PhD position for an interdisciplinary research project on mind wandering & dreams

From: Jennifer Windt [jennifer.windt]

Sent: Friday, May 05, 2017 8:58 PM

Subject: PhD position for an interdisciplinary research project on mind wandering & dreams

Dear friends and colleagues,

I am looking for a PhD student for a three-year, interdisciplinary project on mind wandering and dreams. Part of the project will involve looking at questionnaires and first-person reports, and candidates who have experience in data analysis and running experiments will be preferred. If you know anyone who might be interested in this type of work, please forward this email – the ad is here:

http://careers.pageuppeople.com/513/cw/en/job/561726/monash-phd-position-in-philosophy

A second PhD position, under the supervision of Tim Bayne, is also currently being advertised:

http://careers.pageuppeople.com/513/cw/en/job/561727/2018-monash-phd-position-in-philosophy-of-mindcognitive-science

All best

Jenny

JENNIFER WINDT

Dr. phil.

Department of Philosophy

Monash University

Level 6, Menzies Building, Clayton Campus

20 Chancellor’s Walk

Monash University VIC 3800

Australia

T: +61 3 990 51519

E: jennifer.windt<mailto:jenifer.windt>

http://profiles.arts.monash.edu.au/jennifer-windt/

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Solomonova et al (2017): Sleep-dependent consolidation of face recognition and its relationship to REM sleep duration, REM density and Stage 2 sleep spindles

New paper from the Dream and Nightmare Lab…

ceams-carsm blog

Source: Sleep-dependent consolidation of face recognition and its relationship to REM sleep duration, REM density and Stage 2 sleep spindles

SUMMARY
Face recognition is a highly specialized capability that has implicit and
explicit memory components. Studies show that learning tasks with facial
components are dependent on rapid eye movement and non-rapid eye
movement sleep features, including rapid eye movement sleep density
and fast sleep spindles. This study aimed to investigate the relationship
between sleep-dependent consolidation of memory for faces and partial
rapid eye movement sleep deprivation, rapid eye movement density, and
fast and slow non-rapid eye movement sleep spindles. Fourteen healthy
participants spent 1 night each in the laboratory. Prior to bed they
completed a virtual reality task in which they interacted with computergenerated
characters. Half of the participants (REMD group) underwent
a partial rapid eye movement sleep deprivation protocol and half (CTL
group) had a normal amount of rapid…

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Phantom Pokemon assault as a sleep paralysis attack

Source: BBC – Future – The strange case of the phantom Pokemon

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Tout le monde rêve, même ceux qui disent ne jamais rêver | Réalités Biomédicales | Le Monde

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Vallat (2017) Evoked Potentials during Sleep: Implications for Dream Recall

Vallat, R., et al. (2017). “Increased Evoked Potentials to Arousing Auditory Stimuli during Sleep: Implication for the Understanding of Dream Recall

PDF:Vallat-2017-Increased Evoked Potentials to Aro

High dream recallers (HR) show a larger brain reactivity to auditory stimuli during wakefulness and sleep as compared to low dream recallers (LR) and also more intra-sleep wakefulness, but no other modification of the sleep macrostructure. To further understand the possible causal link between brain responses, intra-sleep wakefulness and dream recall, we investigated the sleep microstructure of HR and LR, and tested whether the amplitude of auditory evoked potentials was predictive of arousing reactions during sleep. Participants (18 HR, 18 LR) were presented with sounds during a whole night of sleep in the lab and polysomnographic data were recorded. Sleep microstructure (arousals, rapid eye movements, muscle twitches, spindles, K-complexes) was assessed using visual, semi-automatic and automatic validated methods. Auditory evoked potentials to arousing (awakenings or arousals) and non-arousing stimuli were subsequently computed. No between-group difference in the microstructure of sleep was found. In N2 sleep, auditory arousing stimuli elicited a larger parieto-occipital positivity and an increased late frontal negativity as compared to non-arousing stimuli. As compared to LR, HR showed more arousing stimuli and more long awakenings, regardless of the sleep stage but did not show more numerous or longer arousals. These results suggest that the amplitude of the brain response to stimuli during sleep determine subsequent awakening and that awakening duration (and not arousal) is the critical parameter for dream recall. Notably, our results led us to propose that the minimum necessary duration of an awakening during sleep for a successful encoding of dreams into long-term memory is approximately 2 minutes.

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Relocating dreams on the conceptual map. An interview with Jennifer Windt

How the analysis of sleep and dreaming challenges our taxonomy of mental states

By Alessio Bucci and Raphaël Millière

Windt-2017-Relocating dreams on the conceptual

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Microdream neurophenomenology | Neuroscience of Consciousness 

Source: Microdream neurophenomenology | Neuroscience of Consciousness | Oxford Academic

pdf: Nielsen 2017 Microdreaming

Tore Nielsen*
Dream & Nightmare Laboratory, Center for Advanced Research in Sleep Medicine, Hopital du Sacre-Coeur de Montreal and Department of Psychiatry, University of Montreal, Canada

Abstract
Nightly transitions into sleep are usually uneventful and transpire in the blink of an eye. But in the laboratory these transitions afford a unique view of how experience is transformed from the perceptually grounded consciousness of wakefulness to the hallucinatory simulations of dreaming. The present review considers imagery in the sleep-onset transition—“microdreams” in particular—as an alternative object of study to dreaming as traditionally studied in the sleep lab. A focus on microdream phenomenology has thus far proven fruitful in preliminary efforts to (i) develop a classification for dreaming’s core phenomenology (the “oneiragogic spectrum”), (ii) establish a structure for assessing dreaming’s multiple memory inputs (“multi-temporal memory sources”), (iii) further Silberer’s project for classifying sleep-onset images in relation to waking cognition by revealing two new imagery types (“autosensory imagery,” “exosensory imagery”), and (iv) embed a potential understanding of microdreaming processes in a larger explanatory framework (“multisensory integration approach”). Such efforts may help resolve outstanding questions about dream neurophysiology and dreaming’s role in memory consolidation during sleep but may also advance discovery in the neuroscience of consciousness more broadly.

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