解剖学和形态学
麻醉学
听力与言语-语言病理学
行为科学
心脏和心血管系统
细胞和组织工程学
临床神经病学
危重症监护医学
牙科,口腔外科和医学
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急诊医学
内分泌学和新陈代谢
肠胃学和肝脏学
老人病学和老年医学
卫生保健科学和服务
血液学
免疫学
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综合和补充性医学
医学伦理学
医学信息学
医学实验室技术
医学,全科和内科
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神经系统科学
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营养学和饮食学
产科医学和妇科医学
肿瘤学
眼科学
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儿科学
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生理学
基本医疗保健
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放射学,核医学和医学成像
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心理学,临床
abstract::The bias/variance decomposition of mean-squared error is well understood and relatively straightforward. In this note, a similar simple decomposition is derived, valid for any kind of error measure that, when using the appropriate probability model, can be derived from a Kullback-Leibler divergence or log-likelihood. ...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/089976698300017232
更新日期:1998-07-28 00:00:00
abstract::Numerous animal behaviors, such as locomotion in vertebrates, are produced by rhythmic contractions that alternate between two muscle groups. The neuronal networks generating such alternate rhythmic activity are generally thought to rely on pacemaker cells or well-designed circuits consisting of inhibitory and excitat...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/089976698300017449
更新日期:1998-07-01 00:00:00
abstract::Changes in GABA modulation may underlie experimentally observed changes in the strength of synaptic transmission at different phases of the theta rhythm (Wyble, Linster, & Hasselmo, 1997). Analysis demonstrates that these changes improve sequence disambiguation by a neural network model of CA3. We show that in the fra...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/089976698300017539
更新日期:1998-05-15 00:00:00
abstract::Although the commonly used quadratic Hebbian-anti-Hebbian rules lead to successful models of plasticity and learning, they are inconsistent with neurophysiology. Other rules, more physiologically plausible, fail to specify the biological mechanism of bidirectionality and the biological mechanism that prevents synapses...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/089976698300017629
更新日期:1998-04-01 00:00:00
abstract::We derive solutions for the problem of missing and noisy data in nonlinear time&hyphenseries prediction from a probabilistic point of view. We discuss different approximations to the solutions &hyphen in particular, approximations that require either stochastic simulation or the substitution of a single estimate for t...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/089976698300017728
更新日期:1998-03-23 00:00:00
abstract::Synaptic runaway denotes the formation of erroneous synapses and premature functional decline accompanying activity-dependent learning in neural networks. This work studies synaptic runaway both analytically and numerically in binary-firing associative memory networks. It turns out that synaptic runaway is of fairly m...
journal_title:Neural computation
pub_type: 杂志文章,评审
doi:10.1162/089976698300017836
更新日期:1998-02-15 00:00:00
abstract::To understand the interspike interval (ISI) variability displayed by visual cortical neurons (Softky & Koch, 1993), it is critical to examine the dynamics of their neuronal integration, as well as the variability in their synaptic input current. Most previous models have focused on the latter factor. We match a simple...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1997.9.5.971
更新日期:1997-07-01 00:00:00
abstract::A representational scheme under which the ranking between represented similarities is isomorphic to the ranking between the corresponding shape similarities can support perfectly correct shape classification because it preserves the clustering of shapes according to the natural kinds prevailing in the external world. ...
journal_title:Neural computation
pub_type: 杂志文章,评审
doi:10.1162/neco.1997.9.4.701
更新日期:1997-05-15 00:00:00
abstract::A conductance-based model of Na+ and K+ currents underlying action potential generation is introduced by simplifying the quantitative model of Hodgkin and Huxley (HH). If the time course of rate constants can be approximated by a pulse, HH equations can be solved analytically. Pulse-based (PB) models generate action p...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1997.9.3.503
更新日期:1997-04-01 00:00:00
abstract::Disparity tuning of visual cells in the brain depends on the structure of their binocular receptive fields (RFs). Freeman and coworkers have found that binocular RFs of a typical simple cell can be quantitatively described by two Gabor functions with the same gaussian envelope but different phase parameters in the sin...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1996.8.8.1611
更新日期:1996-11-15 00:00:00
abstract::Recurrent neural networks (RNNs) can learn to perform finite state computations. It is shown that an RNN performing a finite state computation must organize its state space to mimic the states in the minimal deterministic finite state machine that can perform that computation, and a precise description of the attracto...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1996.8.6.1135
更新日期:1996-08-15 00:00:00
abstract::Recent experiments indicate that the calcium store (e.g., endoplasmic reticulum) is involved in electrical bursting and [Ca2+]i oscillation in bursting neuronal cells. In this paper, we formulate a mathematical model for bursting neurons, which includes Ca2+ in the intracellular Ca2+ stores and a voltage-independent c...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1996.8.5.951
更新日期:1996-07-01 00:00:00
abstract::How do multiple feature maps that coexist in the same region of cerebral cortex align with each other? We hypothesize that such alignment is governed by temporal correlations: features in one map that are temporally correlated with those in another come to occupy the same spatial locations in cortex over time. To exam...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1996.8.4.731
更新日期:1996-05-15 00:00:00
abstract::In a recent paper, Poggio and Girosi (1990) proposed a class of neural networks obtained from the theory of regularization. Regularized networks are capable of approximating arbitrarily well any continuous function on a compactum. In this paper we consider in detail the learning problem for the one-dimensional case. W...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1995.7.6.1225
更新日期:1995-11-01 00:00:00
abstract::This article reviews statistical techniques for combining multiple probability distributions. The framework is that of a decision maker who consults several experts regarding some events. The experts express their opinions in the form of probability distributions. The decision maker must aggregate the experts' distrib...
journal_title:Neural computation
pub_type: 杂志文章,评审
doi:10.1162/neco.1995.7.5.867
更新日期:1995-09-01 00:00:00
abstract::Recent work suggests that synchronization of neuronal activity could serve to define functionally relevant relationships between spatially distributed cortical neurons. At present, it is not known to what extent this hypothesis is compatible with the widely supported notion of coarse coding, which assumes that feature...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1995.7.3.469
更新日期:1995-05-01 00:00:00
abstract::Durbin and Willshaw's elastic net algorithm can find good solutions to the TSP. The purpose of this paper is to point out that for certain ranges of parameter values, the algorithm converges into local minima that do not correspond to valid tours. The key parameter is the ratio governing the relative strengths of the ...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.3.363
更新日期:1991-10-01 00:00:00
abstract::We consider the problem of training a linear feedforward neural network by using a gradient descent-like LMS learning algorithm. The objective is to find a weight matrix for the network, by repeatedly presenting to it a finite set of examples, so that the sum of the squares of the errors is minimized. Kohonen showed t...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.2.226
更新日期:1991-07-01 00:00:00
abstract::We have created a network that allocates a new computational unit whenever an unusual pattern is presented to the network. This network forms compact representations, yet learns easily and rapidly. The network can be used at any time in the learning process and the learning patterns do not have to be repeated. The uni...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.2.213
更新日期:1991-07-01 00:00:00
abstract::A modular, recurrent connectionist network is taught to incrementally parse complex sentences. From input presented one word at a time, the network learns to do semantic role assignment, noun phrase attachment, and clause structure recognition, for sentences with both active and passive constructions and center-embedd...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.1.110
更新日期:1991-04-01 00:00:00
abstract::The pyloric network of the stomatogastric ganglion in crustacea is a central pattern generator that can produce the same basic rhythm over a wide frequency range. Three electrically coupled neurons, the anterior burster (AB) neuron and two pyloric dilator (PD) neurons, act as a pacemaker unit for the pyloric network. ...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.4.487
更新日期:1991-01-01 00:00:00
abstract::Previous work on analog VLSI implementation of multilayer perceptrons with on-chip learning has mainly targeted the implementation of algorithms like backpropagation. Although backpropagation is efficient, its implementation in analog VLSI requires excessive computational hardware. In this paper we show that, for anal...
journal_title:Neural computation
pub_type: 杂志文章
doi:10.1162/neco.1991.3.4.546
更新日期:1991-01-01 00:00:00