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The Blue Brain Project Showcase likewise illustrates how models and data from the Blue Brain Project can be converted to NeuroML and PyNN (Python neuronal network models). [5] The Brain Simulation Platform (BSP) is an internet-accessible open collaboration platform for brain simulation, created by the Human Brain Project. [35]
It consists of 2.5 million simulated neurons organized into subsystems that resemble specific brain regions, such as the prefrontal cortex, basal ganglia, and thalamus. It can recognize numbers, remember them, figure out numeric sequences, and even write them down with a robotic arm. [2] [3] It is implemented using Nengo.
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
An artificial brain (or artificial mind) is software and hardware with cognitive abilities similar to those of the animal or human brain. [1] Research investigating "artificial brains" and brain emulation plays three important roles in science: An ongoing attempt by neuroscientists to understand how the human brain works, known as cognitive ...
Neuron is a simulation environment for modeling individual and networks of neurons. It was primarily developed by Michael Hines, John W. Moore , and Ted Carnevale at Yale and Duke . Neuron models individual neurons via the use of sections that are automatically subdivided into individual compartments, instead of requiring the user to manually ...
Dynamic causal modeling (DCM) is a framework for specifying models, fitting them to data and comparing their evidence using Bayesian model comparison.It uses nonlinear state-space models in continuous time, specified using stochastic or ordinary differential equations.
In psychology, the term mental models is sometimes used to refer to mental representations or mental simulation generally. The concepts of schema and conceptual models are cognitively adjacent. Elsewhere, it is used to refer to the "mental model" theory of reasoning developed by Philip Johnson-Laird and Ruth M. J. Byrne.
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