n*********0
发帖数: 1543 | 1 Dopamine.
Serotonin.
Noradrenalin.
These three neural transmitter are so called happy messengers. They bind to
their corresponding receptors and generate nerve impulses at specific region
in the brain and leads to sensation of happiness.
A lot illegal drugs mimics the structure of these neural transmitters and
can cause euphoria. Since the sensation is so amazing (even stronger than
orgasm), they are highly addictive.
The electric signal of vision starts when photon hit the retina which has
cell... 阅读全帖 |
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d**********o
发帖数: 1321 | 2 要不要选EC课(1)
春天的课，上学期那个另一个campus里统计相关课的老师，这学期还会教一门Neural
Network课，但我已经不敢再去选了。编译课得C之后，我对选课非常缺乏安全感。选外
校老师的课，apply天下乌鸦一般黑的理论，我担心自己会下场很惨淡、会死得不明不
白！外加从编译课反映出的、当我学习上有困难的时候，我对代课老师的依赖性，我就
会担心因为距离的关系，同代课老师没办法有效沟通。
接下来的学期，如果我真还有奖学金，我最感兴趣的是AI老师的Evolutionary
Computation课。我有统计背景，在放弃Neural Network课后，帮助自己combine
majors、锻炼编程，EC课都可以成NN课一个很好的替代。
这门课，几个中国学生里就只有板块上过。
当我问及板块他EC课的上课内容、上课效果时，他说当年他选的那门EC课是我编译课代
课老师教的；而且他选EC课时是与编译课一起选的（他的编译课老师是我cs210的老师
，也与他game theory老师同一人。他告诉我说，一方面EC课的内容太难，根本听不懂
老师在讲什么，一方面他两门大课是同一学期一起选的... 阅读全帖 |
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d**********o
发帖数: 1321 | 3 要不要选EC课(1)
春天的课，上学期那个另一个campus里统计相关课的老师，这学期还会教一门Neural
Network课，但我已经不敢再去选了。编译课得C之后，我对选课非常缺乏安全感。选外
校老师的课，apply天下乌鸦一般黑的理论，我担心自己会下场很惨淡、会死得不明不
白！外加从编译课反映出的、当我学习上有困难的时候，我对代课老师的依赖性，我就
会担心因为距离的关系，同代课老师没办法有效沟通。
接下来的学期，如果我真还有奖学金，我最感兴趣的是AI老师的Evolutionary
Computation课。我有统计背景，在放弃Neural Network课后，帮助自己combine
majors、锻炼编程，EC课都可以成NN课一个很好的替代。
这门课，几个中国学生里就只有板块上过。
当我问及板块他EC课的上课内容、上课效果时，他说当年他选的那门EC课是我编译课代
课老师教的；而且他选EC课时是与编译课一起选的（他的编译课老师是我cs210的老师
，也与他game theory老师同一人。他告诉我说，一方面EC课的内容太难，根本听不懂
老师在讲什么，一方面他两门大课是同一学期一起选的... 阅读全帖 |
|
|
g********0
发帖数: 6201 | 5 【 以下文字转载自 Biology 讨论区 】
发信人: midwestPstD (中西部博士后), 信区: Biology
标 题: 生物研究真TM的复杂
发信站: BBS 未名空间站 (Wed Nov 1 11:45:13 2017, 美东)
某人用MRI研究人和狗的大脑功能。发现狗的左右半脑在语言功能上和人相反，发了一
篇Science。过了一年，突然意思到人作MRI上仰躺，狗是趴着的。。。
（ZT)
Erratum for the Report “Neural mechanisms for lexical processing in dogs”
by A. Andics, A. Gábor, M. Gácsi, T. Faragó, D. Szabó, á. Miklósi
See all authors and affiliations
Science 07 Apr 2017:
Vol. 356, Issue 6333, eaan3276
DOI: 10.1126/science.aan3276
Article
Info & Metrics
eLetters
In th... 阅读全帖 |
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J*******g
发帖数: 8775 | 6 也就是说这个人不是一般的佛教徒，他说的话就是权威？是这样么？
他是菩萨这是谁决定的呢？
意识显然不是被科学拒之门外的。现在的神经科学也有研究意识的，只是目前的研究非
常粗浅罢了。生物体构成基础细胞里面是粘滞流体，这种粘滞导致非常大的损耗，损耗
会导致量子退相干。我还没见过哪个实验验证脑里的量子效应比较重要。
Importance of quantum decoherence in brain processes（PRE 61,4914)
Abstract
Based on a calculation of neural decoherence rates, we argue that the
degrees of freedom of the human brain that relate to cognitive processes
should be thought of as a classical rather than quantum system, i.e., that
there is nothing fundamentally wrong with the curren... 阅读全帖 |
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w*********r
发帖数: 2192 | 7 ABSTRACT
Neuropsychological research on the neural basis of behavior generally posits
that brain
mechanisms will ultimately suffice to explain all psychologically described
phenomena.
This assumption stems from the idea that the brain is made up entirely of
material
particles and fields, and that all causal mechanisms relevant to
neuroscience can therefore
be formulated solely in terms of properties of these elements. Thus terms
having intrinsic
mentalistic and/or experiential content (e.g., "fe... 阅读全帖 |
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r*******c
发帖数: 1060 | 8 2011年8月份小结
打坐：8月25h （全年累计85h25m）
跑步：8月112.5miles （全年累计531.2 miles）
练舞：8月0h（全年累计24h）
阅读：6本（全年累计40本）
8月份的关键词：跑步。还魂记。夏天就要走了，恋恋。
嗯，长周末。开心。
8月份和一个dream offer擦肩而过，有些遗憾。不过，我是生活在深海里的小贝壳，而
这些事情属于生活很表层的/海面的，所以，只是很遥远很表层的遗憾。毕竟，对深海
里的小贝壳来说，怀里孕育的珍珠才是最重要。那颗珍珠就是纯净灵动的心。（要吐了
吗？呵呵）
不过，至少从理智上，我已经把修心修行放在人生第一位了。当然，习性上，还是经常
被习性牵着鼻子走。所以，要练习呀。呵呵。
本月开心的有：
1) 心灵方面：每年下半年，由于年底和生日的到来，总会变得精进一点，呵呵。本
月打坐了蛮多多，而且平时也尽量保持正念。感觉大脑清晰了不少，或者说杂念纷飞的
情形有所减缓。尤其每天早上都是在一种深深的安定宁和的感觉中醒来，好舒服好美妙
好像和外婆在一起的感觉。每天都是微笑着醒来/wake up with inner smile。真... 阅读全帖 |
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w**u
发帖数: 311 | 9 IRIS MM 提的问题大多数也是我最近在想的。这些问题都很大，如果实实在在提供了生
物学基础，夸张的讲，人类社会就会发生变化了。
我二指禅打字太慢，这几个大问题的讨论再想想。这儿提供一下最近两篇拙文,以及跟贴
讨论相关的reference。
Reference 5,11 部分内容可能针对IRIS第五个问题.wandering mind 可以佛语理解成
“无正念”的心。
1. Brefczynski-Lewis, J.A., Lutz, A., Schaefer, H.S., Levinson, D.B., and
Davidson, R.J. (2007). Neural correlates of attentional expertise in long-
term meditation practitioners. Proceedings of the National Academy of
Sciences of the United States of America 104, 11483-11488.
2. Jain, S., Shapiro, S.L., S... 阅读全帖 |
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Y**u
发帖数: 5466 | 10 ☆─────────────────────────────────────☆
wuyu (wuyu) 于 (Thu Sep 15 13:32:47 2011, 美东) 提到:
我练习安般息念只有一年半时间，尽量坚持每天练习一个小时以上，是一个百份百的菜
鸟。所以我写此文的目的：总结自己，抛砖引玉，望能者上钩。希望这儿有实修的师兄
姐评论，并给其他菜鸟们一个参考。
安般息念以呼吸为所缘，取其中的“概念法“成分作持续专著觉知，是三摩地修行的最
受喜爱的业处之一。对大多数菜鸟来说，止禅的第一座高峰就是色界初禅。色界初禅的
五个特点：寻，饲，喜，乐，持续专注（一境性）是通过对治五盖而达到的。五盖是指
“贪，嗔，疑，昏沉，掉举”。我每天一个半小时的练习中，大约有半小时用于安般息
念的前方便，一小时用在入出息上。下面我对自己练习的每一步骤进行描述，并对个人
理解的法理进行讨论。请大虾们批评指正。
第一篇：前方便
我的前方便包括：1）调整身姿；2）礼敬佛陀，阿拉汉，正等正觉者；3）佛随念；4）
慈心念；5）身随念；6）死随念；7）正忆念 （这个得谢谢SeeU 帮我理清概念）。
1）调整身... 阅读全帖 |
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w**u
发帖数: 311 | 11 我能看到这些文章的问题是：似乎都是从 Richard J. Davidson （Academy Member of
AAAS）
实验室出来的。麻省总医院的研究组最近也很活跃。
1. Brefczynski-Lewis, J.A., Lutz, A., Schaefer, H.S., Levinson, D.B., and
Davidson, R.J. (2007). Neural correlates of attentional expertise in long-
term meditation practitioners. Proceedings of the National Academy of
Sciences of the United States of America 104, 11483-11488.
2. Holzel, B.K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S.M.,
Gard, T., and Lazar, S.W. (2011). Mindfulness practice lea... 阅读全帖 |
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w****p
发帖数: 6 | 12 比较两个教授的publication，大家觉得哪个好？
#######################################
教授A
Selected Publications:
1. Xin M. Liang, Weiping Ding, et al., Microfabricated thermal conductivity
sensor: a high resolution tool for quantitative thermal property measurement
of biomaterials and solutions, Biomed Microdevices, (2011)13: 923–928. (
SCI&EI, IF:3.386, JCR:2区)
2. XM Zhou, ZQ Shu, WP Ding, et al., Heat transfer analysis for the design
and application of the passive cooling rate controlled device-Box-in-box,
Int ... 阅读全帖 |
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S*********r
发帖数: 4729 | 13 Then I got confused, check this link for the below information. What is the
category of the first paper? not oral?
http://www-users.cs.umn.edu/~jieping/Research/
Jieping Ye, Ravi Janardan, Qi Li. Two-Dimensional Linear Discriminant
Analysis. Neural Information Processing Systems (NIPS 2004) (Acceptance rate =
65/822 = 8%). To appear.
Xiong Tao, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky. Efficient
Kernel Discriminant Analysis via QR Decomposition. Neural Information
Processing Syste |
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g***o
发帖数: 230 | 14
It can, but only in a approximate sense, e.g., the following paper:
Fast Neural Network Surrogates for Very High Dimensional River-Estuary-Ocean
Circulation Models. Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu,
Sergey Frolov, and Antonio Baptista. Neural Networks, 20, 462-478, 2007. |
|
d******e
发帖数: 7844 | 15 J MACH LEARN RES 2.255
MACH LEARN 2.654
IEEE T PATTERN ANAL 4.306
NEURAL COMPUT 2.29
J COGNITIVE NEUR 5.197
PATTERN RECOGN 1.822
IEEE T NEURAL NETWOR 2.62
PATTERN RECOGN LETT 0.952
NEUROCOMPUTING 0.86 |
|
B****x
发帖数: 17 | 16 http://blog.sina.com.cn/s/blog_661c16d00100kc51.html
机器学习大家谈（转贴）(2010-03-17 21:42:19)转载
标签：杂谈 分类：学术科研
闲着无事，想写点一些我所了解的machine learning大家。由于学识浅薄，见识有限，
并且仅局
限于某些领域，一些在NLP及最近很热的生物信息领域活跃的学者我就浅陋无知，所以
不对的地方大
家仅当一笑。
Machine Learning 大家(1)：M. I. Jordan
在我的眼里，M Jordan无疑是武林中的泰山北斗。他师出MIT，现在在berkeley坐
镇一方，
在附近的两所名校（加stanford）中都可以说无出其右者，stanford的Daphne Koller
虽然也
声名遐迩，但是和Jordan比还是有一段距离。
Jordan身兼stat和cs两个系的教授，从他身上可以看出Stat和ML的融合。
Jordan 最先专注于mixtures of experts，并迅速奠定了自己的地位，我们哈尔滨
工业大
学的校友徐雷跟他做博后期间，也在这个方向上沾光不少... 阅读全帖 |
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D***r
发帖数: 7511 | 17
I didn't talk about this at all...
Someone talked about Boltzmann machine,...i referred to that.
BM is simply an undirected graphical model and has very deep probabilistic interpretations.
I don't know what you mean by "unsupervised neural networks" specifically,
because I didn't follow the publications.
And it's simply impossible to claim the learning models "半毛钱关系都没有",
if you study the math behind them. But that's a separate issue.
For traditional neural networks, of course you are right here... 阅读全帖 |
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y*******n
发帖数: 148 | 18 2011 IF： 1.88
大致方向：
soft computing technologies
evolutionary algorithms and genetic programming
neural science and neural net systems
fuzzy set theory and fuzzy systems
chaos theory and chaotic systems
有兴趣请发
* CV and/or homepage (including research interests and list of publications)
* Email
* Current affiliation
到 r*********[email protected], 请不要发站内信箱。 |
|
y*******n
发帖数: 148 | 19 2012 Impact Factor: 1.124
大致方向：
soft computing technologies
evolutionary algorithms and genetic programming
neural science and neural net systems
fuzzy set theory and fuzzy systems
chaos theory and chaotic systems
有兴趣请发
* CV and/or homepage (including research interests and list of publications)
* Email
* Current affiliation
到 r*********[email protected], 请不要发站内信箱。 |
|
y*******n
发帖数: 148 | 20 2012 Impact Factor: 1.124
大致方向：
soft computing technologies
evolutionary algorithms and genetic programming
neural science and neural net systems
fuzzy set theory and fuzzy systems
chaos theory and chaotic systems
有兴趣请发
* CV and/or homepage (including research interests and list of publications)
* Email
* Current affiliation
到 r*********[email protected], 请不要发站内信箱。 |
|
y*******n
发帖数: 148 | 21 2013 Impact Factor 1.304
大致方向：
soft computing technologies
evolutionary algorithms and genetic programming
neural science and neural net systems
fuzzy set theory and fuzzy systems
chaos theory and chaotic systems
有兴趣请发
* CV and/or homepage (including research interests and list of publications)
* Email
* Current affiliation
到 [email protected]
/* */, 请不要发站内信箱。 |
|
y*******n
发帖数: 148 | 22 2013 Impact Factor 1.304
大致方向：
soft computing technologies
evolutionary algorithms and genetic programming
neural science and neural net systems
fuzzy set theory and fuzzy systems
chaos theory and chaotic systems
有兴趣请发
* CV and/or homepage (including research interests and list of publications)
* Email
* Current affiliation
到 [email protected]
/* */, 请不要发站内信箱。 |
|
w***g
发帖数: 5958 | 23 Google用什么方法我不知道。但是分析搜索结果我猜用了下面几种技术：
1. reverse image search，搜同一个图的不同版本. 用SIFT, SURF等local feature。
我的那个软件就是做这个的。
2. search by visual similarity. 可以简单地想像成按color histogram搜。Google
可能有比color histogram牛得多的特征。
3. search by surrounding text。
4. 可能还有别的零散的技术，比如人脸识别对象识别等等，从图片中抽取关键字。考
虑到Google财大气粗，甚至有能力对人进行建模，检测到人以后可以对前景/背景分别
提取特征。最近应该也用上了neural network吧。但neural network给出的标签应该是
非常high-level的，对搜索帮助不会特别大。
最后把所有的结果rank一下，出来大概就是这个结果。Google确实是牛。我见过一眼负
责image search的那个老头，一脸苦B的样子，可能压力也非常大。
结果 |
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l*******b
发帖数: 2586 | 24 是田径呀, 大脑处理眼睛看到的信号, 从图像的neural push到信息的neural要快呀,
然后feedback接下来往哪里看。信息本身就是用网格表达的, 必须要快 |
|
w***g
发帖数: 5958 | 25 GPU是个niche market，没啥前途。坐等Intel带FPGA的CPU出来。
我正在搞纯CPU的一个比SGD更一般化的计算平台，可以支持linear regression
的各种变种和neural network的各种变种。现在用图像数据训练neural network
性能比GPU差10倍的样子，等着上FPGA后一举超过GPU。
GPU的问题是显卡内存太小，目前最大也不超过10G。而服务器内存目前200G都挺
常见了。10G数据能折腾个啥出来。 |
|
|
a*****g
发帖数: 19398 | 27 Deep Learning Isn’t a Dangerous Magic Genie. It’s Just Math
Deep learning is rapidly ‘eating’ artificial intelligence. But let’s not
mistake this ascendant form of artificial intelligence for anything more
than it really is. The famous author Arthur C. Clarke wrote, “Any
sufficiently advanced technology is indistinguishable from magic.” And deep
learning is certainly an advanced technology—it can identify objects and
faces in photos, recognize spoken words, translate from one language to
another... 阅读全帖 |
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w*******e
发帖数: 1588 | 28 "Although multi-layer neural networks with many layers can represent deep
circuits, training deep networks has always been seen as somewhat of a
challenge. Until very recently, empirical studies often found that deep
networks generally performed no better, and often worse, than neural
networks with one or two hidden layers."
Bengio, Y. & LeCun, Y., 2007. Scaling learning algorithms towards AI. Large-
Scale Kernel Machines, (1), pp.1-41. |
|
z***t
发帖数: 10817 | 29 【 以下文字转载自 Military 讨论区 】
发信人: threepig (), 信区: Military
标 题: 德州扑克也不是啥人工智能的禁区，早晚碾压人类
发信站: BBS 未名空间站 (Tue Jan 10 09:35:38 2017, 美东)
看来网上扑克赌场的生意做不了多久了。
学界 | 新论文提出玩扑克人工智能DeepStack：已达职业玩家水平
2017-01-10 机器之心
选自arxiv.org
机器之心编译
参与：吴攀、李亚洲
当地时间 1 月 11 日，在宾夕法尼亚州匹兹堡的 Rivers 赌场，由卡耐基梅隆大学（
CMU）开发的名为 Libratus 的人工智能系统将与人类顶级职业德州扑克玩家进行 20
万美元的比赛。然而 CMU 并不是唯一一个在研究如何让人工智能学习玩扑克牌的地方
，近日，加拿大阿尔伯塔大学、捷克布拉格查理大学和捷克理工大学的研究者联合发表
了一篇论文，表示其人工智能已经在无限制扑克（No-Limit Poker）游戏上达到了专家
级的水平。点击阅读原文可下载该论文。
摘要
近些年来，人工智能领域出现了很多突破，其中游戏往往被用作重... 阅读全帖 |
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w*****h
发帖数: 423 | 30 在公司做sentiment analysis，
现在的做法是这样
首先在大概几万句sentences中训练出word2vec model
然后将大概4000个labels的sentences转成vector, 80%作为training, 20%作为testing
， 用neural net作为classifier
类别三类，positive, neutral, negative
之前是公司的一个印度人在负责，达到63% accuracy
我接手之后调参 + 做一些ensemble提高到68% leader似乎不满足，觉得可以到70%甚
至80%
现在我想到思路有几个
1. 做semi-supervise, 没有label的数据有的是
2. unsupervise learning， 比如用autoencoder来initialize neural net
3. GBM or Random forest? 觉得这几个不可能超过我现在这个了
来这里希望得到一些启发，谢啦！ |
|
w***g
发帖数: 5958 | 31 这两个用来解决不同的问题.
固定唯独的特征数据(比如病人的年龄性别身高体重等各种参数), 用xgboost效果比较
好.
图象声音等从传感器获得的数据, 用neural network比较好.
xgboost能做的, 非要用neural network调到同样的效果, 也应该能调到, 就是麻烦点. |
|
w*****h
发帖数: 423 | 32 在公司做sentiment analysis，
现在的做法是这样
首先在大概几万句sentences中训练出word2vec model
然后将大概4000个labels的sentences转成vector, 80%作为training, 20%作为testing
， 用neural net作为classifier
类别三类，positive, neutral, negative
之前是公司的一个印度人在负责，达到63% accuracy
我接手之后调参 + 做一些ensemble提高到68% leader似乎不满足，觉得可以到70%甚
至80%
现在我想到思路有几个
1. 做semi-supervise, 没有label的数据有的是
2. unsupervise learning， 比如用autoencoder来initialize neural net
3. GBM or Random forest? 觉得这几个不可能超过我现在这个了
来这里希望得到一些启发，谢啦！ |
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w***g
发帖数: 5958 | 33 这两个用来解决不同的问题.
固定唯独的特征数据(比如病人的年龄性别身高体重等各种参数), 用xgboost效果比较
好.
图象声音等从传感器获得的数据, 用neural network比较好.
xgboost能做的, 非要用neural network调到同样的效果, 也应该能调到, 就是麻烦点. |
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g****t
发帖数: 31659 | 34 来自主题: Programming版 - 数值计算 我真的是neural network的master，然后F2来美国.
找不到奖学金才转pde／ode的。
前面不是有人问neural network的稳定性吗。
我多年前写过一个sequence2sequence的RNN estimator，用qualify／disqualify
好坏点的办法确保稳定性。但我只能做一维。
等5年后我告诉大家诀窍在哪。 |
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g****t
发帖数: 31659 | 35 来自主题: Programming版 - 数值计算 我真的是neural network的master，然后F2来美国.
找不到奖学金才转pde／ode的。
前面不是有人问neural network的稳定性吗。
我多年前写过一个sequence2sequence的RNN estimator，用qualify／disqualify
好坏点的办法确保稳定性。但我只能做一维。
等5年后我告诉大家诀窍在哪。 |
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f********g
发帖数: 101 | 36 There is a whole tradition called Neuroethology. I guess it
is more defined by
the kind of questions they ask. They typically try to figure
out what kind of
purpose does a neural strucutre serve, what behavioral
consequences a neural structure has and what evolutionary
advantages does it confer. But it's really a loose
confederation of researchers.
I guess gems in this tradition that I know of include
Gibson's ethological theory of vision and recent researches
on how the visual system is optimal |
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d*****r
发帖数: 2583 | 37 Sabatini和Svoboda师徒同时获奖，真是可喜可贺。
2002-2003
Liqun Luo, Ph.D., Stanford University
Single Neuron Labeling and Genetic Manipulation in Mice
Luo is working on a genetic method to manipulate and trace single neurons in
mice to learn how neural networks are assembled during development and late
r modified by experience.
A. David Redish, Ph.D.; Babak Ziaie, Ph.D.; and Arthur G. Erdman, Ph.D., Uni
versity of Minnesota
Wireless Recording of Neural Ensembles in Awake, Behaving Rats
The collaborators-a neuro |
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r****o
发帖数: 105 | 38 本文献给YL
（十六）O Infundibulum, Where Art Thou?
上一篇介绍了胚胎发育的原肠化期（6.5dpc~7.5dpc）。在此之前，胚胎并没有成
形，甚至看不出来头尾。7.5dpc之后，胚胎进入器官形成期（organogenesis stage）
。这一时期中，最早开始发育的是神经系统，前方外胚层衍生出神经板（neural plate
）结构，神经板再演化为神经管（neural tube）最后形成中枢神经系统，包括脑和脊
椎。神经系统的发育开始之后，整个胚胎的躯体规划已经成型，可以看出头尾。与此同
时心脏和循环系统也开始发育，随之而来的是身体其他内脏器官的发育。
终于介绍完六月七号第一天课程的实验和理论课程。现在我来介绍第二天的实验课
程。第六篇和第八篇里面我分别介绍了子宫冲洗和胚胎子宫转移两种技术。子宫冲洗的
目的是分离3.5dpc之后，处于囊胚期的着床前胚胎。但是如果要分离3.5dpc之前的胚胎
，比如单纯的受精卵，或者桑葚胚，又该怎么办呢？3.5dpc之前的胚胎还在输卵管（
oviduct），所以必须用一种叫输卵管冲洗（oviduct |
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p*********8
发帖数: 1 | 39 Postdoctoral Position in Neural Stem Cell and Brain Tumorigenesis
A postdoctoral position is immediately available in the Zheng Laboratory at
Cold Spring Harbor Laboratory. This newly founded lab uses a range of in
vivo and in vitro approaches to study malignant gliomagenesis and its
relations to neural stem and progenitor lineage development (for more
information, please see - Cancer Cell 2010 17: 497; Nature 2008 455: 1129;
PNAS 2010 107: 6912). We are seeking a well-qualified and motivated
in |
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p*****m
发帖数: 7030 | 40 janelia farm只做两件事 发展imaging技术 研究neural circuitry。这两个目标号称是
是HHMI找一堆牛人关门研究的结果 觉得这两个方向代表了neuroscience的前途。
他们当然是有mammal的人了 做neural circuitry的 |
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d*****r
发帖数: 2583 | 41 I think at the deepest level, the solution of this problem is the same
solution of the neural circuitry problem. I used to working a lab mimicking
the neural circuitry to solve the pattern recognition problem. I guess
human brain already has the solution of this extremely hard problem in
computer science. It's just we need to dig into the circuits so deep to
find out. |
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a****d
发帖数: 1919 | 42 Are u suggesting that, whatever regulating neurogenesis during early brain
development also contribute to later synapse formation/modification; in
another word, the similar complexes involved in neural diversity also direct
neural circuit formation and have an impact on learning and memory?
I always have trouble on papers from Tsai's lab though...Seems sometimes
they pushed too much |
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A********e
发帖数: 117 | 43 Introducing Prof. Zou Zhihua
Bookmark in Connotea
According to his page on the website of UTMB, Prof. Zou Zhihua completed his
BS and MS degree in First Military Medical University (now known as
Southern Medical University), Guangzhou, China in 1986. He then went on PhD
study in Osaka University, Japan from 1992 to 1997, followed by post-
doctoral training in Havard University. His research interests include:
Identification of functional neural circuits
Odor and pheromone sensing
Neural and Meta |
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d*****r
发帖数: 2583 | 44 http://www.hhmi.org/news/popups/isrf_pop.html
2011 International Student Research Fellows
Institution Student Advisor Discipline
Boston University Wei Guo
China Barbara Shinn-Cunningham Systems and computational
neuroscience
Brandeis University Marcus Long
United Kingdom Lizbeth Hedstrom Protein degradation using chemical
biology
California Institute of Technology Andreas Hoenselaar
Germany Thanos Siapas Spatial mapping in the hippocampus using
virtual
reality... 阅读全帖 |
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a*******s
发帖数: 1539 | 45 my email: h*****[email protected], thanks
http://iopscience.iop.org.ezproxy.hsclib.sunysb.edu/1741-2552/8
Christian T Wentz et al 2011 J. Neural Eng. 8 046021 doi:10.1088/1741-2560/8
/4/046021
A wirelessly powered and controlled device for optical neural control of
freely-behaving animals
Christian T Wentz1,2,3, Jacob G Bernstein2,3, Patrick Monahan2,3, Alexander
Guerra2,3, Alex Rodriguez2,3 and Edward S Boyden2,3,4,5,6
Show affiliations |
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n********k
发帖数: 2818 | 46 alright, u corned me:)) so here is my take: The entire system can work out
was really amazing and it must be a decent/smart one, bold too and clearly
luck was with them...
The highlight I personally think was to pool 24 factors and then do 24-1 to
reduce the sheer demand for labor. Luckily it worked out, it could be a
trash/disastrous design---when one pool things together, God knows what may
happen: either needs to be sequential, or some may be antagonists...Anyway,
you can say, that's very s... 阅读全帖 |
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z****u
发帖数: 1007 | 47 是neural crest cell 特异表达的GFP. craniofacial region,包括retina, forbrain
BBB的pericyte都是来自于neural crest cell.
pericyte在所有的capillary都有。但是没有一个universal surface marker.
scale bar是200um. |
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n********k
发帖数: 2818 | 48 Maybe I am just not well informed: has anyone clarified on the neural stem
transplantation case last year....I thought there was tumor formation four
ys after the neural stem cell transplanation for the kid, and some of
experts' argument against were pretty lame I would say...I don't know how
much experience we have so far over stem cell therapy and do we really have
a decent handle of the potential for tumors, beyond some other problems you
have listed?
the
Even |
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