Task 8: Trying to make it work Flashcards

1
Q

A1: Describe Cisek’s distinction between action selection & action specification

A

Both

  • > require external sensory information
  • > require internal info about current behavioural needs

Old hypothesis:
- serial process: Sensation -> representation of objects -> judgments -> decide action -> plan -> execute

New evidence:

  • both occur simultaneously
  • more integrative activation
    e. g. activity in PPC for sensory, motor & cognitive info
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2
Q

A1: Describe Cisek’s Affordance Competition model

- Movement Specification

A

3 neural populations that encode for movement specification

1) Visual cortex -> encoding potential visual targets
- > modulated by attentional selection
2) Parietal cortex -> encoding potential actions
3) activity in PreMC
- -> fronto-parietal cortex for action competition

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3
Q

A1: Describe Cisek’s Affordance Competition model

- fronto-parietal cortex & input from Action Selection area

A
  • Fronto-parietal cortex is biased by action selection input from BG & PFC
  • > biasing influences many nuclei across cortex

BG:
- activity to movement parameters & decision variables

PFC/lPFC:

  • advanced action selection
  • PFC decisions evolve through collection of “votes” for selecting one action
ventral stream (IT):
- detecting stimulus combinations relevant for action selection
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4
Q

A1: Describe Cisek’s Affordance Competition model

- Action execution

A
  • overt feedback through environment

- internal predictive feedback through CB

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5
Q

A1: Explain why action selection & specification occur continuously & simultaneously.

A

-> behaviour is a constant competition between internal representations of potential actions

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6
Q

A1: Why is the parietal cortex so important for competition & how does it bias competition?

A

Parietal cortex:

  • transforming visual input into representations of potential actions
  • > only most promising actions are represented in parietal cortex
  • > biases competition via attentional modulation & propagation of decision-signals

Fronto-parietal system:

  • place of competition
  • reciprocally interconnected
  • > mixing of sensory, cognitive & motor variables (kinda like votes?)
  • activity to one action increases while others are inhibited
  • > based on decision factor (e.g. utility, affective value, …)
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7
Q

A1: Explain the phrase: “selective attention is seen as an early mechanism for action selection”

A
  • Action selection includes areas related to visual processing which are places affected by selective attention
  • > it reduces the amount of information represented along the dorsal stream -> increasing clarity on action to be done
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8
Q

A2: Compare Cisek’s view on functional organization of the parietal “affordance” path with Binkofsky & Buxbaum’s view in task 1
- Similarities

A

Similarities
- online modulation of actions

  • Functions of dorsal & ventral stream
  • > ventral: object identification (here part of action selection)
  • > dorsal: spatial info, visually-guided movement (MIP, AIP)
  • > increasing influence of attentional modulation
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9
Q

A2: Compare Cisek’s view on functional organization of the parietal “affordance” path with Binkofsky & Bixbaum’s view in task 1
- Differences

A

Cisek
- High crosstalk -> differentiated anatomical dorsal pathways but one integrated system

Binkofski
- Little crosstalk between dorsal pathways

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10
Q

A3: Where in the brain do decisions take place according to Cisek?

A

-> fronto-parietal system

Cortico-cortical connections are bidirectional:

  • if a decision begins to emerge in one region -> will propagate outward into other regions
  • > this interconnectivity causes decision to emerge
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11
Q

A3: Give an example for fronto-parietal decision-making

A

e. g. banana vs. pineapple
- sensory input: I see banana & pineapple -> ventral stream

  • representing possible actions (=affordance): I can grab banana or apple
  • > dorsal streams
  • competition between potential actions: I think I want to get banana
  • > fronto-parietal system, mutual inhibition
  • (sub)cortical biases/decision factors: I want sugar, banana has sugar, i should get banana
  • > BG
  • task rules + object selection: I’ll get banana
  • > PFC & FEF
  • attention mechanisms to prioritize processing of one object: I’m looking for a banana
  • > lateral intraparietal area
  • action selection + movement specification: I’ll grab this banana
  • > SMA + dPReMC/M1
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12
Q

A4: Describe the filter-view on the dorsal attention system, its selectivity & priority maps

A

Attentional modulation

  • Central principle of filtering
  • > there is competition for representation
  • > enhanced representation for some stimuli at expense of others -> filter
  • > representations of objects become more sparse along the stream/away from the striate cortex -> info is filtered

–> only most important targets “make it” to the parietal cortex

Priority maps
- created by BG/PFC biasing signals from action selection

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13
Q

A4: Explain how priority maps serve the larger good of goal-direct behaviour (vs. simply filtering sensory info)

A

Classic view: Attention as filter

Cisek: Attentional biasing from BG/PFC
- propagated via reciprocal cortical connections

Krauszlis: Attention is by-product/effect of BG’s state estimation

  • related to motivation/cognitive loop –> motor goal
  • Sensory input -> prior knowledge -> internal state
  • > state estimation (which one matches input best?) -> decision policy
  • > weighting sensory inputs based on policy
  • competition between actions (vs. competition between stimuli)
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14
Q

A4: Present evidence for Krauzlis’ state estimation framework

A

Lesion in SC

  • > according to old theory should disrupt neural activity associated with attentional biasing
  • > no more attention related activity -> but still behaviour!
  • > BG actually biases behaviour (after it’s whole loopy thing)
  • SC & BG form different parts of spatial attention and/or SC influences attention after BG

Clinical:

  • Spatial neglect
  • damage to PPC/subcortical structures/striatum -> e.g. hallucinations (erroneous state estimations)
  • might better explain ADHD

Evolutionary:
- animals without cortex also have attentional mechanisms

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15
Q

A4: What are advantages & constraints of Krauzlis’ new model of attention?

A

Advantages:

  • Better explains learning
  • > weights are learned not innate (S-R via DA)
  • > Mechanisms for switching how salient events are handled
  • > Instead of performing habitual responses to new events -> attention circuits open window of opportunity (new states/actions)

Constraints:

  • expanding behavioural repertoire requires adding new states (via PFC-striatum projections)
  • Decision policy biases behaviour but does not dictate outcomes
  • not all instances of sensory-motor selection require this flexible control but still depend on BG circuits (e.g. habits)
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16
Q

Example of decision-making via Krauzlis framework

A

chocolate vs. berries

Visual input:
- chocolate & berries

Prior knowledge & internal status:

  • chocolate made me vomit once
  • I want something sweet
  • > coupled with visual input
  • > input to BG via SC

Motivation (S-R) + cognition (A-O) + motor loops (S-A):

  • Berries are sweet and I want something yummy
  • If I get berries I can have something yummy
  • If I see sweet berried, I’ll get them
  • > BG loops
  • > state estimations -> interact to resolve competition between possible actions

Action selection:
- I will buy berries!

Weighted state:

  • focus on berries
  • ignore the chocolate
  • > weights are assigned to sensory/nonsensory inputs
  • > biased behaviour/decision policies
17
Q

A5: What is a state?

A

Current condition of subject & environment

  • > involves interpreting features of external world + internal status of subject (e.g. prior knowledge, current needs, …)
  • > goal-direct decision making involves properly identifying state & associated actions
18
Q

A6: Compare the views of Cisek & Krauzlis

- Competition

A

Cisek:

  • sensory data is collected
  • simultaneously actions compete for processing
  • sensory info biases action competition until one response “wins”
  • > constant competition between affordances
  • > fronto-parietal network

Krauzlis:

  • state estimates are made (external + internal state)
  • each has a different weight & best-matching will win & decide about action
  • > BG
19
Q

A6: Compare the views of Cisek & Krauzlis

- Priority maps

A

Cisek:

  • Biasing influence from BG & PFC
  • fronto-parietal networks are modulated by decision policy (e.g. salience, attention)
  • > influence competition

Krauzlis:

  • Sensory & nonsensory information input is weighted based on best-matching state estimation in BG (which in itself is affected by frontal, parietal regions & SC)
  • > bias action competition
  • changes in environment -> shift in attention -> transitions in state (BG)
20
Q

A6: Compare the views of Cisek & Krauzlis

- subordinate role of attention

A

Cisek:
- Selective attention mechanism -> selective sensory processing -> already elimination of many actions -> only most promising reach parietal cortex

Krauzlis:

  • Attentional bias is an effect, not agent
  • it’s a consequence of value-based decision-making in BG
  • strength of contribution to current state (weight) -> decides about how much attention is paid to processing particular sensory inputs & types of knowledge
21
Q

A6: Compare the views of Cisek & Krauzlis

- difference to classical theories

A

Cisek:

  • more integrated view
  • parallel processing of sensory info/cognition/action

Krauzlis:

  • mainly criticises the traditional role of attention as filter
  • attention is effect/by-product
22
Q

A6: Compare the views of Cisek & Krauzlis

- link to evolution

A

Cisek:

  • reject idea of new structures on top of old ones
  • instead: differentiation & specialization of already existing functions
  • > shifting projections not adding new structures

Krauzlis:

  • important contributions from old subcortical structures
  • neocortex doesn’t play fundamental role, it rather outsources other areas (BG)
23
Q

A6: Compare the views of Cisek & Krauzlis

- role of PFC

A

Cisek:

  • no only concerned with new cognitive functions
  • relevant for advanced decision-making
  • can be interpreted in the same way as subcortical structures
  • > has similar biasing effect as BG

Krauzlis:
- neocortex is not fundamental in attention but there are important connections between BG & PFC

24
Q

A6: Compare the views of Cisek & Krauzlis

- core steps of goal-directed decision-making

A

Cisek:

  • Action specification & action selection occur continuously & simultaneously
  • many different actions are prepared at the same time to be able to switch plans

Krauzlis:

  • Internal & external state estimation (BG)
  • similar to action specification
  • > action/state estimate competition & biasing signals in fronto-parietal network/BG