cognitive neuroscience Flashcards
models
representations of structures or processes that help us simplify, visualise or explain structures or processes
structural
represent strucutres in the brain involved with specific functions
useful for localisation and visualisation
processes
represent how a process operates
neurons
cells specialised to create, receive and transmit information in the nervous system
nerve nets
early concepts of neurons
continuously interconnected neurons
allows non-stop uninterrupted communication of signals
staining techniques and mucroscopes could not see small enough details so appeared continuous
neuron doctrine
contradicted nerve nets
found nerve nets not continuous
individuals units connected that transmit signals
principle of neural representation
everything a person experiences is not based on direct contact with stimulus but on representations in the nervous system
despite all action potentials being the same
so inputs need to be differentiated
feature detectors
neurons that respond best to a specific stimulus
discovered by Hubel and Wiesel
Hubel and Weisel
each neuron in visual area of cortex responses to a specific type of stimulation
different type of stimulus cause different neurons in cats visual cortex to fire
multiple feature detectors represent different aspects of objects
synapse
space between axon of one neuron and dendrite of antoher
action potential reaches end of axon, synaptic vesicles open and release neurotransmitters
synaptic transmission is biochemical
neurotransmitters
chemicals that affect the electrical signal of the receiving neuron, cross the synapse and bind with receiving dendrites
hierarchical processing
progression from lower to higher areas of the brain
neurons respond to simple stimuli and send their icons to higher levels which respond to more complex stimuli
sent to higher levels where signals combine and interact to respond
when we perceive language, we do so in a specific order that moves from lower to higher areas of the brain
eg spoken language comprehension
sensory coding
how neurons represent various characteristics of the environment
specificity coding
population coding
sparse coding
specificity coding
representation of a stimulus by the firing of specifically tuned neurons specialised to respond to only a specific stimulus
population coding
representation of a stimulus by the pattern of firing of many neurons
sparse coding
representation of a stimulus by a pattern of firing of only a small group of neurons, with most neurons remaining silent
localisation of function
specific functions served by specific areas of the brain
most cognitive functions served by cerebral cortex
cognitive function declines in specific ways when specific areas are damaged