Lecture 1 - Methods in Cognitive Neuroscience Flashcards
What is single cell recording?
- Small electrode planted into axon (INTRACELLULAR) or outside axon membrane (EXTRACELLULAR).
- Firing rate and pattern of single receptor cell can be measured in response to sensory input
- Recordings of brain activities, measuring electrical potentials of nearby neurons
How does an EEG work? (electroencephalogram)
- Positions electrodes over the scalp to show the brain’s electrical activity.
- Measures amount of activity caused by stimulus or event
- Voltage change at the scalp: how many neurons fire and how synchronous firing is.
What is rate coding?
Rate of firing - Informational content of a neuron related to the number of action potentials per second
What is temporal coding?
How synchronous firing is
What is a reference point?
Part of the brain used to compare if something is in motion. Uninfluenced by variable / event being measured.
What is a common reference point?
Mastoid bone behind ears or nasal reference - often uninfluenced.
Why is EEG not always best equipped for detecting location?
Neural activity can be recorded at a location even when neural activity isn’t at that location - can show firings in multiple areas (also signal to noise)
What is a dipole?
A pair of positive and negative electrical charges separated by a small distance
What is polarity?
Distribution of electrical charges across neurons and their connections. Direction of the electrical current flow.
By manipulating the polarity of electrical stimulation - investigate how brain regions are involved in cognitive processes.
Positive polarity
High electrical charge at the electrode compared to reference point
Negative polarity
Low electrical charge at electrode compared to reference
How does an ERP (event related potentials) differ from an EEG?
ERP = SPECIFIC brain response to a stimulus
EEG reflects neural activity from all parts of the brain. Some activity relates to specific tasks - reading or listening but a lot of the activity from EEG is spontaneous
Signal to noise ratio
Signal = electrical neural response to the event
Noise = background level of electrical activity
It becomes harder to detect a signal as background noise increases
- Seen in EEG’s
What do EEG signals represent?
The changes in potentials between two electrodes
How do EEG’s form ERP’s?
EEG’s obtained on several trials are averaged to form an ERP. This increases signal to noise ratio and reduces contribution of fluctuations not related to the event