We’re moving on to a rather controversial topic: brain autopsy. Rather than talking about the future and how it involves xNeurals, I want this post to be more informational, allowing the audience to use this information to be as imaginative as possible. …

We’re back on the theme of neurons and talking about how we can fix psychiatric and spectrum disorders through our work at xNeurals. This time we’ll be focusing on neurodegeneration.

Neurodegeneration is defined as, “the progressive atrophy and loss of function of neurons, which is present in neurodegenerative diseases such…

Let’s talk about this amazing therapy called EMDR and how this relates to our work at xNeurals. EMDR therapy is is eye movement desensitization and reprocessing therapy. According to Dr. Arielle Schwartz, “EMDR Therapy changes maladaptive neural networks by connecting the traumatic memory with new information. …

In my two most recent posts, I discussed conditional GANs as well as ResNets and VGG-16/19 in detail. I used a conditional GAN to learn to create images of numbers using the MNIST handwritten data set. The simple GAN I created worked well and was able to learn how to…

How is the Brain is different than a Computer:

To continue from last time, we are taking a different angle, and this time, highlighting the differences between a human brain and a computer brain. Human brains come built with much better “specs” compared to an average computer and are portable…

How the Brain is similar to a Computer:

To start off, they both send signals around their host via electrical signals. The brain sends its signals through the nervous systems at high speeds, however, a bit slower than the speed at which the computer sends signals around using its wires…

Background:

While I want to keep my posts focused on GANs with the goal of explaining full video generation, it is almost impossible to understand modern deep learning without understanding VGG-19 and ResNet. The widespread success of these networks in classification and localization tasks and, moreover, their ability to generalize…

Background on DCGANs

Prior to the advent of GANs convolutional neural networks were one of the most widely researched areas in deep learning. Their widespread success in image classification, segmentation, and localization tasks inspired a wealth of research. I went into more depth in a previous blog post, but to…

xNeurals

We have a passion for Neuroscience.. hands-on interest in applying DeepLearning to model a Hyperactive Brain

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