Chapter 1: Key Terms Flashcards
abducens (VI)
The sixth pair of cranial nerves, which innervate the lateral rectus muscle of the eyeballs.
absolute threshold
The minimum amount of stimulation necessary for a person to detect a stimulus 50% of the time.
Artificial neural networks
referred to as connectionist models, are computational methods that consist of networks of nodes with weighted connections between them. Connection weights increase and decrease following experience in ways that resemble organized biological networks.
Bayesian models
Theoretical and/or computational models that employ Bayesian statistical methods to generate an internal model of the source of sensory inputs based upon prior experience.
blood oxygen level-dependent (BOLD) signal
the ratio of oxygenated to deoxygenated hemoglobin that permits the localization of brain neuron’s that are most involved in a task.
computational models
the use of mathematical language and equations to describe steps in psychological and/or neural processes (often implemented by a computer).
cranial nerves
twelve pairs of nerves (one for each side of the body) that originate in the brain stem and reach sense organs and muscles through openings in the skull.
criterion
In reference to signal detection theory, an internal threshold that is set by the observer.
If the internal response is above criterion, the observer gives one response (“yes I hear that”).
Below criterion, the observer gives another response (“No, I hear nothing”).
cross-modality matching
The ability to match the intensities of sensations that come from different sensory modalities. This ability allows insight to sensory differences.
For example, a listener might adjust brightness of a light until it matches the loudness of a tone.
deep nueral networks (DNN)
A type of machine learning in artificial intelligence in which a computer is programmed to learn something (here object recognition).
These are artificial neural networks that have a large number of layers of nodes with millions of connections. First the network is “trained” using input for which the answer is known (“that is a cow”). Subsequently, the network can provide answers from input it has never seen before.
doctrine of specific nerve energies
A doctrine formulated by Johannes Muller, stating that the nature of sensation depends on which sensory fibres are stimulated, rather than how they are stimulated.
dualism
The idea that the mind has an existence separate from the material world of the body.
Efficient coding models
Theoretical and/or computational models that explain neural processing by assuming that the sensory systems become tied to predictability in natural environments in ways that economically encode predictable sensory inputs while highlighting inputs that are less predictable.
electroencephalography (EEG)
A technique that, using electrodes on the scalp, measures electrical activity from populations of many nuerons in the brain.
event-related potential (ERP)
A measure of electrical activity from a subpopulation of nuerons in response to particular stimuli that requires averaging many EEG recordings.
Fechner’s law
A principle describing the relationship between stimulus and resulting sensation that says magnitude of subjective sensation increases proportionally to the logarithm of the stimulus intensity.
functional magnetic resonance imaging (fMRI)
A variant of magnetic resonance imaging that makes it possible to measure localized patterns of activity in the brain.
Activated nuerons provoke increased blood flow, which can be quantified by measuring changes in the response of oxygenated and deoxygenated blood to strong magnetic fields.
magnetic resonance imaging (MRI)
an imaging technology that uses the response of atoms to strong magnetic fields to form images of structures like the brain. The method can be adapted to measure activity in the brain, as well.
just noticeable difference
The smallest detectable difference between two stimuli, or the minimum change in stimulus that enables it to be correctly judged as different from the reference stimulus.
magnitude estimation
A psychophysical method in which the participant assigns values according to the perceived magnitude of stimulus.