Medical Images Computing
Medical

Medical Images Computing

The principle goal of medical images computing is to extract clinically relevant information or know-how from medical pictures. Medical images computing is an interdisciplinary field…
Feature Integration Theory
Other

Feature Integration Theory

Function integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that shows that when perceiving the stimulus, features…
Neural Coding
Biology

Neural Coding

Neural coding is a neuroscience-related field related to characterizing the relationship between stimulus and the average person or ensemble neuronal responses as well as the…
Articulatory Phonetics
Biology

Articulatory Phonetics

The particular field of articulatory phonetics is often a subfield of phonetics. With studying articulation, phoneticians clarify how humans develop speech sounds by means of…
Articulatory Synthesis
Biology

Articulatory Synthesis

Articulatory synthesis is the term for computational techniques intended for synthesizing speech depending on models of the particular human vocal tract and also the articulation…
Neurocomputational Speech Processing
Biology

Neurocomputational Speech Processing

Neurocomputational speech processing is computer-simulation associated with speech production along with speech perception by mentioning the natural neuronal functions of speech production and speech notion,…
Multisensory Integration
Biology

Multisensory Integration

Multisensory integration also relates to how different sensory modalities interact collectively and alter each other’s processing. Multisensory integration, also referred to as multimodal integration, will…
Sensory Neuroscience
Biology

Sensory Neuroscience

A standard experiment in sensory neuroscience involves the presentation of a few relevant stimuli to an experimental subject as move the subject’s brain has monitored.…
Biology Monte Carlo Method
Biology

Biology Monte Carlo Method

Biology Monte Carlo Method is dependant on two methodologies, namely the Boltzmann transport Monte Carlo (BTMC) as well as particle-particle-particle-mesh (P3M). The initial one uses…
Genetic Algorithm
Mathematic

Genetic Algorithm

the genetic algorithm is a search heuristic that mimics the process of natural choice. This heuristic is routinely employed to generate useful solutions to optimization…
Morris method
Mathematic

Morris method

The Morris method for global sensitivity analysis is a so-called one-step-at-a-time procedure (OAT), meaning that with each run one input parameter is given a fresh…
Monte Carlo Method
Mathematic

Monte Carlo Method

Monte Carlo method are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are used in physical…
Load More