modelling the classic attentional blink and its emotional variant nikos fragopanagos* & john...

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Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC and the EU under the GNOSYS project Cognitive Robotics, Intelligence and Control (COGRIC 2006)

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Page 1: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Modelling the classic Attentional Blink and its emotional variant

Nikos Fragopanagos* & John Taylor**

*Sponsored by the BBSRC**Sponsored by the BBSRC and the EU under the GNOSYS project

Cognitive Robotics, Intelligence and Control (COGRIC 2006)

Page 2: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Outline

• Introduction

• Looking at the evidence

• Building blocks of the model

• Masking in the AB & the need for a monitor

• Results

• Extending attention model with amygdala

• Conclusions

Page 3: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Introduction (1/3)

• Moving the focus of attention from one target to another when these targets are embedded in a rapid stream of stimuli is hard.

• It becomes even harder when the temporal distance between the two targets is 200-500 ms.

• This gives rise to the phenomenon called ‘Attentional Blink’ (hereforth the AB).

• Understanding the AB can shed some light to the mechanism of attention and the limits of its capacity

Page 4: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Introduction (2/3)

Page 5: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Introduction (3/3)

• Two main models have been proposed for the AB:– The two-stage model suggests that all items presented

in the rapid visual stream are processed to the point of conceptual representations without awareness (stage 1). The transfer of T2 representations into working memory is assumed to be impaired, as long as working memory (stage 2) is still engaged with T1.

– The interference model suggests that not the impaired transfer of T2 to working memory, but the interference of the representations of T1 and T2 within working memory causes the AB.

Page 6: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Looking at the evidence (1/4)

• There are two types of evidence for the AB:– Behavioural data & brain imaging data

• The behavioural data

indicate that in the dual-

target condition the target 2

detection accuracy curve

is U-shaped around a

minimum of ~300ms.

Page 7: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Looking at the evidence (2/4)

• The AB is a high temporal resolution demanding task for brain imaging.

• So focus on EEG (in the form of ERPs) that can capture the temporal dynamics of brain activation.

• According to Vogel et al. (1998):– P1, N1 & N400 are preserved.– P2 & P3 are diminished.

• What are the implications of these results?

Page 8: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Looking at the evidence (3/4)

• The N1/P1 are early ERPs that could correspond to initial processing in the visual cortex and also early prefrontal activation by incoming stimuli.

• The N400 is related to semantic processing indicating perceptual awareness.

• The P3 has been suggested to arise from access to working memory by the input signal.

• The P2 signal at 200 ms was proposed (JGT) as an indication of the corollary discharge of attention movement, being crucial for the related input stimulus activity to access its sensory buffer.

Page 9: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Looking at the evidence (4/4)

• Based on the chronometrical characterisics of the AB ERPs we hypothesise that T1’s P3 has suitable timing for attackingT2’s P2 and thus causing the AB.

• But how is the P2 ofT2 responsible for the AB?

Page 10: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (1/6)

• The Input module codes for the various visual stimuli using one node for each item.

Page 11: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (2/6)

• The Input feeds forward to an Object Map (eg in temporal cortex). Early visual cortex processing is not included in the model.

Page 12: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (3/6)

• Input also activates Goals in PFC (exogenously) that bias the IMC which in turn gain-modulates the input to the Object Map accordingly.

Page 13: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (4/6)

• The IMC gives rise to a Corollary Discharge signal which is used to preactivate the Working Memory thus facilitating target processing.

Page 14: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (5/6)

• Then (after the Corollary Discharge signal) the Object Map activates the appropriate site in the Working Memory.

Page 15: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Building blocks of the model (6/6)

• Finally, the Working Memory having built up sufficient activation turns off all the Corollary Discharge nodes to prevent other stimuli entering.

Page 16: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Masking in the AB & the need for a monitor (1/3)

• In the AB both targets are masked.• If T1’s mask is

replaced by a

blank then the AB

is significantly

reduced.• How do we tackle

this?

Page 17: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Masking in the AB & the need for a monitor (2/3)

• We suggest that the mask of T1 causes a deterioration to T1 in the IMC thus rendering it weaker to reach awareness in the Working Memory.

• To capture this deficit we introduce an endogenous section of the Goals that retains the desired state of the system.

• The predicted state of the system is given by the Corollary Discharge which holds a copy of the IMC-controlled attention movement.

Page 18: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Masking in the AB & the need for a monitor (3/3)

• Comparison of the desired state with the predicted state yields the deficit caused to T1 by its mask.

• This comparison is run in the Monitor module.

Page 19: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (1/6)

• ERPs-equivalent for first item (T1) in RSVP:

Page 20: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (2/6)

• The main mechanism that causes the AB is the turning off of all the Corollary Discharge nodes by the Working Memory node for T1 in order to prevent other stimuli getting through and interfering with it.

• This renders T2’s Corollary Discharge node ineffective; thus with no Working Memory preactivation T2 cannot reach awareness.

• This manifests as T2’s P2 (Corollary Discharge) and P3 (Working Memory) being diminished.

Page 21: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (3/6)

• ERPs-equivalent for T2 in Lag3:

Page 22: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (4/6)

• Additionally when the Monitor detects an error in the activation of the T1 Corollary Discharge due to interference by its mask in the IMC, it tries to compensate by boosting the T1 node in the IMC and also by inhibiting all the other nodes until such time as T1’s Working Memory has reached a sufficient level of activation.

• This causes an increase of the AB effect manifested as a steepening of the T2 detection curve dip (as shown in the following figures).

Page 23: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (5/6)

• T1&T2 Working Memory potentials (T1 unmasked):

Page 24: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Results (6/6)

• T1&T2 Working Memory potentials (T1 masked):

Page 25: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Extending attention model with amygdala (1/4)

• Anderson and Phelps, 2001 (Emotional Attentional Blink): Variation of the classic AB using emotional words as second targets.

Red: controlBlue: amygdala patient

Triangles: neutralCircles: emotional

Page 26: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Extending attention model with amygdala (2/4)

• Simulate by extending attention model with amygdala:

Page 27: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Extending attention model with amygdala (3/4)• ERPs for T2 in Lag3 when no amygdala

Page 28: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Extending attention model with amygdala (4/4)• ERPs for T2 in Lag3: amygdala input from T2’s object rep, & fed back

to same site => Breakthrough Attentional Blink

Page 29: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Conclusions (1/2)

• Our model is able to fit the overall temporal flow of activity in the brain as observed by ERP results.

• It gives an explanation of the AB effect compatible with the general features of a two-stage process.

• The main feature of the model which helps explain the nature of the AB is the inhibitory destruction of the corollary discharge signal associated with the second target by the working memory buffer activity of the first target.

Page 30: Modelling the classic Attentional Blink and its emotional variant Nikos Fragopanagos* & John Taylor** *Sponsored by the BBSRC **Sponsored by the BBSRC

Conclusions (2/2)

• Additionally when T1 processing is not reaching the expected goal level, a monitor detects this and sends a boosting signal back to T1 and an inhibitory signal back to the other stimuli to ‘protect’ T1 from them.

• This mechanism helps explain the alleviating effect of removing T1’s mask to the AB dip.

• It also provides a novel point of view of the scarce nature of attention.