PPVK Flashcards
(409 cards)
the ability to detect a stimulus
Sensation
the act of giving meaning to a detected sensation
Perception
any of the very large set of selective processes in the brain
Attention
the form of attention involved when processing is restricted
to a subset of the possible stimuli
Selective attention
decision-based scene analyses that combine prior knowledge with retinal input to generate representations
Visual cognition
minimum amount of stimulation necessary for a person to detect a stimulus 50% of the time
Absolute threshold
the smallest detectable difference between two stimuli, or the minimum change in a stimulus that can be correctly judged as different from a reference stimulus
Just noticeable difference
“the magnitude of subjective sensation increases proportionally to the logarithm of the stimulus intensity”
Fechner’s law
observers’ ability to perceive a signal
sensitivity
observers’ willingness to report a signal
criterion
12 pairs of nerves (one for each side of the body) that originate in the brain stem and reach sense organs and muscles
Cranial nerves
Parts of neuron (added explanation for clarification)
Dendrites – Branch-like structures that receive signals from other neurons and transmit them to the cell body.
Cell Body (Soma) – The main part of the neuron containing the nucleus, which processes incoming signals.
Axon – A long, tube-like structure that carries electrical impulses away from the cell body toward other neurons or muscles.
Myelin Sheath – A fatty layer that covers the axon, insulating it and speeding up signal transmission.
Nodes of Ranvier – Gaps in the myelin sheath that help speed up the transmission of nerve impulses.
Axon Terminals (Synaptic Terminals) – The ends of the axon that release neurotransmitters to communicate with other neurons or target cells.
Schwann cells - support neurons, especially in forming the myelin sheath around axons
A technique that measures electrical activity from populations of many neurons in the brain
Electroencephalography (EEG)
A measure of electrical activity from a subpopulation of neurons in response to particular stimuli that requires averaging many EEG recordings
Event-related potential (ERP)
brain imaging technology that measures changes in magnetic activity across populations of many neurons in the brain; it has the same high temporal resolution as EEG, but better spatial resolution
Magnetoencephalography (MEG)
Brain imaging technology that uses the responses of atoms to strong magnetic fields to measure localized patterns of brain activity
(activated neurons provoke increased blood flow, which can
be quantified by measuring changes of oxygenated and deoxygenated blood to strong magnetic fields)
Functional magnetic resonance imaging (fMRI)
Name of signal measured for fMRI
blood oxygen level-dependent (BOLD) signal
brain imaging technology that measures the metabolism of brain cells using safe radioactive isotopes
Positron emission tomography (PET)
models that discover structure in sensory input to efficiently encode the world
Efficient coding models
models that make predictions (predictive coding) based on prior knowledge about the world
Bayesian models
models that simulate biological neurons with layers of input units massively interconnected with output units that can excite or inhibit each other
Artificial neural networks
artificial neural networks with a very large number of layers of nodes with millions of connections between the input and output layers
Deep neural nets (DNNs)
involuntary capture of attention
Exogenous attention (bottom-up, stimulus-driven)
ability to shift attention in a voluntary manner, based on our top-down goals, such that we can seek out a particular target in a cluttered environment or maintain attention on an object in the face of distraction
Endogenous attention (top-down)