標題: Titlebook: Computational Models for Neuroscience; Human Cortical Infor Robert Hecht-Nielsen,Thomas McKenna Book 2003 Springer-Verlag London 2003 artif [打印本頁] 作者: 支票 時間: 2025-3-21 19:10
書目名稱Computational Models for Neuroscience影響因子(影響力)
書目名稱Computational Models for Neuroscience影響因子(影響力)學科排名
書目名稱Computational Models for Neuroscience網(wǎng)絡公開度
書目名稱Computational Models for Neuroscience網(wǎng)絡公開度學科排名
書目名稱Computational Models for Neuroscience被引頻次
書目名稱Computational Models for Neuroscience被引頻次學科排名
書目名稱Computational Models for Neuroscience年度引用
書目名稱Computational Models for Neuroscience年度引用學科排名
書目名稱Computational Models for Neuroscience讀者反饋
書目名稱Computational Models for Neuroscience讀者反饋學科排名
作者: 帶來墨水 時間: 2025-3-21 22:23
The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for e environment. This is a most remarkable skill, considering that behaviorally significant environmental regularities are not easy to discern: they are complex, operating among multi-level nonlinear combinations of environmental conditions, which are orders of complexity removed from raw sensory inpu作者: CRAMP 時間: 2025-3-22 02:03
A Theory of Thalamocortex, as a unary structure. The theory consists of four major elements: two novel associative memory neuronal network structures (. and .), a universal information processing operation (.), and an overall real-time brain control system (the .). One important . type of thalamocortical neural network is al作者: 廢止 時間: 2025-3-22 07:31 作者: 極大痛苦 時間: 2025-3-22 11:22
The Development of Cortical Models to Enable Neural-based Cognitive Architectures, to functional “black box” systems approaches, to large-scale neural circuit models. Currently, computational neuroscience is producing increasingly detailed neurobiologically based models of cortex and related structures. Many of these are intended as simulations of the biology, and are subject onl作者: 跑過 時間: 2025-3-22 15:20 作者: 跑過 時間: 2025-3-22 20:52
Towards Global Principles of Brain Processing,create specific control structures to achieve active responses to inputs and to develop memory systems for more effective responses to the environment. Consciousness and thinking are regarded as top-level processes created by suitable attentionally driven brain structures which are identified mainly作者: 表示向下 時間: 2025-3-23 00:26 作者: 過分 時間: 2025-3-23 03:40
Cortical Belief Networks,s value of an encoded quantity. We propose an alternative hypothesis, that neural populations represent, and effectively compute, probabilities. Under this hypothesis, population activities can contain additional information about such things as multiple values of, or uncertainty about, the quantity作者: 合唱隊 時間: 2025-3-23 08:48 作者: 記憶法 時間: 2025-3-23 12:10
The Development of Cortical Models to Enable Neural-based Cognitive Architectures,y to the constraint of predicting experimental observations in the neurobiological domain. A few of these models have some computational capability in the general domains of pattern recognition or control (Ambros-Ingerson et al., 1990; Carpenter and Grossberg, 1991; McKenna, 1994; Zornetzer et al., 1995).作者: placebo 時間: 2025-3-23 15:42
Towards Global Principles of Brain Processing, in posterior and anterior sites respectively. In particular a specific neural model, the CODAM model, is developed to explain consciousness. Experimental evidence for the principles and their neural adumbrations are briefly surveyed.作者: 使高興 時間: 2025-3-23 21:06
https://doi.org/10.1007/978-3-031-63937-1 of information propagation from one population to another. This novel framework for population codes opens up new avenues for studying a diverse set of problems, including cue combination, decision-making, and visual attention.作者: Type-1-Diabetes 時間: 2025-3-24 00:18 作者: 揭穿真相 時間: 2025-3-24 04:09 作者: 獎牌 時間: 2025-3-24 09:26
Sammy Tin,Mark Hardy,Akane Suzukiy to the constraint of predicting experimental observations in the neurobiological domain. A few of these models have some computational capability in the general domains of pattern recognition or control (Ambros-Ingerson et al., 1990; Carpenter and Grossberg, 1991; McKenna, 1994; Zornetzer et al., 1995).作者: 殺菌劑 時間: 2025-3-24 12:48 作者: 走路左晃右晃 時間: 2025-3-24 18:15 作者: 搬運工 時間: 2025-3-24 21:01 作者: 葡萄糖 時間: 2025-3-25 00:41 作者: 討好美人 時間: 2025-3-25 05:53 作者: Meager 時間: 2025-3-25 10:24 作者: institute 時間: 2025-3-25 13:06
https://doi.org/10.1007/978-3-030-51834-9er into larger networks, and so on. We argue that dynamically reconfigurable networks of neurons exist at multiple scales, and are fundamental to the structural and functional integrity of the cortex..Experimental data supporting both the approach and the predictions of our neocortical model, termed作者: 相反放置 時間: 2025-3-25 18:58 作者: 燕麥 時間: 2025-3-25 22:17
Book 2003 self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg- ment all aspects of the world into distinct holistic objects and the massive reorganiza- t作者: 秘密會議 時間: 2025-3-26 03:45
to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg- ment all aspects of the world into distinct holistic objects and the massive reorganiza- t978-1-4471-1111-5978-1-4471-0085-0作者: 英寸 時間: 2025-3-26 07:34 作者: 節(jié)省 時間: 2025-3-26 09:44 作者: 中古 時間: 2025-3-26 15:00 作者: 揭穿真相 時間: 2025-3-26 19:17 作者: 尖 時間: 2025-3-26 22:27
The Behaving Human Neocortex as a Dynamic Network of Networks,er into larger networks, and so on. We argue that dynamically reconfigurable networks of neurons exist at multiple scales, and are fundamental to the structural and functional integrity of the cortex..Experimental data supporting both the approach and the predictions of our neocortical model, termed作者: 橫條 時間: 2025-3-27 02:24
The Neural Networks for Language in the Brain: Creating LAD,o be solved by using the simplest level of chunking; this arises naturally in the learning process, according to a set of simulations, provided the task of language learning is suitably hard. We conclude with an overview of future developments to allow a full LAD to be developed so as to begin to ap作者: 起來了 時間: 2025-3-27 05:26
https://doi.org/10.1007/978-1-4614-0833-8ctivity between neurons within cortical areas, between areas of the cerebral cortex, and between the cortex and the environment. This paradigm recognizes the closed architecture of the behaving organism with respect to motor/sensory integration within a dynamic environment where the majority of sens作者: 反應 時間: 2025-3-27 10:19
René Djindjian,Jean-Jacques Merlande environment. This is a most remarkable skill, considering that behaviorally significant environmental regularities are not easy to discern: they are complex, operating among multi-level nonlinear combinations of environmental conditions, which are orders of complexity removed from raw sensory inpu作者: gentle 時間: 2025-3-27 15:24 作者: 全神貫注于 時間: 2025-3-27 18:39 作者: epinephrine 時間: 2025-3-28 01:04 作者: AND 時間: 2025-3-28 05:54 作者: HUMP 時間: 2025-3-28 08:43 作者: ornithology 時間: 2025-3-28 11:15 作者: 向下 時間: 2025-3-28 16:15
https://doi.org/10.1007/978-3-031-63937-1s value of an encoded quantity. We propose an alternative hypothesis, that neural populations represent, and effectively compute, probabilities. Under this hypothesis, population activities can contain additional information about such things as multiple values of, or uncertainty about, the quantity作者: Ancestor 時間: 2025-3-28 20:59
https://doi.org/10.1007/978-1-4471-0085-0artificial intelligence; brain; cerebral cortex; computational intelligence; computational neuroscience; 作者: 熄滅 時間: 2025-3-29 01:35 作者: Fermentation 時間: 2025-3-29 06:23 作者: 注視 時間: 2025-3-29 10:02
