What are the networks of attention?

What are the networks of attention?

Attention network

• Dorsal attention network, a network of brain regions involved in control of attention.
• Ventral attention network, a network of brain regions involved in detection of stimuli.
• Artificial neural networks used for attention (machine learning)

How do attentional networks work?

These networks carry out the specific functions of developing and maintaining the alert state, orienting to sensory input, and executive control. Damage to these networks or their chemical neuromodulators can produce specific neurological and psychiatric deficits.

What is the attention network in the brain?

The brain’s executive attention network involves the anterior cingulate and anterior insula (operculum) [1**] and is called cingulo-opercular network in fMRI studies [5**]. The executive network is involved in error detection, resolving conflict and other aspects of performance [5**, 6, 7].

What are the different types of attention?

There are four different types of attention: selective, or a focus on one thing at a time; divided, or a focus on two events at once; sustained, or a focus for a long period of time; and executive, or a focus on completing steps to achieve a goal.

What does the ventral attention network do?

The ventral attention network (VAN) is one of two sensory orienting systems in the human brain, the other being the dorsal attention network (DAN). Its main function is to reorient attention towards salient stimuli. The VAN is considered to be involved mostly, if not entirely, in involuntary actions.

What is the attention Network Test?

The Attention Network Test (ANT; Fan et al., 2002). The ANT is an individually administered computer-based test that provides measures of the alerting, orienting, and executive attention networks within a single task.

Where is the orienting attention network?

The orienting response is considered a product of a distributed neural network, which includes the frontal eye fields (Wardak et al., 2006), the superior parietal lobe and temporal–parietal junction (Fuentes and Campoy, 2008), superior colliculus, and the pulvinar nucleus of the thalamus (Shipp, 2004).

What are the three characteristics of attention?

There are three aspects of attention: Our mental life is a stream of consciousness. We do not attend to all those incidents; facts go on at the same time. We select one out of them.

What are the dorsal and ventral attention networks and what did they teach us about attention?

Broadly speaking, a dorsal frontoparietal system was proposed to mediate the top-down guided voluntary allocation of attention to locations or features, whereas a ventral frontoparietal system was assumed to be involved in detecting unattended or unexpected stimuli and triggering shifts of attention.

What does the frontoparietal network do?

The frontoparietal network is a control network, distinct from the salience and cingulo-opercular networks, serving to rapidly and instantiate new task states by flexibly interacting with other control and processing networks.

What are attention based models?

Attention-based models belong to a class of models commonly called sequence-to-sequence models. The aim of these models, as name suggests, it to produce an output sequence given an input sequence which are, in general, of different lengths.

What is Seq2Seq model used for?

A Seq2Seq model is a model that takes a sequence of items (words, letters, time series, etc) and outputs another sequence of items. In the case of Neural Machine Translation, the input is a series of words, and the output is the translated series of words.

Who developed the attention Network test?

The Attention Network Task (ANT) was developed by Jin Fan, Michael Posner, and colleagues at the Sackler Institute for Developmental Psychobiology. Using subtractive methodology, the ANT is designed to assess each of these three attentional networks using a single reaction-time paradigm.

What are the different theories of attention?

Divided Attention Theories The research suggests that there are three main factors that impact dual-task performance: 1) how similar the tasks are to one another; 2) how much the subject has practiced the task; and 3) how difficult the tasks are (Anderson, 1995).