Preparation for Informal Chat

Question 1

Paper I read to him was called

Answer 1

Pattern of neural responses in face regions are predicted by low-level image properities (2018)

Question 2

In 2018 Paper

neural models of face processing by Haxby et al showed that diiferent regions are involved in processing different info from face - what regions? (3)

Answer 2

• Occipital face area (OFA)
• Fusiform face area (FFA)
• Superior temporal sulcus (STS)

Question 3

In 2018 Paper

connection from OFA and STS is to due with

Answer 3

dynamic changes in face (e.g., expression)

Question 4

In 2018 paper
connection of OFA and FFA is to do with

Answer 4

invariant (not-changing) features of face (e.g., identity)

Question 5

In 2018 paper
evidence supporting OFA, FFA, STS is important for high-level attributes (e.g., identity and expression)
but this paper wanted to investigate whether

Answer 5

low-level properities (e.g., viewpoint) can explain the topographical organisation of these face regions

Question 6

In 2018, experiment 1 involved

Answer 6

3 different viewpoints of familiar celeb faces

Question 7

In 2018, experiment 2 involved

Answer 7

3 different viewpoints of different unfamiliar identities with 3 expressions = happy, disgust, fear

Question 8

What was the conclusion of the 2018 paper?

Answer 8

Face region not exclusively dealing with high-level attributes but low level as well (image representation)

Question 9

in fMRI, more blood flow to the part of the brain that is

Answer 9

most active

Question 10

in fMRI we can measure the BOLD signal which stands for … to measure - (2)

Answer 10

Blood 02 Level Dependent
changes in oxygenation

Question 11

Whole region of the brain is decided up into vowels (units of 3D image of brian) which represent

Answer 11

groups of neurons and its gross energy

Question 12

What happens in univarate analysis for an fMRI experiment if we expose participants to face stimuli?

Answer 12

• We measuring the BOLD signla at each vowel in fMRI experiment
• Design metrics of the experiment is x (e.g., time duration of [facial] stimuli) and y is the BOLD signal of a voxel
• Put through regression model and get beta value of each voxel (how much is relation between x and y [ e.g, voxel ha shigh beta value when seeing face)

Question 13

What happens in MVPA? - (3)

Answer 13

• Not looking at one voxel at the time
• Looking at a pattern of activation in cluster of voxels
• You train a classifer and then validate (e.g,, check if it can classify identity given a pattern of voxel)

Question 14

What does MVPA stand for?

Answer 14

Multivoxel Pattern Analysis

Question 15

Due to the curvature of the retina, left visual field…

Answer 15

stimulate right eye etc..

Question 16

The optic nerve spilts into 2 parts - (2)

Answer 16

temporal (travels along ipislateral - same side)
nasal (crosses to project on contralateral side

Question 17

Neurons in right part of retina project to thr right

Answer 17

LGN and right V1

Question 18

My experience:
advanced statistic course

Answer 18

Learned advanced statistics in R & SPSS like Poission /Logistic Regression, Meditation, Moderation, Tests of association

Question 19

My experience:
Models of brain function

Answer 19

Learned computational neuroscience models and had MATLAB stimulations of them

Question 20

My experience:
Final Dissertation Project - (6)

Answer 20

Prediction of SiN Performance Using Non-Speech Stimuli

SiN tests problem - only used in children

Recruited participants - did psychopsychic tests like PTA

The SFG consisted of a set of constant frequencies (figure) against a ‘background’ of random
frequency tones.

Did harmonic and dynamic version of SFG that resmebled speech more

Analysed data in R/MATLAB pearson correlational amalysis

Question 21

Question is do i require any

Answer 21

training before assisting on any projects in your lab

Question 22

I would love to take part in fMRI anlaysis specifically

Answer 22

such as univarate analysis as well as MVPA analysis and data collection

Question 23

Completely fascinated by fMRI as I took part in a study

Answer 23

in university of iowa

Question 24

Prefer fMRI than EEG as

Answer 24

it has better spatial resolution and knows what areas are active

Question 25

Tell us about yourself - (3)

Answer 25

• Recently graduated from Newcastle University
• Where i acquired experience in conducting advanced statistical tests in R and SPSS, acquired RA experience as well as conducted my final dissertation project wirh Dr Griffiths on auditory perception
• Ever since learning about visual perception in undergrad as well as in neuroimagining of vision and taking part in fMRI, i am completely fascinated in gaining some experience in this field of research