krCognitive Neuro Flashcards
Pros and Cons of EEG
Amazing temporal resolution but horrible spatial resolution
Pros and Cons of fMRI
low spatial resolution (relatively) but bad temporal resolution. very human-friendly.
PET
horrible spatial and temporal resolution (worse than fMRI)
single-unit recordings
great spatial and temporal resolution but poor brain coverage since you can only record from a given brain region.
Difference between extracellular and intracellular single-neuron recording
microelectrode is placed outside, somewhere in the vicinity of a neuron in extracellular. micro electrode is inserted into axon and can directly record in intracellular, but will damage the cell.
Difference between aspiration and excitotoxic lesion
Aspiration Lesions removes whole tissues. Strength of this is that it is a complete removal, but con is it may damage fibers of passage, affecting other brain functions.
Excitotoxic lesions selectively kills cells and spare fibers of passage.
Difference between Ventral and Dorsal Stream
Ventral: the “what.” object recognition pathway and visual perception. Involved in the identification and recognition of objects and shapes.
Dorsal: the “where and how” pathway. responsible for spatial awareness, motion perception, and coordination and guiding motor actions.
Explain the Middle Temporal Area’s role in motion perception and how it is organized.
MT has columnar organization for motion direction and depth. MT is part of dorsal stream.MT neurons have direction selectivity, meaning they are particularly responsive to motino in specific directions (preferred direction). The neurons are organized in columns, where each column corresponds to a particular direction of motion. The columnar structure shows clusters of neighboring neurons sharing receptive fields with a similar preferred direction motion.
What is the task design for the random dot motion discrimination task?
Monkeys are first required to maintain fixation on a small spot of light. Then, a motion stimulus turned on (different correlations of where dots were moving towards neuron’s preferred direction). Next, two saccade targets appeared and monkeys had to make an eye movement to where they think the direction of motion was.
What does the psychometric curve tell us in the random dot discrimination task?
The X axis measures the correlation (how easy it was to detect motion direction of stimuli) and then Y axis shows us the proportion of correct decisions. The graph makes sense as the higher correlation (more dots are obviously going towards one direction), the easier it is to make a saccade to the correct target.
What is the ROC curve and how is it connect to a neurometric function? What do these two tell us about the random dot discrimination task?
The ROC represents the relationship between correctly identifying preferred direction trials (hit rate) and incorrectly identifying anti-preferred direction trials (false alarm rate), measuring the rate at which the monkey actually guesses correctly.
By taking the area of the curse of each ROC curve (the proportion correct), we can get the dots for the neurometric function. Comparing this to the psychometric (behavioral) graph lets us know how good that singular neuron is at predicting perceived motion (if psychometric and neurometric graphs match up, very good)
Understand how the evidence leads to the abstract concept-like representation of the human MTL cells.
The Medial Temporal Lobe is associated with memory and recognition of certain objects. In a specific study, neurons only fired to specific celebrity faces (even in different backgrounds), suggesting we have a concept of specific individuals and places. Neurons in the MTL respond selectively to these faces and places.
We also found invariant face neurons that responded to an identify of different faces, which suggest some neurons encode a more abstract representation of facial identity.
how do we perceive faces?
In this study, shows monkeys many images of faces missing different attributes and measured how face cells in the inferior temporal cortex (IT) fired. Tells us that face cells encode combination of dimensions relevant to perceiving face and different groups of neurons were selective for specific facial features.
The inherent confounders of stimuli for numerical cognition study
Issues such as space, density, and size make it difficult to accurately measure numeric abilities.
Say you want the stimuli to be same size and you’re testing 4 and 8, the problem then becomes you’re stimulating a lot more visual processing in the 8 condition than the 4 condition (8 takes up more area). But if you want to match the same cumulative area, there is still a different overall-area in the 8 because otherwise, the stimuli will be clustered together. if you want the same overall stimulation area for 4 and 8, but you have to make the area for 8 much smaller .. now results in different density
Numerical cognition: How the number was dissociated from other quantity specificity and what was the result?
In a study looking at the Intraparietal Sulcus (IPS) and numerical cognition, they tested different modalities (presenting visual, auditory, etc. stimuli) to make sure the brain was responding to just number-based stimuli.
Results showed that activation of areas were most pronounced for numbers, no matter the modality (as compared to colors and letters). This lets us conclude that IPS is strongly connected to number cognition!
Furthermore, when participants were asked to do simply subtractions (compared to just naming numbers), they found activation in parietal areas and some in prefrontal areas.