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Environmental impacts on brain functions: Low dose effects of bisphenol A during perinatal critical period 环境对脑功能的影响:围产期关键时期双酚A的低剂量效应
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.002
T. Fujimoto , K. Kubo , S. Aou
{"title":"Environmental impacts on brain functions: Low dose effects of bisphenol A during perinatal critical period","authors":"T. Fujimoto ,&nbsp;K. Kubo ,&nbsp;S. Aou","doi":"10.1016/j.ics.2006.12.002","DOIUrl":"10.1016/j.ics.2006.12.002","url":null,"abstract":"<div><p><span>It is well known that the perinatal developing brain is vulnerable to environmental chemicals such as bisphenol A<span> (BPA). Recent studies have focused on the low dose effects of BPA on the central nervous system (CNS). Sexual dimorphism in the rat's brain and </span></span>behaviors<span>, such as locus coeruleus (LC) and open-field behaviors, were sensitively altered by BPA in a sex-dependent manner. This chemical also enhanced the depressive response. It suggests that the developing brain, including the noradrenergic LC cell, is highly sensitive to environmental chemicals, which induces diverse behavioral alterations.</span></p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 226-229"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"98166829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
A dish-spinning robot using a neural oscillator 用神经振荡器旋转盘子的机器人
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.036
K. Matsuoka, M. Ooshima
{"title":"A dish-spinning robot using a neural oscillator","authors":"K. Matsuoka,&nbsp;M. Ooshima","doi":"10.1016/j.ics.2006.12.036","DOIUrl":"10.1016/j.ics.2006.12.036","url":null,"abstract":"<div><p>Recently, models of neural oscillators have been applied to many robots that perform various rhythmic movements. This paper describes a robot that performs a dish-spinning trick using a neural oscillator model. Two oscillators actuate a two-link manipulator to whirl a vertical rod on top of which a dish is hanged, while the angular position of the dish is fed back to the oscillators as input. Essentially, the controlled system has two different dynamic modes, i.e., a low-speed, large-radius whirl and a high-speed, small-radius one. A main difficulty in the control is that the oscillators must adapt to both the modes and change its mode from one to the other. Though there exists no direct interaction between the oscillators, the robot achieves the dish-spinning trick by making use of indirect interaction by way of the mechanical system.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 218-221"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"99874754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Real-time motion detection with a mixed analogue–digital neuromorphic vision system 模拟-数字混合神经形态视觉系统的实时运动检测
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.032
Keisuke Inoue, Seiji Kameda , Tetsuya Yagi
{"title":"Real-time motion detection with a mixed analogue–digital neuromorphic vision system","authors":"Keisuke Inoue,&nbsp;Seiji Kameda ,&nbsp;Tetsuya Yagi","doi":"10.1016/j.ics.2006.12.032","DOIUrl":"10.1016/j.ics.2006.12.032","url":null,"abstract":"<div><p>We fabricated a novel vision system consisting of a neuromorphic silicon retina and FPGA circuits. The silicon retina executes two classes of fundamental image pre-processing: a Laplacian–Gaussian-like spatial filtering and a subtraction of consecutive image frames. The output images of the silicon retina are fed to FPGA circuits, with which image cues, <em>i.e.,</em> contours, motion, direction of motion and centre of moving objects, are extracted within a single frame sampling time of the silicon retina. The system has compact hardware and low power consumption and therefore is suitable for controlling autonomous robots.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 93-96"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92784111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Block-splitting type morphological associative memory for practical applications 分块型形态联想记忆的实际应用
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.008
Takashi Saeki, Tsutomu Miki
{"title":"Block-splitting type morphological associative memory for practical applications","authors":"Takashi Saeki,&nbsp;Tsutomu Miki","doi":"10.1016/j.ics.2006.12.008","DOIUrl":"10.1016/j.ics.2006.12.008","url":null,"abstract":"<div><p>From an engineering viewpoint, associative memory is one of the most valuable brain functions. A new type of associative memory, morphological associative memory (MAM), has been proposed. The MAM achieves a high perfect recall rate by using a kernel image as an index for pattern recalling. The kernel images, however, are difficult to design for a large number of stored patterns. We developed a block-splitting type morphological associative memory (BMAM) with no need of kernel images. In this paper, the architecture of the BMAM is described and its performance is discussed based on the results of autoassociation experiments.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 290-293"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113763911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards manipulative neuroscience based on Brain Network Interface 基于脑网络接口的操作神经科学研究
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2007.02.063
Mitsuo Kawato
{"title":"Towards manipulative neuroscience based on Brain Network Interface","authors":"Mitsuo Kawato","doi":"10.1016/j.ics.2007.02.063","DOIUrl":"10.1016/j.ics.2007.02.063","url":null,"abstract":"<div><p><span>In ATR Computational Neuroscience<span><span> Laboratories, we proposed several computational models such as cerebellar internal models, MOSAIC, and modular and hierarchical reinforcement-learning models. Some of these models can quantitatively reproduce subject behaviors given </span>sensory inputs and reward and action sequences that subjects received and generated. These computational models possess putative information representation such as error signals for internal models and action stimulus dependent reward prediction, and they can be used as explanatory variables in neuroimaging and </span></span>neurophysiology experiments. We named this approach computational-model-based neuroimaging, as well as computational-model-based neurophysiology. This new approach is very appealing since it is likely the only method with which we can explore neural representations remotely from either sensory or motor interfaces. However, sometimes the limitation of a mere temporal correlation between the theory and data became apparent, so we started to develop a new paradigm, “manipulative neuroscience”, where physical causality is guaranteed.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 3-6"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2007.02.063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"112479679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A new selection circuit based on rough comparison method for GA hardware 基于粗糙比较法的遗传算法硬件选择电路
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.031
Tomokazu Hiratsuka, Hakaru Tamukoh, Keiichi Horio, Takeshi Yamakawa
{"title":"A new selection circuit based on rough comparison method for GA hardware","authors":"Tomokazu Hiratsuka,&nbsp;Hakaru Tamukoh,&nbsp;Keiichi Horio,&nbsp;Takeshi Yamakawa","doi":"10.1016/j.ics.2006.12.031","DOIUrl":"https://doi.org/10.1016/j.ics.2006.12.031","url":null,"abstract":"<div><p>Genetic algorithm (GA) is search algorithm based on the mechanics of natural selection and natural genetics. By the way, hardware accelerators for GA are required to reduce an execution time of GA. In the hardware implementation of GA, a circuit design of roulette wheel selection influences the performance of the GA hardware. In this paper, we propose a new roulette wheel selection circuit based on a rough comparison method (RCM), and evaluate effects of the proposed circuit in terms of the execution time and a circuit size.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 298-301"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138225624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A simple computational model for classifying small string sets 小串集分类的简单计算模型
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.11.006
Yoshihiko Suhara, Akito Sakurai
{"title":"A simple computational model for classifying small string sets","authors":"Yoshihiko Suhara,&nbsp;Akito Sakurai","doi":"10.1016/j.ics.2006.11.006","DOIUrl":"10.1016/j.ics.2006.11.006","url":null,"abstract":"<div><p>Recent research hypothesizes that the capacity for syntactic recursions forms the computational core of a uniquely human language faculty. Contrary to this hypothesis, Gentner et al. claimed that the capacity to classify sequences from recursive, center-embedded grammar is not uniquely human. We show in this paper that the patterns Gentner used are classified by a Bayesian classifier, a simple and fundamental classifier in machine learning, and consequently we claim that their argument is flawed.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 270-273"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.11.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"102272534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Modular network self-organizing map: Can it be an artificial cortex? 模块化网络自组织图:它能成为人工皮层吗?
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.003
T. Furukawa, K. Tokunaga, S. Yasui, H. Tamukoh, K. Ishii, M. Ishikawa, K. Horio, K. Natsume
{"title":"Modular network self-organizing map: Can it be an artificial cortex?","authors":"T. Furukawa,&nbsp;K. Tokunaga,&nbsp;S. Yasui,&nbsp;H. Tamukoh,&nbsp;K. Ishii,&nbsp;M. Ishikawa,&nbsp;K. Horio,&nbsp;K. Natsume","doi":"10.1016/j.ics.2006.12.003","DOIUrl":"10.1016/j.ics.2006.12.003","url":null,"abstract":"<div><p>This paper reports on novel developments brought by combining the self-organizing map (SOM) with a modular network. This is called modular network SOM (mnSOM). The mnSOM has an arrayed structure of functional modules aligned on a lattice, and the architecture looks similar to the column structure of our cortex. One of the advantages of the mnSOM is that the user can design the module architecture flexibly depending on the user's purpose, while the backbone algorithm of SOM is kept untouched. This advantage of mnSOM has brought us many variations and applications. In this paper, the concept of mnSOM is first introduced, and variations of mnSOM and their applications are overviewed.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 43-47"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"96340604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Noise-shaping pulse-density modulation in inhibitory neural networks with subthreshold neuron circuits 阈下神经元回路抑制神经网络中的噪声整形脉冲密度调制
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.041
Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya
{"title":"Noise-shaping pulse-density modulation in inhibitory neural networks with subthreshold neuron circuits","authors":"Akira Utagawa,&nbsp;Tetsuya Asai,&nbsp;Tetsuya Hirose,&nbsp;Yoshihito Amemiya","doi":"10.1016/j.ics.2006.12.041","DOIUrl":"10.1016/j.ics.2006.12.041","url":null,"abstract":"<div><p>We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation (PDM) with noisy neural elements. The aim of our research is to develop a possible ultralow-power delta–sigma type one-bit analog-to-digital converter. Through circuit simulations we confirmed that the signal-to-noise ratio (SNR) of the network was improved by 7.9 dB compared with that of the uncoupled network as a result of noise shaping.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 71-74"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"98505359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simple dynamical system model of selective cue responding cell development 选择性线索反应细胞发育的简单动力系统模型
International congress series Pub Date : 2007-07-01 DOI: 10.1016/j.ics.2006.12.100
Adam Ponzi
{"title":"Simple dynamical system model of selective cue responding cell development","authors":"Adam Ponzi","doi":"10.1016/j.ics.2006.12.100","DOIUrl":"10.1016/j.ics.2006.12.100","url":null,"abstract":"<div><p>In a recent experimental paper, Foster and Wilson [D.A. Foster, M.A. Wilson, Nature 440 (2006) 680–683] reported reverse replay of recent behavioural sequences in rat hippocampal place cells during the awake state immediately after spatial experience at the reward location. A simple dynamical system firing rate neuron model, illustrating how such replay can generate a map of the environment, selectively linking the replay location with other functionally relevant locations, is presented. Numerical simulations show the rapid development of a cell with receptive field corresponding to the reward location and only one of two cues in a cued T-maze task.</p></div>","PeriodicalId":84918,"journal":{"name":"International congress series","volume":"1301 ","pages":"Pages 294-297"},"PeriodicalIF":0.0,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ics.2006.12.100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113632572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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