	50	Consequences of correlated synaptic bombardment on the responsiveness of neocortical pyramidal neurons	claim
35	49	Distributed, web-based microstructure database for brain tissue	claim
36	48	Rethinking central pattern generators: A general approach	claim
37	48	On the tracking of dynamic functional relations in monkey cerebral cortex	claim
38	47	Probing the retino-geniculate circuit in cat using circular spot stimuli	claim

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