IJON 2006 - PDF Preprint Papers

IJON 2006

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IJON
2006

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Storing and restoring visual input with collaborative rank coding and associative memory

13 years 4 months ago

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Associative memory in cortical circuits has been held as a major mechanism for content-addressable memory. Hebbian synapses implement associative memory efficiently when storing s...

Martin Rehn, Friedrich T. Sommer

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Id	Views	Title	Status

1	189	Storing and restoring visual input with collaborative rank coding and associative memory	claim
2	180	Nonnegative independent component analysis based on minimizing mutual information technique	claim
3	169	Denoising using local projective subspace methods	claim
4	165	Design and basic blocks of a neuromorphic VLSI analogue vision system	claim
5	161	Evolving hybrid ensembles of learning machines for better generalisation	claim
6	160	Attractor dynamics in a modular network model of the cerebral cortex	claim
7	148	Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis	claim
8	146	Feature selection and classification using flexible neural tree	claim
9	138	Time-series prediction using a local linear wavelet neural network	claim
10	134	A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems	claim
11	132	A binary neural decision table classifier	claim
12	131	Optimizing blind source separation with guided genetic algorithms	claim
13	129	Computational and neural mechanisms of task switching	claim
14	127	Sparse ICA via cluster-wise PCA	claim
15	127	Evolved neural networks based on cellular automata for sensory-motor controller	claim
16	123	Attractor neural networks with patchy connectivity	claim
17	123	A novel approach to model neuronal signal transduction using stochastic differential equations	claim
18	119	Support vector machine for functional data classification	claim
19	117	EEG classification using generative independent component analysis	claim
20	114	Altered sensory filtering and coding properties by synaptic dynamics in the electric sense	claim
21	112	Comparison of automated parameter estimation methods for neuronal signaling networks	claim
22	112	Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network	claim
23	111	Applications of multi-objective structure optimization	claim
24	111	Dynamic pruning algorithm for multilayer perceptron based neural control systems	claim
25	109	Associative memory of connectivity patterns	claim
26	109	Integrating the improved CBP model with kernel SOM	claim
27	104	Kernel methods and the exponential family	claim
28	103	Kernel extrapolation	claim
29	103	Evolutionary system for automatically constructing and adapting radial basis function networks	claim
30	100	Analyzing the robustness of redundant population codes in sensory and feature extraction systems	claim
31	99	Learning vector quantization: The dynamics of winner-takes-all algorithms	claim
32	99	Feature selection in independent component subspace for microarray data classification	claim
33	97	Bifurcations in Morris-Lecar neuron model	claim
34	96	Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)	claim
35	95	Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis	claim
36	95	Ensemble classifiers based on correlation analysis for DNA microarray classification	claim
37	93	Eye movement predictions on natural videos	claim
38	91	Symmetry axis extraction by a neural network	claim
39	91	Event-based simulation strategy for conductance-based synaptic interactions and plasticity	claim
40	90	Adaptive sensory processing for efficient place coding	claim
41	90	Reinforcement learning of a simple control task using the spike response model	claim
42	89	Flexible kernels for RBF networks	claim
43	88	Image binarization focusing on objects	claim
44	87	Translation-invariant classification of non-stationary signals	claim
45	87	Collective plasticity and individual stability in cultured neuronal networks	claim
46	85	From outliers to prototypes: Ordering data	claim
47	84	Cycle-to-cycle variability as an optimal behavioral strategy	claim
48	84	Dynamic regulation of spike-timing dependent plasticity in electrosensory processing	claim
49	83	Modelling the interaction of attention and emotion	claim
50	83	Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting	claim
51	82	Ratio rule and homomorphic filter for enhancement of digital colour image	claim
52	82	Modeling single neuron behavior using stochastic differential equations	claim
53	82	Learning under weight constraints in networks of temporal encoding spiking neurons	claim
54	79	Fast computation with neural oscillators	claim
55	78	Improving self-organization of document collections by semantic mapping	claim
56	78	Inhibitory control of spike timing precision	claim
57	77	Robust extraction of specific signals with temporal structure	claim
58	77	Synchronization effects using a piecewise linear map-based spiking-bursting neuron model	claim
59	76	Evolving networks of integrate-and-fire neurons	claim
60	76	Joint maps for orientation, eye, and direction preference in a self-organizing model of V1	claim
61	75	Margin-based wrapper methods for gene identification using microarray	claim
62	74	Spatio-temporal information coding in the cuneate nucleus	claim
63	74	Real-time simulations of networks of Hodgkin-Huxley neurons using analog circuits	claim
64	73	Optimal selection of time lags for TDSEP based on genetic algorithm	claim
65	73	Selective attention implemented with dynamic synapses and integrate-and-fire neurons	claim
66	72	Extraction of a source signal whose kurtosis value lies in a specific range	claim
67	72	Neurodynamical approach to the picture-word interference effect	claim
68	71	A segmentation algorithm for zebra finch song at the note level	claim
69	71	A neurocomputational model of stochastic resonance and aging	claim
70	71	Maximization of statistical moments for blind separation of sources revisited	claim
71	70	A self-organizing map with homeostatic synaptic scaling	claim
72	68	Dendritic cable with active spines: A modelling study in the spike-diffuse-spike framework	claim
73	67	Robust persistent activity in neural fields with asymmetric connectivity	claim
74	66	The interaction between facilitation and depression of two release mechanisms in a single synapse	claim
75	65	On-line estimation of the final prediction error via recursive least-squares method	claim
76	64	Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction	claim
77	63	Smoothing and thresholding in neuronal spike detection	claim
78	63	Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations	claim
79	62	Dependence of the spike-triggered average voltage on membrane response properties	claim
80	62	A novel mixture of experts model based on cooperative coevolution	claim
81	61	Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils	claim
82	60	Spatiotemporal clustering of synchronized bursting events in neuronal networks	claim
83	57	Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1	claim
84	56	A computational model of anterior intraparietal (AIP) neurons	claim
85	54	Self-organization of hierarchical visual maps with feedback connections	claim
86	53	Sub-intrapersonal space analysis for face recognition	claim
87	52	Speed estimation with propagation maps	claim
88	52	A statistical basis for visual field anisotropies	claim
89	51	Mixed-signal neuron-synapse implementation for large-scale neural network	claim
90	51	Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves	claim
91	50	Brain mechanisms for interleaving routine and creative action	claim
92	49	Temporal processing in the exponential integrate-and-fire model is nonlinear	claim
93	48	An LVQ-based adaptive algorithm for learning from very small codebooks	claim
94	43	A two-dimensional population density approach to modeling the dLGN/PGN network	claim
95	41	Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines	claim
96	40	A new biclustering technique based on crossing minimization	claim

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