Parallel processing (psychology)

[1] Parallel processing is associated with the visual system in that the brain divides what it sees into four components: color, motion, shape, and depth.

These are individually analyzed and then compared to stored memories, which helps the brain identify what you are viewing.

[8] Parallel Distributed Processing Models are neurally inspired, emulating the organisational structure of nervous systems of living organisms.

Parallel processing models assume that information is represented in the brain using patterns of activation.

Information processing encompasses the interactions of neuron-like units linked by synapse-like connections.

[12] However, there are concerns about the efficiency of parallel processing models in case of complex tasks which are discussed ahead in this article.

The pattern of activation is represented using a vector of N real numbers, over the set of processing units.

In PDP models, the environment is represented as a time-varying stochastic function over the space of input patterns.

[9] An example of the PDP model is illustrated in Rumelhart's book 'Parallel Distributed Processing' of individuals who live in the same neighborhood and are part of different gangs.

Other information is also included, such as their names, age group, marital status, and occupations within their respective gangs.

This sense is present at birth in humans and some animals, such as cats, dogs, owls, and monkeys.

Although the plexiglass was safe to climb on, the infants refused to cross over due to the perception of a visual cliff.

Binocular cues are made by humans' two eyes, which are subconsciously compared to calculate distance.

[16] This idea of two separate images is used by 3-D and VR filmmakers to give two dimensional footage the element of depth.

[15] Each hint helps to establish small facts about a scene that work together to form a perception of depth.