搜索资源列表
MotifCatcher_v0.12
- a MATLAB GUI platform for determination and evaluation of biologically significant motifs
SOM-logistic
- SOM网络即自组织特征映射网络，采用竞争学习规则——Winner-Take-All 。网络的输出神经元之间相互竞争以求被激活，结果在每一时刻只有一个输出神经元被激活。这个被激活的神经元称为竞争获胜神经元，而其它神经元的状态被抑制，故称为Winner Take All。SOM网络是以生物学为基础，其运行分为训练和工作两个阶段。-SOM network self- organizing feature map network, competitive learning rule- Winner- T
bwt
- BWT decomposition Version 1.2 Arguments: im: A square image side length must be a power of 3 Result: decomp: The decomposition is laid out -BWT decomposition Version 1.2 Arguments: im: A square image side leng
algotithm-biologically-insipred-
- methods of Intelligent Systems and Intelligent Computing, very intersting and very useful for beignners.
gbvs
- 新的自下而上的视dmits combination with other maps. The model is simple, and biologically plausible insofar as it is naturally parallelized. This model powerfully predicts human xations on 749 variations of 108 natural images, achieving 98% of the ROC area
gbvs_hype_v1-master
- gbvs_nips 基于图的显著性。Graph-Based Visual Saliency。是发表在2006年NIPS上的论文。(A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: first forming activation maps on certain feature channels, and then nor
gptips2
- It is a free, open source MATLAB toolbox for symbolic data mining (SDM). It uses a biologically inspired machine learning method called multigene genetic programming (MGGP) as the 'engine' that drives the automatic model discovery process. GPTIPS