Lecture 4- Word identification and reading Flashcards
what do early models of word identification focus on?
Foucs mainly on reading
- eg interactive activation model rumelhart and Mclelland 1982
levels:
- feature detectors in the primary visual cortex
- letter detectors
- word detectors
where are feature detectors based
in the primary visual cortex
who created the trace model
Mclelland and elman
describe the trace model
same principle as the Interactive activation model - but for spoken language
has 3 layers
- feature units
- phoneme units
- word units
phonemes are combinations of auditory features and time ( eg voice onset time)
- ‘ one slice in time’ - takes into account phoneme features such as eg words ‘voiced acute power’ - which all have different onset timeslots
what is a feautre detector in the trace model
Diagonal / straiht / horizontal lines
what is a triangle arrow in the trace model
excitatory round= inhibitory
letters make different phonemes
what is the problems with the TRACE model
- unlike written language - time plays an important role in written language
- this makes it complex
- basically- detectors at the phoneme level are sensitive to the duration and order of inputs
What are the strengths of the trace model
- predicts a word - level top down effects
eg phonemic restoration - can account for almost all classical results on word recognition including context effects ( help identify letters and phonemes)
what are the weknesses of the Trace model
- Doesn’t have a mechanism to account for the importance of the first phoneme
Is it even falsifiable?
Can it account for anything? ( can just ad complexity)
A model that can be adapted to predict anything is maybe too general
The best models make strong positive and negative predictions
name a model of readers recognising words when reading aloud
Dual route Cascaded Model (DRC)
who created the Dual route Cascaded Model (DRC)
Coltheart et al 2011
describe th Dual route Cascaded Model (DRC)
Model of reading aloud
Note that this doesn’t contradict the interactive activation model
It’s just shown at a different level of abstraction
There still are nodes for each feature/letter/word/phoneme/meaning at each level
Two paths to naming a word
Direct route:
print lexicon
Indirect route:
print grapheme-phoneme rules
Name the 2 pathways to naming a word according to the DRC
Two paths to naming a word
Direct route:
print lexicon
(lexicon= all words the brain knows and can recognise)
Indirect route:
print grapheme-phoneme rules
(Known letters-> sounds= pronounciation correctly)
there are still nodes for each level
how many words to readers process a minute
250 words per minute - 4 words a second
why do we move our eyes
Macula (“yellow spot”):
Area of central vision
In the centre of the macula is the fovea, surrounded by the parafovea
Blind spot
(optic nerve and blood vessels exit the retina)
what are teh 2 types of eyemovements and explain these
Saccades:
Extremely fast, “ballistic” (duration ca. 20-50 ms)
Need to be planned in advance
No visual information available (saccadic suppression)
Fixations:
Stationary periods in between saccades
Mean duration 200 – 250 ms, high variability
Visual information available