Neuroinformatics

[7] Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof.

In November 2007,[10] the project reported the end of its first phase, delivering a data-driven process for creating, validating, and researching the neocortical column.

An artificial neural network described as being "as big and as complex as half of a mouse brain"[11] was run on an IBM Blue Gene supercomputer by the University of Nevada's research team in 2007.

[12] Mind uploading is the process of scanning a physical structure of the brain accurately enough to create an emulation of the mental state (including long-term memory and "self") and copying it to a computer in a digital form.

[16] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but say they are still in the realm of engineering possibility.

Research on brain–computer interface began in the 1970s at the University of California, Los Angeles under a grant from the National Science Foundation, followed by a contract from DARPA.

Recently, studies in Human-computer interaction through the application of machine learning with statistical temporal features extracted from the frontal lobe, EEG brainwave data has shown high levels of success in classifying mental states (Relaxed, Neutral, Concentrating) mental emotional states (Negative, Neutral, Positive)[19] and thalamocortical dysrhythmia.

An artificial neural network described as being "as big and as complex as half of a mouse brain"[24] was run on an IBM Blue Gene supercomputer by the University of Nevada's research team in 2007.

[25] Mind uploading is the process of scanning a physical structure of the brain accurately enough to create an emulation of the mental state (including long-term memory and "self") and copying it to a computer in a digital form.

[27] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but say they are still in the realm of engineering possibility.

Neuroinformatics (in context of library science) is also devoted to the development of neurobiology knowledge with computational models and analytical tools for sharing, integration, and analysis of experimental data and advancement of theories about the nervous system function.

In the INCF context, this field refers to scientific information about primary experimental data, ontology, metadata, analytical tools, and computational models of the nervous system.

The primary data includes experiments and experimental conditions concerning the genomic, molecular, structural, cellular, networks, systems and behavioural level, in all species and preparations in both the normal and disordered states.

[29] This positive report enabled NIMH, now directed by Allan Leshner, to create the "Human Brain Project" (HBP), with the first grants awarded in 1993.

Next, Koslow pursued the globalization of the HPG and neuroinformatics through the European Union and the Office for Economic Co-operation and Development (OECD), Paris, France.

In 2006 the INCF was created and its central office established and set into operation at the Karolinska Institute, Stockholm, Sweden under the leadership of Sten Grillner.

The more general task of INCF is to provide conditions for developing convenient and flexible applications for neuroscience laboratories in order to improve our knowledge about the human brain and its disorders.

Diagram of the BCI developed by Miguel Nicolelis and colleagues for use on rhesus monkeys
Schematic illustration of digital tracing of a neuron's morphology