Lec 4/ TB Ch 8 Reading section Flashcards
- Lec
- Cambridge university effect
- Transpose-letter effects in English
- identity prime RT
- swapped 1 letter prime RT
- unrelated prime RT
- Conclusion
- Issue & Hebrew replication
- Cambridge university effect: As long as we don’t mess up the first and last letter, we can still read things
Transpose-letter effects in English
Perea-Lupker 2004
- Perceive w/ identity priming -> target word -> fastest RT
- swapped 1 letter prime -> target word -> also fast RT
- Unrelated primes -> target word -> Slow RT
- Conclusion:
- Identity and swapped 1 letter prime are comparable
- Many think hardwire “fuzzy” letter-position coding/ Cambridge uni effect explains transpose letter effect
- Issue: Cambridge university effect does not apply in Hebrew
- Replicating exactly the same manipulation, Hebrew readers are dramatically impaired compared to English Readers
- Transposed prime -> way slower RT
- Disputes hardwire “fuzzy” letter-position coding
- Lec
- What causes variability transpose letter effect across languages?
- “Stats of language”
- English: diff words = ?
- Hebrew: diff words = ?
What causes variability transpose letter effect across languages?
- Null: Transpose letter effects - Disputes hardwire “fuzzy” letter-position coding
- Alt: Transpose-letter effects are an emergent behavior
- Related to lower lv processing, which interacts w/ language learning system (each language system has diff stat properties.)
“Stats of language” Study
- Indo-European Languages (Eng)
- Many words are constructed by arbitrarily combining sets of phonemes/letters, with little constraint on which phonemes/letters are combined.
- Different Words = Different Sets of Letters
- Semitic Languages:
- Many words are formed by interleaving a set of letters/phonemes with three root consonants.
- Thus, many words share the same letters but in different orders.
- Different Words = Same Letters, Different Orders
- Thus, English need to know the letters
- Hebrew: Order matters
- Lec
- Hebrew study
- Method
- 2 inputs
- 1 output
- Results
- Reason
- the general importance of the experiment, how it relates to language, and what are the main results
- 1Method: teach computer model “English” and Hebrew language system
- Input: the letters, letter positions
- Output: semantics (same b/w English and Hebrew)
- Results: English show stronger TL priming effect
- Hebrew language pay more attention to position of letters in their language
- Lec
- What drives the trasposition letter effect (Eng is stronger than Hebrew?) → 2 reasons
- What drives the trasposition letter effect (Eng is stronger than Hebrew?)
- 1 Hebrews have more anagrams than English to begin with
- 2 Word length confound among studies
- Most studies
- English studies: used longer words
- Hebrew: used shorter words
- Most studies
Speed read myth or truth
- Which of the following is true vs. false?
- Take in more information at a time. -> ?
- Eliminate subvocalization -> ?
- Eliminate regressive eye movements -> ?
* Garden Path sentences
- Eliminate regressive eye movements -> ?
- Eliminate Eye Movements by presenting all words at the same location → ?
- Provide reason
- Solution
Speed read myth or truth
- Which of the following is true vs. false?
- Take in more information at a time. -> False
- Eliminate subvocalization -> False
- Eliminate regressive eye movements -> False
- Eliminate Eye Movements by presenting all words at the same location
- Myth 1: False
- Constrained by our eyes (Fovea)
- Myth 2: False
- Subvocalization lets us map spelling onto sound, one of the earliest developing and most practiced language systems.
- Subvocalization helps us speed it up
- As we have seen, the brain tries to leverage lots of constraints to help reading. This proposal should, therefore IMPAIR Reading.
- Myth 3: False
- Critical to understanding Garden Path sentences:
- “The old man the boat”
- Need to reread -> revise this meaning
- Myth 4: Mostly False
- For short bursts, RSVP allows reading to occur at over 2x standard reading speeds
- However:
- Very fatiguing
- (can’t go back and re-read)
- Fails to capitalize on flexibility of the reading system to regress, slow down for low frequency words, skip short function words (e.g., “the”, “a”, etc.)
- Best Way: Read a lot of new and varied material.
- Local combination detector (LCD) Model (hierarchy of feature detectors)
- Lv 1-7
- Location
- What it detects
- Evidence: more complex stimuli → ??
Hierarchical coding of letter strings in the ventral occipitotemporal cortex
Local combination detector (LCD) Model (hierarchy of feature detectors)
Upper lv -> larger receptive field
- Level 1 - Location: LGN (thalamus)
- detect simple stimuli on a specific location in the visual field
- Level 2 – V1/PVC
- detect line orientations
- Receive LGN stimuli
- Level 3 – V2
- detect contours
- Receive V1 stimuli
- Level 4 – V4 (ventral occipital region)
- Process color, shape
- Maybe case/font
- Level 5 – V8 (ventral occipital region)
- Abstract letter
- Can detect size and location?
- Level 6 – left OTS (occipitotemporal sulcus)
- Detect 2 letter sequences (ex. EN)
- Level 7 – Left OTS
- Detect 4 letters
- Evidence
- Method: showed 6 stimuli
- 1: 6 fake letters
- 2: 6 infrequent letters
- 3: 6 frequent letters
- 4: bigram
- 5: quadgram
- 6: real world
- Result: as we progress thru more complex stimuli -> activate more anterior portions of ventral OTS
- LH bias
- How are reading and motor regions connected?
- when we read → ?? activated
- 2 areas activated when words are present
Box 8.1: reading printed letters activates motor region for writing the same letters
- When we read, premotor regions is activated
- Premotor region is responsible for handwriting
- Activated based on your dominant hand (left hand = right PMd)
- PMd activation helps perception
- Present strokes in correct sequence -> more PMd activation
- Writing -> recognize new letter faster, esp mirror images (d and b)
- Left PMd lesion -> RH patient impair writing and recognizing words
The Visual Word Forma Area (VWFA)
Normal response properties
- VWFA respond to More to printed words, real words
- VWFA respond to words in any location, case, font, script (Chinese vs Eng)
- Study method
- Words and shapes -> remove 50% contour
- Words: scrambled vs not
- Shapes: scrambled vs not
- Results: VWPA and pOTS are more active when words are presented
- Damage
- Alexia define
- Pure alexia
- issue
- lesion at ?
- Less severe form
- issue
- lesion at?
- Is VWFA for word processing only?
Effects of damage
- Alexia: can’t read
- 2 types
- 1 pure alexia: can’t read at all
- Lesion in lv 1-4 (b4 abstract letter detection in LCD model)
- 2 less severe: letter by letter, slow reading
- Lesion in 6-7 (after abstract letter detection in LCD model)
- Other studies
- Right VWFA can help out if there are lesions
- Patients w/ VWFA lesion struggle w/ perceiving non-words (ex. faces)
- VWFA may help out in other perceptual processes
- neuronal recycling hypothesis
- Why is VWFA on
- “lateral”?
- “left”?
- “OTS”?
- Study – Showed Illiterate vs literate sentences
- Sentences
- VWFA activity Illiterate vs literate
- Objects
- IVWFA activity lliterate vs literate
- Conclusion?
- Sentences
- Metamodal theory
- Blind people read Braille using touch, not sight → activate VWFA and OTC why?
Developmental origins: the neuronal recycling hypothesis
- Reading ability evolved from older brain networks that has a relevant function/structure
- Ex. older brain network = register detailed shapes; this ability helps reading ability
- VWFA is always at the “lateral” “left” “OTS” for many ppl
- VWFA -> OTS
- OTS -> recognize shapes
- Reading -> identify letters (similar to shapes)
- VWFA -> lateral
- Lateral -> foveal processing (see details)
- Reading -> see detail letters
- VWFA -> LH bias
- LH = analyze, shape processing
- Reading -> letters = shapes
- VWFA -> OTS
- VWFA is always at the “lateral” “left” “OTS” for many ppl
- Study – support neuronal recycling hypothesis
- Method: Showed Illiterate vs literate sentences
- Results: illiterate -> no VWFA activation
- Literate -> better performance = more VWFA activation
- Method: showed Illiterate vs literate face/tools (non-orthographic stimuli)
- Results: illiterate -> VWFA activation
- Literate -> no VWFA activation
- Conclusion:
- Among illiterate, VWFA processes non-word stimuli
- Literate: VWFA process words; non-word representations are relocated
- Study
- Blind people read Braille using tough, not sight
- Prediction: parietal cortex is activated, not OTC
- Results: OTC and VWFA activated
- Study
- Metamodal theory: brains regions are task oriented, not input oriented
- VWFA is not activated by visual/reading
- VWFA is activated to process spatially fine-grained shapes (regardless of sensory input – touch vs sight)
- Cog model components
- Print = ?
- Visual feature analysis - which lv on LCD?
- Letter identification: = ?
- Orthographic lexicon: = ?
- Grapheme-phoneme conversion: = ?
- Phoneme system: = ?
- Semantic system: = ?
- Phonological lexicon: = ?
- X
- Pathways
- Letter identification -> Grapheme-phoneme conversion -> phoneme system path = ?
- Orthographic lexicon -> semantic system -> phonological lexicon path = ?
- Evidence
- Phonological dyslexia
- Surface dyslexia
- Deep dyslexia
- Neural substrates
- ventral OTC = ?
- perisylvian network = ?
- inferior temporal parietal network = ?
- x
- Phonological dyslexia “hot spots” – damage to perisylvian network → 3 areas?
- Phonological dyslexia “hot spots” – damage to grapheme-phoneme conversion pathway → 2 areas
- Surface dyslexia → 2 areas
From print to sound and meaning
A cognitive model for reading aloud
- Print = visual stimuli (words)
- Visual feature analysis: lv 1-4 in LCD
- Letter identification: identify abstract letters
- Orthographic lexicon: retrieve representations of the stimuli
- Grapheme-phoneme conversion: convert grapheme/abstract letters to phoneme
- Phoneme system: pronounce words
- Semantic system: concept
- Phonological lexicon: sound structure
- X
- Pathways
- Letter identification -> Grapheme-phoneme conversion -> phoneme system path
- pronounce rare/pseudowords, read homophones (ex. rose vs rows)
- Orthographic lexicon -> semantic system -> phonological lexicon path
- tell the meanings of the homophones apart
- reading irregular mappings b/w print and sound (ex. choir; tough, dough)
Evidence from acquired dyslexia
- Acquired dyslexia: acquired due to brain injury
- Phonological dyslexia: can read aloud real words, not pseudowords
- Pseudowords hv unfamiliar patterns, no top-down benefits
- Surface dyslexia: can read aloud real words and pseudowords, can’t do irregular words that are infrequent;
- Ex. yacht
- Semantic dementia (name)
- Deep dyslexia: can’t read aloud pseudowords, regular and irregular words
- For real words: semantic errors, especially for abstract words
Neural substrates
- ventral OTC: process written word (red)
- perisylvian network: pronunciation (orange)
- inferior temporal parietal network: meaning (green)
- x
- Phonological dyslexia “hot spots” – damage to perisylvian network
- Broca’s area, inferior precentral gyrus
- Superior temporal gyrus, Wenicke’s area
- Inferior supramarginal gyrus
- Phonological dyslexia “hot spots” – damage to grapheme-phoneme conversion pathway
- Extrasylvian parietal region
- Occipitotemporal region
- Surface dyslexia
- Anterior and ventral temporal lobe
*
- Anterior and ventral temporal lobe