Methods and the Brain Flashcards
Dependent variable
The variable that is measured in the experiment
Independent variable
The variable that is manipulated in the experiment
Confounding Factors
Uncontrolled variables that could also influence the
dependent variable. Should be kept constant across manipulations
Statistical significance
If it is sufficiently unlikely that a result occurred by chance (< 5%), the IV is said to have a “statistically significant” effect on the DB; describes how reliable an effect is, not how large it is
Statistical test to determine if something is statistically significant
Mean/variance
Factorial design
An efficient way to combine variables — you perform all
combinations of manipulations; possible results are main effect and interaction
Main effect
The effect of one IV on the DV, ignoring all other IVs
Interaction
When the effect of one IV on the DV depends on the level of the other IV
Marr’s 3 levels of analysis
- Computational (broadest)
- Algorithmic (intermediate)
- Implementation (specific)
Computational
What is the purpose?
Algorithmic
How does it work?
Implementation
Physical processes behind it
How does understanding how the brain supports cognition at an implementation level give insights into how cognition works at computational and algorithmic levels?
- If two cognitive abilities are neurally independent, we can assume that they are cognitively independent
- Long-standing cognitive debates often can’t be resolved with behaviour alone — sometime neural findings show that both theories are right, just
implemented in different parts of the brain! - Discoveries in the brain can give us new clues about how cognition works
Materalist/physicalist philosophy
Argues that “the mind is what the brain does” - mental states can be generated in so many ways. We can only understand how human mental states work by knowing how they are generated by the brain
Dualist philosophy
Mind and the brain are two separate entities and biology can’t explain how the mind works
What do some materialists argue that opposes the view that we need to fully understand the brain to understand the mind?
That the mind is best explained at computational
and algorithmic levels; the implementation level is too reductionist
Arguments against reductionism
Higher levels of analysis may emerge but not be fully explained by lower levels - we might not be able to build up from those very basic concepts and they might not even be relevant to the problems we want to solve
Santiago Cajal
Discovered neurons
Neural Doctrine
- Neurons are the basic units (cells) of the brain
- Neurons contain cell bodies, dendrites and
axons - Neurons communicate via synapses, not
physical connections - Neurons are connected in circuits, not
randomly
Resting potential
Difference in the electrical charge between the inside and outside of an axon: -70mV
Action potential
- APs travelling along an axon maintain the same
amplitude; you can’t have a big or small AP - APs trigger the release of neurotransmitters
from the axon terminals -> can excite dendrites
of other neurons
What triggers an action potential?
When neuron is excited, the membrane
potential increases; if it reaches -55mV an
Action Potential (AP) is triggered
Strength of a sensation
Proportional to the rate of neural firing
Qualities of an experience or thought are related to _____
which neurons fire
Feature Detectors
Neurons identified in primary visual cortex (V1) that respond to specific visual features, such as orientation, size, or the more complex features that make up environmental stimuli.
Blakesmore and Cooper’s experiment on how experience shapes perception and the brain
Kittens raised in vertical striped environments only
perceive vertical lines + only have feature detectors for
vertical lines