Hello and Welcome!
Hello and welcome. I am a neuroscience student with a background in physics, focusing on functional neuroimaging with a great enthusiasm. You can read more about me here. This website contains so...
Hello and welcome. I am a neuroscience student with a background in physics, focusing on functional neuroimaging with a great enthusiasm. You can read more about me here. This website contains so...
In this post, our aim is to get familiar with principal component analysis (pca) which is used for dimensionality reduction while also exploring an application of this technique for spike-sorting n...
In my previous post, Determining Visual Thresholds, we measured a threshold of detecting visual stimulus of pixels of different brightness levels (absolute threshold). Building upon the code of thi...
Ever wondered how well our eyes are able to distinguish between different luminance conditions? In this small experiment, I explore the topic of visual perception, from how we distinguish between c...
What does it mean to measure the speed of spatial attention? Within this post, we will do a small experiment using only a computer and shift the subject’s attention to parts of the screen while mea...
I want to go through a simple but interesting psychophysics experiment to measure the reaction time of a human subject to visual stimulation, using just a computer. I will do the experiment myself ...
In this story, I briefly introduce what is central limit theorem and provide a visual proof using python to generate data and plot its distribution. Central Limit Theorem Central limit theorem ...
In this story, I dive into the topic of Regression Tree and its basic mathematical background. I will try to explain it as simple as possible and create a working model using python from scratch. ...
In this story I generalize my explanations in Regression with Python From Scratch - Linear Regression post, into polynomial regression. Again starting by creating random data with noise, this time ...
I try to explain a regression model with its basic math background and implement a working model from scratch using numpy only. Then, at the end, a model is created using scikit-learn framework. ...