Neurosecurity is an emerging field that focuses on the protection of neural data and the safeguarding of brain-computer interfaces (BCIs), neurotechnology, and cognitive functions from unauthorized access and malicious activities. As neuroscience and technology continue to advance, particularly in the development of BCIs, neurosecurity addresses various concerns related to privacy, ethics, and security in neurotechnological applications.
Ogi Ogas is a neuroscientist and author, known for his work on topics related to neuroscience, artificial intelligence, and behavior. He has co-authored several books, including "A Billion Wicked Thoughts," which explores the sexual preferences of men and women using data from online behavior. Ogas has been involved in research that examines how the brain processes information and how this knowledge can be applied to understand human behavior, including aspects related to sexual attraction and decision-making.
The spike-triggered average (STA) is a method used in computational neuroscience to characterize the relationship between neuronal spike train activity and sensory stimuli. It involves analyzing how specific inputs or stimuli relate to the output of a neuron, particularly the times at which the neuron fires action potentials (or spikes). Here's how it works, step by step: 1. **Data Collection:** A neuron's spiking activity is recorded alongside a sensory stimulus (such as a visual or auditory signal).
Merge sort is a classic, efficient, and stable sorting algorithm that follows the divide-and-conquer strategy. It was invented by John von Neumann in 1945. Here's a breakdown of how it works: ### Key Concepts: 1. **Divide:** - The input array is divided into two halves. This process continues recursively until each subarray has one or zero elements, at which point they can be considered sorted.
The Wilson–Cowan model is a mathematical framework used to describe the dynamics of neural populations in the brain. Developed by the neuroscientists Hugh R. Wilson and Jack D. Cowan in the 1970s, this model provides insights into the interaction between excitatory and inhibitory neuronal populations.
Quicksort is a highly efficient sorting algorithm and is based on the partitioning principle. It was developed by the British computer scientist Tony Hoare in 1960. Quicksort is widely used for its efficiency and is particularly effective for large datasets. The algorithm follows a divide-and-conquer strategy, which can be broken down into the following steps: 1. **Choose a Pivot**: Select an element from the array to serve as the pivot.
Berger code is a method used in computer science and data encoding, specifically in the context of information theory and coding theory. It is a type of code used for the efficient representation of data in a way that minimizes the number of bits required to represent information, particularly for certain types of data structures like trees or binary data. The basic idea behind Berger coding is to create a unique encoding for each possible configuration of a dataset, allowing for efficient storage and retrieval of information.
NSynth, short for Neural Synthesizer, is a deep learning-based music synthesis project developed by Google’s Brain Team. It leverages neural networks to generate new sounds by analyzing and combining the characteristics of various musical instruments and sounds. The primary goal of NSynth is to create new and unique audio samples that go beyond traditional sound synthesis methods.
An **alternant code** is a type of linear error-correcting code that is particularly used in coding theory. Alternant codes are a subclass of algebraic codes that are constructed using properties of polynomial evaluations and are designed to correct multiple symbol errors.
BCH (Bose–Chaudhuri–Hocquenghem) codes are a class of error-correcting codes that are used in digital communication and storage to detect and correct multiple random error patterns in data. These codes are named after the three researchers who developed them in the 1960s: Raj Chandra Bose, Alexis Hocquenghem, and D. R. McEliece, who contributed to their understanding and application.
A diffusion model is a type of probabilistic model used to describe the spread of information, behaviors, or innovations through a population over time. It essentially captures how new ideas or technologies become adopted and diffused among individuals within a social network or community. Diffusion models have applications in various fields, such as marketing, sociology, epidemiology, and physics.
A light beam is a stream of light particles, or photons, that travel in a specific direction. This phenomenon is often described in terms of optics and physics. Light beams can vary widely in terms of their intensity, wavelength (color), and coherence. Here are a few key characteristics of light beams: 1. **Directionality**: A light beam typically travels in a straight line. This is particularly true in a vacuum or in a homogeneous medium where there are no obstacles.
The term "unique negative dimension" is not widely recognized in mainstream mathematics or science, and it does not refer to a standard concept. However, it might be a term used in specific contexts, such as theoretical physics, cosmology, or certain branches of advanced mathematics. In some theoretical frameworks, particularly in string theory and other advanced theories in physics, dimensions can behave in unconventional ways. Dimensions are typically considered as quantities that describe the spatial or temporal extent of an object or universe.
The term "Shattered set" can refer to different concepts depending on the context. Here are a couple of possibilities: 1. **Mathematics/Set Theory**: In set theory, a "shattered set" might refer to a collection of points or a subset of data that can be divided into various combinations.
Author profiling is the process of determining the characteristics, traits, or demographic information of an author based on their writing samples. This can involve analyzing various aspects of their writing style, language use, vocabulary, topics of interest, and more. The goal is to create a profile that provides insights into the author's background, personality, demographics, or other relevant information.
Computational neurogenetic modeling is an interdisciplinary approach that combines principles from computational modeling, neuroscience, and genetics to understand the relationships between genetic factors, neural mechanisms, and behavior. This field seeks to integrate genetic data with computational models of neural systems to investigate how variations in genes influence neural function and, consequently, behavior and cognitive processes.
A fractal is a complex geometric shape that can be split into parts, each of which is a reduced-scale copy of the whole. This property is known as self-similarity. Fractals are often found in nature, such as in the branching patterns of trees, the structure of snowflakes, and the contours of coastlines. Key characteristics of fractals include: 1. **Self-Similarity**: Fractals exhibit a repeating structure at different scales.
Museum informatics is an interdisciplinary field that deals with the application of information technology and data management practices within museums and similar cultural institutions. It encompasses the organization, storage, retrieval, and dissemination of information related to museum collections, exhibitions, and educational programs. Here are some key aspects of museum informatics: 1. **Digital Collections Management**: Implementing systems for cataloging and managing digital representations of museum collections, including digitization of artifacts, artworks, and documents.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





