標題: Titlebook: Connectionist Models of Learning, Development and Evolution; Proceedings of the S Robert M. French,Jacques P. Sougné Conference proceedings [打印本頁] 作者: CRUST 時間: 2025-3-21 17:43
書目名稱Connectionist Models of Learning, Development and Evolution影響因子(影響力)
書目名稱Connectionist Models of Learning, Development and Evolution影響因子(影響力)學科排名
書目名稱Connectionist Models of Learning, Development and Evolution網絡公開度
書目名稱Connectionist Models of Learning, Development and Evolution網絡公開度學科排名
書目名稱Connectionist Models of Learning, Development and Evolution被引頻次
書目名稱Connectionist Models of Learning, Development and Evolution被引頻次學科排名
書目名稱Connectionist Models of Learning, Development and Evolution年度引用
書目名稱Connectionist Models of Learning, Development and Evolution年度引用學科排名
書目名稱Connectionist Models of Learning, Development and Evolution讀者反饋
書目名稱Connectionist Models of Learning, Development and Evolution讀者反饋學科排名
作者: 孤獨無助 時間: 2025-3-21 23:55 作者: 史前 時間: 2025-3-22 01:39 作者: 極大痛苦 時間: 2025-3-22 05:07
https://doi.org/10.1007/3-540-28500-8f deficits: (a) damage to the LH less often results in visuospatial neglect, or results in smaller, more variable displacements in line-bisection; (b) when damage to the LH results in neglect, recovery is generally quicker; and (c) damage to the LH often results in neglect dyslexia without more gene作者: locus-ceruleus 時間: 2025-3-22 11:27
Vittorio Gremigni,Alessandra Fallenid temporal correlations in one pass. As an example, we apply our technique to a fMRI-study conceming “Depth-from-Motion Processing in Humans” and compare our results with those obtained with the popular SPM technique.作者: 對手 時間: 2025-3-22 15:00 作者: 對手 時間: 2025-3-22 18:10 作者: 吸氣 時間: 2025-3-23 00:48 作者: 帶子 時間: 2025-3-23 03:04 作者: 構想 時間: 2025-3-23 06:47 作者: elucidate 時間: 2025-3-23 12:44 作者: 畫布 時間: 2025-3-23 16:10
A Learning Algorithm for Synfire Chainsd synfire chains develop? What learning procedure could generate such precise temporal chains? How could a connectionist network of spiking neurons leam synfrre chains? An algorithm for a network of spiking neurons that learns synfire chains will be presented.作者: ALERT 時間: 2025-3-23 21:46
A Biologically Plausible Maturation of an ART Networkpresentations. Presently, we extend Exact ART by adding biologically plausible evolution equations for activation dependent maturation of lateral connections in a SNN [14]. The resulting model is an epigenetic model of both morphological development and cognitive behavioral development.作者: Ingredient 時間: 2025-3-24 01:05
Coordinating Multiple Sensory Modalities While Learning to Reachefficient reaching strategy, and (3) accelerates the remapping of vision and proprioception after perturbation of the multimodal map. Follow-up analyses of the model provide additional support for our hypothesis, and suggest that touch helps to coordinate vision and proprioception by providing a third, correlated information channel.作者: 誘拐 時間: 2025-3-24 05:46 作者: Facet-Joints 時間: 2025-3-24 09:19
Visual Crowding and Category-Specific Deficits: a Neural Network Modelies, unlike clothing and furniture. These results are in keeping with those from other experimental approaches. Thus, it would appear that the simple interplay between a SOM and 2D images provides a valuable model of one route in visual object recognition.作者: 金盤是高原 時間: 2025-3-24 11:40
Pseudopatterns and dual-network memory models: Advantages and shortcomingsd retrograde amnesia. We discuss a surprising result about how this class of models handles episodic (“snap-shot”) memory — namely, that they seem to be able to handle both episodic and abstract memory — and discuss two other promising areas of research involving these models.作者: Diastole 時間: 2025-3-24 15:05
A Simple Model Exhibiting Scalar Timinged and shown to give rise to the scalar property. The model is an accumulator consisting of noisy, linear spiking neurons. It is analytically tractable and contains only three parameters. When coupled with simple reinforcement learning it simulates peak procedure experiments and temporal bisection.作者: 媽媽不開心 時間: 2025-3-24 19:27
A Revival of Turing’s Forgotten Connectionist Ideas: Exploring Unorganized Machinesas. Turing’s unorganized machines are analyzed and new types of machines are proposed by the authors. An example of a pattern classification task is presented using a Turing net and genetic algorithms for building and training the networks.作者: 變量 時間: 2025-3-25 02:03
https://doi.org/10.1007/978-1-4020-6391-6ies, unlike clothing and furniture. These results are in keeping with those from other experimental approaches. Thus, it would appear that the simple interplay between a SOM and 2D images provides a valuable model of one route in visual object recognition.作者: 消極詞匯 時間: 2025-3-25 05:11 作者: heckle 時間: 2025-3-25 09:54
https://doi.org/10.1007/BFb0019704luate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules’ computations. Our aim is to show the properties of the system proposed under the influence of this particular module.作者: Oafishness 時間: 2025-3-25 13:23
Performance of BTCs and their Applications,aussian distributions. It can be shown that upon minimization of mutual information between processing channels, noise can reveal itself locally. Therefore, we conjecture that novelty - as opposed to noise - can be recognized by means of the statistics of neuronal firing in brain areas.作者: 發(fā)酵 時間: 2025-3-25 16:33
Performance of BTCs and their Applications,h greater diversity of learning (and behaviour) may be achieved, and suggest that, in order to acquire a broad range of environment/action associations, mechanisms for boredom avoidance or novelty seeking are required.作者: mediocrity 時間: 2025-3-25 22:24 作者: Filibuster 時間: 2025-3-26 00:15
Modularity and Specialized Learning in the Organization of Behaviourrently poses serious technical challenges to the field of ANN. We propose that in the mean time, psychologists may want to consider modelling learning in specialised hybrid systems which can support both complex behaviour and neural learning.作者: 掙扎 時間: 2025-3-26 05:58
Modeling Modulatory Aspects in Association Processesluate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules’ computations. Our aim is to show the properties of the system proposed under the influence of this particular module.作者: hangdog 時間: 2025-3-26 09:45
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networksaussian distributions. It can be shown that upon minimization of mutual information between processing channels, noise can reveal itself locally. Therefore, we conjecture that novelty - as opposed to noise - can be recognized by means of the statistics of neuronal firing in brain areas.作者: auxiliary 時間: 2025-3-26 14:20
Learning Action Affordances and Action Schemash greater diversity of learning (and behaviour) may be achieved, and suggest that, in order to acquire a broad range of environment/action associations, mechanisms for boredom avoidance or novelty seeking are required.作者: impaction 時間: 2025-3-26 17:37 作者: CALL 時間: 2025-3-26 22:50
https://doi.org/10.1007/3-540-28500-8d retrograde amnesia. We discuss a surprising result about how this class of models handles episodic (“snap-shot”) memory — namely, that they seem to be able to handle both episodic and abstract memory — and discuss two other promising areas of research involving these models.作者: SIT 時間: 2025-3-27 04:23 作者: 聯(lián)想記憶 時間: 2025-3-27 05:47
High Speed Turbo-like Decoders,as. Turing’s unorganized machines are analyzed and new types of machines are proposed by the authors. An example of a pattern classification task is presented using a Turing net and genetic algorithms for building and training the networks.作者: 你不公正 時間: 2025-3-27 13:02 作者: Blemish 時間: 2025-3-27 15:30 作者: 交響樂 時間: 2025-3-27 19:07 作者: MULTI 時間: 2025-3-27 23:34
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processinal blood flow. They are usually based on univariate statistical techniques [3], however, since cognitive functions result from interactions, a number of new concepts and multivariate tools have recently been developed [5, 7, 12]. A different approach is to perform Input Variable Selection (IVS), a t作者: exigent 時間: 2025-3-28 04:38
A Simple Model Exhibiting Scalar Timing when the data is scaled by the time interval. This is called the scalar property of interval timing. Here a simple model of a neural clock is presented and shown to give rise to the scalar property. The model is an accumulator consisting of noisy, linear spiking neurons. It is analytically tractabl作者: ECG769 時間: 2025-3-28 07:37
Modularity and Specialized Learning in the Organization of Behaviourion and learning. However, the types and levels of psychological modelling possible in artificial neural systems is limited by the current state of the technology. This chapter discusses modularity as illuminated from research in ., such as autonomous robots or virtual reality characters. We describ作者: 鳥籠 時間: 2025-3-28 11:39
Modeling Modulatory Aspects in Association Processes neurons may function as modulators in the activity of those systems [9]. It is also believed that association learning is very important in the control of motivational and emotional behaviours [8]. Furthermore, it has been suggested that neurons involved in homeostatic regulation mechanisms (evolut作者: minimal 時間: 2025-3-28 15:11
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks effective information transfer in the brain. Robust and fast information flow processing methods warranting efficient information transfer, e.g. grouping of inputs and information maximization principles need to be applied. For this reason, indepent component analyses on groups of patterns were con作者: 事情 時間: 2025-3-28 21:52 作者: 大看臺 時間: 2025-3-29 02:05
Developing Knowledge about Living Things: A Connectionist Investigationata shows differences in the rate at which children acquire subcategories of living things, differences in the timing of changes in knowledge organisation, and changes in the distribution of feature types children use to represent their knowledge. The connectionist model was developed to investigate作者: 出汗 時間: 2025-3-29 04:50
Paying Attention to Relevant Dimensions: A Localist Approach stimulus dimensions are irrelevant to the classification task in hand. A procedure is suggested by which a localist model can learn prototype representations that foeus on the relevant dimensions only. These permit good generalization which would be lacking in a simple exemplar-based model.作者: 豐富 時間: 2025-3-29 11:00 作者: 地名表 時間: 2025-3-29 13:40
Modelling Cognitive Development with Constructivist Neural Networksnomena. This point is empirically investigated with a constructivist neural network model of the acquisition of past tense/particip1e inflections. The model dynamically adapts its architecture to the leaming task by growing units and connections in a task-specific way during learning. In contrast to作者: defendant 時間: 2025-3-29 19:36 作者: 實現(xiàn) 時間: 2025-3-29 22:44 作者: miscreant 時間: 2025-3-30 02:14 作者: obtuse 時間: 2025-3-30 04:15
Visual Crowding and Category-Specific Deficits: a Neural Network Modeltegories are distinct. In a series of experiments a Kohonen self organizing feature map was trained to recognise 2D digitised images. As a result, images of animals and musical instruments were represented within a shared set of processing units, which suggests that they are visually crowded categor作者: 不足的東西 時間: 2025-3-30 09:13
Connectionist Models of Learning, Development and Evolution978-1-4471-0281-6Series ISSN 1431-6854 作者: Orthodontics 時間: 2025-3-30 13:43 作者: 信徒 時間: 2025-3-30 17:29
Low Density Parity Check Codes, stimulus dimensions are irrelevant to the classification task in hand. A procedure is suggested by which a localist model can learn prototype representations that foeus on the relevant dimensions only. These permit good generalization which would be lacking in a simple exemplar-based model.作者: largesse 時間: 2025-3-30 21:42 作者: Cuisine 時間: 2025-3-31 03:44 作者: surmount 時間: 2025-3-31 05:45
Stability of the excavation faced, in particular, has observed the following level of precision: when a neuron A frres, neuron B would frre 151ms later and neuron C would fire precisely 289ms after that—with aprecision across trials of 1 ms! Such long delays require dozens of combined transmission delays from the presynaptic neuro作者: 前面 時間: 2025-3-31 10:27
Vittorio Gremigni,Alessandra Fallenial blood flow. They are usually based on univariate statistical techniques [3], however, since cognitive functions result from interactions, a number of new concepts and multivariate tools have recently been developed [5, 7, 12]. A different approach is to perform Input Variable Selection (IVS), a t作者: 單調性 時間: 2025-3-31 13:53
https://doi.org/10.1007/BFb0019704 when the data is scaled by the time interval. This is called the scalar property of interval timing. Here a simple model of a neural clock is presented and shown to give rise to the scalar property. The model is an accumulator consisting of noisy, linear spiking neurons. It is analytically tractabl作者: Melanoma 時間: 2025-3-31 20:39
https://doi.org/10.1007/BFb0019704ion and learning. However, the types and levels of psychological modelling possible in artificial neural systems is limited by the current state of the technology. This chapter discusses modularity as illuminated from research in ., such as autonomous robots or virtual reality characters. We describ作者: Minuet 時間: 2025-3-31 22:46 作者: entreat 時間: 2025-4-1 02:19 作者: Constituent 時間: 2025-4-1 08:41 作者: Veneer 時間: 2025-4-1 12:20 作者: 可行 時間: 2025-4-1 15:47