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Computer Simulation (Latest Articles)
Latest indexed articles for 'Computer Simulation'
Articles 31 to 40 of 200:
An integral upper bound for neural network approximation.
29 Sep 2009 
Complexity of one-hidden-layer networks is studied using tools from nonlinear approximation and integration theory. For functions with suitable integral representations in the form of networks with infinitely many hidden units, upper bounds are ...
rec_pub_19635020-an-integral-upper-bound-neural-network-approximation.htm
A dynamic causal model of the coupling between pulse stimulation and neural activity.
29 Sep 2009 We present a dynamic causal model that can explain context-dependent changes in neural responses, in the rat barrel cortex, to an electrical whisker stimulation at different frequencies. Neural responses were measured in terms of local field ...
rec_pub_19635016-a-dynamic-causal-model-coupling-pulse-stimulation-neural-activity.htm
Experience-induced neural circuits that achieve high capacity.
29 Sep 2009 Over a lifetime, cortex performs a vast number of different cognitive actions, mostly dependent on experience. Previously it has not been known how such capabilities can be reconciled, even in principle, with the known resource constraints on ...
rec_pub_19635015-experience-induced-neural-circuits-achieve-high-capacity.htm
Stimulus-dependent correlations and population codes.
29 Sep 2009 The magnitude of correlations between stimulus-driven responses of pairs of neurons can itself be stimulus dependent. We examine how this dependence affects the information carried by neural populations about the stimuli that drive them. ...
rec_pub_19635014-stimulus-dependent-correlations-population-codes.htm
Correlation between eigenvalue spectra and dynamics of neural networks.
29 Sep 2009 This letter presents a study of the correlation between the eigenvalue spectra of synaptic matrices and the dynamical properties of asymmetric neural networks with associative memories. For this type of neural network, it was found that there are ...
rec_pub_19635013-correlation-eigenvalue-spectra-dynamics-neural-networks.htm
Distance learning in discriminative vector quantization.
29 Sep 2009 Discriminative vector quantization schemes such as learning vector quantization (LVQ) and extensions thereof offer efficient and intuitive classifiers based on the representation of classes by prototypes. The original methods, however, rely on the ...
rec_pub_19635012-distance-learning-discriminative-vector-quantization.htm
A neurocomputational model for cocaine addiction.
29 Sep 2009 Based on the dopamine hypotheses of cocaine addiction and the assumption of decrement of brain reward system sensitivity after long-term drug exposure, we propose a computational model for cocaine addiction. Utilizing average reward temporal ...
rec_pub_19635010-a-neurocomputational-model-cocaine-addiction.htm
Receptive field self-organization in a model of the fine structure in v1 cortical columns.
29 Sep 2009 We study a dynamical model of processing and learning in the visual cortex, which reflects the anatomy of V1 cortical columns and properties of their neuronal receptive fields. Based on recent results on the fine-scale structure of columns in V1, we ...
rec_pub_19548804-receptive-field-self-organization-model-fine-structure-v1-cortical.htm
29 Sep 2009 Many decoding algorithms for brain machine interfaces' (BMIs) estimate hand movement from binned spike rates, which do not fully exploit the resolution contained in spike timing and may exclude rich neural dynamics from the modeling. More recently, ...
rec_pub_19548797-sequential-monte-carlo-point-process-estimation-kinematics-neural.htm
29 Sep 2009 Humic substances (HS) play an important role in the reactivity and transport of colloids in natural environments. In particular, the presence of fulvic acids (FA) in natural waters modifies the interactions between inorganic particles and ...
rec_pub_19848132-modeling-adsorption-coagulation-fulvic-acids-colloids-brownian.htm
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