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Page 1: Rolando Masís-Obando, Kenneth Norman, Christopher Baldassanocompmem.princeton.edu/.../2018/11/SfNposter2018_RolandoMasisO… · room group mean room subject mean sis Object Representations

Experimental Design

Background

Stimuli

PRELIMINARY RESULTS (n = 11): Room + Object Representations

PRELIMINARY RESULTS: Segmenting Mental Walkthroughs of Rooms

Summary

Current Directions

Acknowledgements

Mental TrackingKey Questions

Rolando Masís-Obando, Kenneth Norman, Christopher Baldassano

Decoding mental walkthroughs of spatial memories in an immersive virtual reality environment

How do we use spatial context (e.g. rooms of a memory palace) to sca�old episodic memory details (e.g. objects in a memory palace) ?

How do we use spatial context (e.g. rooms of a memory palace) to scaffold episodic memory details (e.g. objects in a memory palace)?

Where in the brain is spatial context represented?

Where in the brain are objects represented?

Can we track people’s mental walks through a memory palace?

Memories need to be accessible and stable over time

Context is one of the most powerful memory cues

Spatial context contributes to the representation of events

Method of loci / memory palace is a memory technique that uses spatial contexts to cue memories

Anterior Temporal (AT) Network : objects

Posterior Medial (PM) Network : context

Hidden Markov Model (HMM) can be used to track mental walkthroughs

Room Representationsvoxels

room group mean

room subject mean

correlate in searchlight analysis

Object Representationsvoxels

object group mean

object subject mean

correlate in searchlight analysis

Single Searchlight Event Boundaries of rooms for a linear path of 5 connected rooms

timepoints (TRs)

Accuracy: 0.70 | Shu�ed: .58 Accuracy: 0.91 | Shu�ed: .61

Room

Ord

er

Obj

ect O

rder

timepoints (TRs)

Single Searchlight Event Boundaries of objects for a linear path of 5 connected rooms

Room-specific patterns in sensory and Posterior Medial Network re-gionsObject specific patterns in sensory and some Anterior Temporal Network regionsRoom-patterns / object-patterns are good predictors for event boundaries

How do the PM and AT network regions work together with the hippocampus to retrieve objects from spatial context cues?

What are the neural correlates of a well-func-tioning (vs. poorly-functioning) memory palace?

learn memory palace

learn room-object associations

map drawing

sleep

post-learning scanpre-learning scan

FREE RECALL

portraits room

chess room

ruins room

clocks room

crystals room

23 rooms | 23 objects | 1.3s TRs | 11 subjects

By comparing brain activity to a pattern template for each room (left) or object (right), the HMM estimates when the subject transitions between recalling room-object pairs. Accuracy for a searchlight was measured as the mean boundary overlap of ’predicted’ vs ‘actual’ (relative to a shuf-fled null) across multiple runs of the 5-room sequence recall task. : real boundaries : predicted boundaries

p < 0.05z = 1.65

p < 0.05z = 1.65

p < 0.05z = 1.65

p < 0.05z = 1.65

Subj 3Subj 3

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Funding: MURI to KAN (ONR/DoD N00014-17-1-2961)

For reprints: [email protected]

@Columbia_DPML@appleslicemusic@PtonCompMemLab@HassonLab

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Subject 3 | Sequence Recall #2

tool

class

TV

candy

antiques

carriage

playground

oven

t-rex

puppy

room

sob

ject

s

rooms

objects

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