hands-on parameter search for neural simulations by a midi-controller实践参数有哪些信誉好的足球投注网站神经模拟midi控制器.pdfVIP
- 1、本文档共4页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
- 5、该文档为VIP文档,如果想要下载,成为VIP会员后,下载免费。
- 6、成为VIP后,下载本文档将扣除1次下载权益。下载后,不支持退款、换文档。如有疑问请联系我们。
- 7、成为VIP后,您将拥有八大权益,权益包括:VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
- 8、VIP文档为合作方或网友上传,每下载1次, 网站将根据用户上传文档的质量评分、类型等,对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档
查看更多
hands-on parameter search for neural simulations by a midi-controller实践参数有哪些信誉好的足球投注网站神经模拟midi控制器
Hands-On Parameter Search for Neural Simulations by a
MIDI-Controller
Hubert Eichner*, Alexander Borst
Max-Planck-Institute of Neurobiology, Department of Systems and Computational Neurobiology, Martinsried, Germany
Abstract
Computational neuroscientists frequently encounter the challenge of parameter fitting – exploring a usually high
dimensional variable space to find a parameter set that reproduces an experimental data set. One common approach is
using automated search algorithms such as gradient descent or genetic algorithms. However, these approaches suffer
several shortcomings related to their lack of understanding the underlying question, such as defining a suitable error
function or getting stuck in local minima. Another widespread approach is manual parameter fitting using a keyboard or a
mouse, evaluating different parameter sets following the users intuition. However, this process is often cumbersome and
time-intensive. Here, we present a new method for manual parameter fitting. A MIDI controller provides input to the
simulation software, where model parameters are then tuned according to the knob and slider positions on the device. The
model is immediately updated on every parameter change, continuously plotting the latest results. Given reasonably short
simulation times of less than one second, we find this method to be highly efficient in quickly determining good parameter
sets. Our approach bears a close resemblance to tuning the sound of an analog synthesizer, giving the user a very good
intuition of the problem at hand, such as immediate feedback if and how results are affected by specific parameter changes.
In addition to be used in research, our approach should be an ideal teaching tool, allowing students to interactively explore
complex models such as Hodgkin-Huxley or
您可能关注的文档
- genomic environment predicts expression patterns on the human inactive x chromosome基因环境预测表达式模式在人类不活跃的x染色体.pdf
- genomic hiv rna induces innate immune responses through rig-i-dependent sensing of secondary-structured rna艾滋病毒基因组rna诱导通过rig-i-dependent传感secondary-structured rna的先天免疫反应.pdf
- genomic hotspots for adaptation the population genetics of müllerian mimicry in heliconius erato基因组热点地区为适应缪氏拟态的种群遗传学邮差埃拉托.pdf
- genomic diversity among drug sensitive and multidrug resistant isolates of mycobacterium tuberculosis with identical dna fingerprints基因组多样性之间的药物敏感和耐药结核分枝杆菌分离株与相同的dna指纹.pdf
- genomic imprinting in mammals emerging themes and established theories在哺乳动物基因组印记新兴主题和建立理论.pdf
- genomic instability and telomere fusion of canine osteosarcoma cells基因组不稳定性和犬骨肉瘤细胞的端粒融合.pdf
- genomic instability is associated with natural life span variation in saccharomyces cerevisiae基因组不稳定性与酿酒酵母的自然寿命的变化.pdf
- genomic landscape of a three-generation pedigree segregating affective disorder基因组的一个三代同堂的血统隔离情感障碍.pdf
- genomic position mapping discrepancies of commercial snp chips基因组位置映射商业snp芯片的差异.pdf
- genomic organization, molecular diversification, and evolution of antimicrobial peptide myticin-c genes in the mussel (mytilus galloprovincialis)基因组组织分子多样化,myticin-c抗菌肽基因的进化贻贝(mytilus galloprovincialis).pdf
文档评论(0)