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Titlebook: Neural Information Processing. Theory and Algorithms; 17th International C Kok Wai Wong,B. Sumudu U. Mendis,Abdesselam Bouzer Conference pr

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21#
發(fā)表于 2025-3-25 03:20:45 | 只看該作者
Robert G. H. Wilke,Gita Khalili Moghaddam,Socrates Dokos,Gregg Suaning,Nigel H. Lovellcritical role of soil in biogeochemical processes is tied to its properties and place—porous, structured, and spatially variable, it serves as a conduit, buffer, and transformer of water, solutes and gases. Yet what is complex, life-giving, and sacred to some, is ordinary, even ugly, to others. This
22#
發(fā)表于 2025-3-25 09:28:58 | 只看該作者
23#
發(fā)表于 2025-3-25 11:44:04 | 只看該作者
Bayesian Interpretation of Border-Ownership Signals in Early Visual Cortexle, we give a probabilistic explanation to one such property called border-ownership signals, by interpreting them as posterior joint probabilities of a low-level edge property and a high-level figure property. We show that such joint probabilities can be found in a hierarchical Bayesian network mim
24#
發(fā)表于 2025-3-25 18:37:12 | 只看該作者
A Computational Model That Enables Global Amodal Completion Based on V4 Neuronsn and perceive it as a whole, a process known as amodal completion. Although implementation of this completion process is an important issue, visual computation for completion, based on both the local continuity of contours and on global regularities, such as symmetry, has received little attention.
25#
發(fā)表于 2025-3-25 22:32:55 | 只看該作者
26#
發(fā)表于 2025-3-26 03:37:33 | 只看該作者
27#
發(fā)表于 2025-3-26 07:18:06 | 只看該作者
Computational Model of the Cerebral Cortex That Performs Sparse Coding Using a Bayesian Network and aps. In this paper, we add another model of the cerebral cortex, called sparse coding, into our model in a biologically plausible way. In the BESOM model, hyper-columns in the cerebral cortex are interpreted as random variables in a Bayesian network. We extend our model so that random variables can
28#
發(fā)表于 2025-3-26 12:10:25 | 只看該作者
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activityties. Prior studies have shown how complex activity can be sustained for some time in spiking neural network models, but network activity in these models resembled high firing rate seizure which would eventually fail, leading to indefinite quiescence. We present a spiking network model of cortex inn
29#
發(fā)表于 2025-3-26 16:07:36 | 只看該作者
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發(fā)表于 2025-3-26 19:04:02 | 只看該作者
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