Representations Nisheeth 1st February 2018.

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Presentation transcript:

Representations Nisheeth 1st February 2018

Course trajectory Foundations Perception Categorization Memory Behavior Motor Mental Speech

Categorization Ordering experience into distinct sets

Can solve this using machine learning? That’s a major thrust of modern ML

Similarity-based approaches are data-intensive http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/

Even assuming transfer learning

Human categorization is much more frugal My 3 year old knows which is a cat and which is a dog

And resilient to visual differences

Similarity is not the only source of category information Different category? Same category?

Representation “any notation or sign or set of symbols which ‘re-presents’ something to us…that is, stands for something in the absence of that thing” objects of the external world (things) objects of the internal world (ideas) The “what” and “how” of representation is critical to most core issues in cognitive psychology implies some storage of information key problem: what is stored? nature of representation can be revealed through performance, but there are limitations This slide depicts what represntations are for. They are cool

Types of Representations Eysenck’s rubric for separating out representations. maps written language

Representations: Another classification Perceptually-based representations Imagery (encodes visual+spatial structure) visual (object-based) spatial Linear Orderings (encodes sequence) Meaning-based representations (encode what is significant about an event) Propositions (code relations ‘linguistically’) Schemas (large, complex units of knowledge) event schemas (scripts) object schemas (concepts) attributes prototypes

Images vs. Propositions Are images really different from propositions? YES (Paivio dual-coding theory) NO (Pylyshyn, Anderson & Bower) Does imagery have any functional significance? What is the relationship between perception and imagery?

Memory for Visual Images Although people are generally good at remembering the general ‘gist’ (meaning) of pictures, memory for picture details is relatively poor Representative studies: Mandler & Ritchey (1977): study classroom pictures, present with distractors (next slide) Nickerson & Adams (1979): people virtually at chance in reproducing the correct configuration of a penny Conclusion: meaning-based representations ARE really different from perceptually-based representations

Paivio’s Dual-Coding Theory Two basic coding systems: verbal and nonverbal Each is specialized for encoding, storing, organizing and retrieving information Each system consists of sensorimotor subsystems Basic representational units: logogens and imagens Systems interconnected by ‘referential links’

Paivio’s Dual-Coding Theory

Evidence for and against dual-coding theory Free recall of pictures > words Concrete words > abstract words Free recall of words encoded with imagery instructions > pronunciation Spatial interference effects (Baddeley et al., Brooks) Hemispheric differences in abstract-concrete word recognition AGAINST Interactive imagery instructions enhance cued-recall, but separate-imagery instructions do not (enhance relational organization) Little evidence for cognitive mechanisms of imagery (but see next slides; this may be changing)

Lacourse, et al., 2005, Neuroimage, 27, 505-519. Motor imagery task produces more congruent activation (compared to actual movement) in motor cortex after practice A sequential button press task was performed using the right hand while it rested on a four-key response pad (Neuroscan, Inc.) during two test sessions and five physical practice sessions over 1 week. The button press sequence was 4–2–3–1–3–4–2, with the numbers (1–4) representing digits (index (1), middle (2), ring (3), and little finger (4)) (see Fig. 1). Participants attempted to perform the motor sequence during the two test sessions at a self-paced NOVEL is either actually pressing (Novel Move) or Imaging Pressing (Novel Image) during an initial session after a brief familiarization period. SKILLED is eith actually pressing (Skilled Move) or Imaging Pressing (Skilled Image) after 5 business days of practice. Basic findings: in NOVEL, activations for actual move are greater than for Image; these become more congruent after skilled practice. Lacourse, et al., 2005, Neuroimage, 27, 505-519.

Famil - Unfamil Famil - Unfamil Songs With Lyrics Songs Without Lyrics Auditory Cortex Shows Activation during 5-sec gaps in songs; effect is greater for familiar songs FL=familiar songs w/ lyrics FI=familiar instrumentals UL=unfamiliar songs w/ lyrics UI=unfamiliar instrumentals Famil - Unfamil Famil - Unfamil Songs With Lyrics Songs Without Lyrics Kraemer, et al., Nature, 2005, 434, 158.

Structure of Images From psychological studies, results suggest that mental operations on images are similar to mental operations on percepts MENTAL ROTATION: RT to determine if a figure is mirror reversed is related to how much it is rotated (Cooper & Shephard) IMAGE SCANNING: time to scan between two points is a linear function of the distance between them (Kosslyn) Images have both visual and spatial properties

Kosslyn’s Computational Model of Imagery IMAGE FILES Information about how images are represented spatially SPATIAL MEDIUM 1. Functions as a space 2. Images not at uniform resolution 3. Has a grain 4. Images fade with time LTM PROP’NL FILES Information about parts of objects and how related to each other

Image granularity matters Spatial medium has granularity: RT to decide if rabbit has a visible property (e.g., claws) is faster in the right image (Kosslyn, 1980)

Image size matters RT to decide if animal had an attribute was much longer in the small squares than in the large ones (Kosslyn, 1975)

Summary There is increasingly evidence that people have two types of knowledge representations Propositional Imagery-based How do we define similarity judgments in either case? How do we make categories using both sources of information?