My Background

姓名:李强

我来自中国。很高兴可以来到这儿学习！

欢迎大家以后来中国看看！

Birth at GauSu

LanZhou Beef Noodles
LanZhou

FuXi Temple
TianShui

Mogao Caves
DunHuang

Basic Information of Neuroscience

What's the ${Human, Artificial}  intelligence?  && How the brain works?

${Physical, Intelligence, Energy, stochastic} system

To really understand the brain, we’d need somehow to read the information from millions of individual neurons at once!

The brain is very richly inter-connected.

Adapted from Felleman & Van Essen, 1991

Neural Information Processing

Synapse? (deep learning)

Thorpe et al., 2001

Virtual Brain

Adapted from Eliasmith et al., 2012

Advanced Neuroscience Techniques

Micro Level

Visual neurons of cat
orentation selectivity Properties
Imaging processing-Gabor function

Hubel & Wiesel., 1959

Meso Level

Optogenetics

Adapted from Karl Deisseroth Lab website

Macro Level

MRI

Study Brain with fMRI

Encoding and Decoding Models of Cognition

adapted from Parietal website

$ ipython
In [1]: import cortex
In [2]: ds = cortex.load("S1_retinotopy.hdf")
In [3]: cortex.webshow(ds)
demo

>> matlab live script
% Input image is segmented gray or white matter with FSL or SPM
>> surf = spm_surf(spm_select(1, 'image', select image data));
% Put statistics images onto render surface
>> mat = spm_render(spm_select(1,'mat','Select mat data'));
demo: open live script

Master Thesis

Encoding Analysis

Face Stimulus
Task: judge male or female
Scanning subject brain

Decoding Analysis

$ ipython
In [1]: from sklearn.svm import SVC
In [2]: svm = SVC(C=1., kernel="linear")
In [3]: from sklearn.linear_model import (LogisticRegression, RidgeClassifier, RidgeClassifierCV)
In [4]: logistic = LogisticRegression(C=1., penalty="l1", solver='liblinear')
In [5]: ridge = RidgeClassifier()
In [6]: from sklearn.naive_bayes import GaussianNB, BernoulliNB, MultinomialNB
In [7]: gnb = GaussianNB()
In [8]:classifiers = {'SVC': svm, 'log l1': logistic, 'ridge': ridge, 'gnb':gnb}

Classification Reuslt & Learning Curve