Contact information

Email	frederik.vanede@ohba.ox.ac.uk
Tel	+44 (0)1865 83803
Website	http://scholar.google.com/citations?user=3DTHkPIAAAAJ&hl=nl

Freek van Ede

PhD

Post-doctoral Research Fellow

Marie Skłodowska-Curie Post-doctoral Fellow
Tilleard-Cole Junior Research Fellow, Worcester College

Cognitive neuroscience of attention, perception, and working memory

Freek is a post-doctoral research fellow at the Oxford Centre for Human Brain Activity (OHBA), affiliated with the Brain & Cognition Lab (PI Kia Nobre) and the Attention Lab (PI Mark Stokes).

Freek investigates the mechanisms by which our brains extract and prioritise information that is relevant to current goals, with a focus on human perception and (working) memory and a strong interest in the role of brain oscillations. In a world in which the amount of information that reaches our senses is increasing by the day, so is the importance to appreciate just how our brains enable such prioritisation.

Supramodal Theta, Gamma, and Sustained Fields Predict Modality-specific Modulations of Alpha and Beta Oscillations during Visual and Tactile Working Memory.
van Ede F. et al, (2017), J Cogn Neurosci, 29, 1455 - 1472
Driving Human Motor Cortical Oscillations Leads to Behaviorally Relevant Changes in Local GABAA Inhibition: A tACS-TMS Study.
Nowak M. et al, (2017), J Neurosci, 37, 4481 - 4492
Early behavioural facilitation by temporal expectations in complex visual-motor sequences.
Heideman SG. et al, (2017), J Physiol Paris
Preparatory α-band oscillations reflect spatial gating independently of predictions regarding target identity.
Wildegger T. et al, (2017), J Neurophysiol, 117, 1385 - 1394
Feature-based attentional weighting and spreading in visual working memory.
Niklaus M. et al, (2017), Sci Rep, 7
Temporal Expectations Guide Dynamic Prioritization in Visual Working Memory through Attenuated α Oscillations.
van Ede F. et al, (2017), J Neurosci, 37, 437 - 445
Physiological Plausibility Can Increase Reproducibility in Cognitive Neuroscience.
van Ede F. and Maris E., (2016), Trends Cogn Sci, 20, 567 - 569
Distinct α- and β-band rhythms over rat somatosensory cortex with similar properties as in humans.
Fransen AM. et al, (2016), J Neurophysiol, 115, 3030 - 3044
Diverse Phase Relations among Neuronal Rhythms and Their Potential Function.
Maris E. et al, (2016), Trends Neurosci, 39, 86 - 99
Rhythmic Components in Extracranial Brain Signals Reveal Multifaceted Task Modulation of Overlapping Neuronal Activity.
van der Meij R. et al, (2016), PLoS One, 11
Touch automatically upregulates motor readiness in humans.
van Ede F. et al, (2015), J Neurophysiol, 114, 3121 - 3130
Identifying neuronal oscillations using rhythmicity.
Fransen AM. et al, (2015), Neuroimage, 118, 256 - 267
Movement preparation improves touch perception without awareness.
van Ede F. et al, (2015), Cognition, 137, 189 - 195
Both ongoing alpha and visually induced gamma oscillations show reliable diversity in their across-site phase-relations.
van Ede F. et al, (2015), J Neurophysiol, 113, 1556 - 1563
Temporal expectation and attention jointly modulate auditory oscillatory activity in the beta band.
Todorovic A. et al, (2015), PLoS One, 10
Anticipation increases tactile stimulus processing in the ipsilateral primary somatosensory cortex.
van Ede F. et al, (2014), Cereb Cortex, 24, 2562 - 2571
Attentional modulations of somatosensory alpha, beta and gamma oscillations dissociate between anticipation and stimulus processing.
van Ede F. et al, (2014), Neuroimage, 97, 134 - 141
Somatosensory demands modulate muscular Beta oscillations, independent of motor demands.
van Ede F. and Maris E., (2013), J Neurosci, 33, 10849 - 10857
Beyond establishing involvement: quantifying the contribution of anticipatory α- and β-band suppression to perceptual improvement with attention.
van Ede F. et al, (2012), J Neurophysiol, 108, 2352 - 2362
Attentional cues affect accuracy and reaction time via different cognitive and neural processes.
van Ede F. et al, (2012), J Neurosci, 32, 10408 - 10412
Prior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study.
Todorovic A. et al, (2011), J Neurosci, 31, 9118 - 9123
Joint action modulates motor system involvement during action observation in 3-year-olds.
Meyer M. et al, (2011), Exp Brain Res, 211, 581 - 592
Orienting attention to an upcoming tactile event involves a spatially and temporally specific modulation of sensorimotor alpha- and beta-band oscillations.
van Ede F. et al, (2011), J Neurosci, 31, 2016 - 2024
Tactile expectation modulates pre-stimulus beta-band oscillations in human sensorimotor cortex.
van Ede F. et al, (2010), Neuroimage, 51, 867 - 876

Temporal Expectations Guide Dynamic Prioritization in Visual Working Memory through Attenuated α Oscillations.
van Ede F. et al, (2017), J Neurosci, 37, 437 - 445
Diverse Phase Relations among Neuronal Rhythms and Their Potential Function.
Maris E. et al, (2016), Trends Neurosci, 39, 86 - 99
Physiological Plausibility Can Increase Reproducibility in Cognitive Neuroscience.
van Ede F. and Maris E., (2016), Trends Cogn Sci, 20, 567 - 569
Somatosensory demands modulate muscular Beta oscillations, independent of motor demands.
van Ede F. and Maris E., (2013), J Neurosci, 33, 10849 - 10857
Orienting attention to an upcoming tactile event involves a spatially and temporally specific modulation of sensorimotor alpha- and beta-band oscillations.
van Ede F. et al, (2011), J Neurosci, 31, 2016 - 2024

Supramodal Theta, Gamma, and Sustained Fields Predict Modality-specific Modulations of Alpha and Beta Oscillations during Visual and Tactile Working Memory.
van Ede F. et al, (2017), J Cogn Neurosci, 29, 1455 - 1472
Driving Human Motor Cortical Oscillations Leads to Behaviorally Relevant Changes in Local GABAA Inhibition: A tACS-TMS Study.
Nowak M. et al, (2017), J Neurosci, 37, 4481 - 4492
Early behavioural facilitation by temporal expectations in complex visual-motor sequences.
Heideman SG. et al, (2017), J Physiol Paris
Preparatory α-band oscillations reflect spatial gating independently of predictions regarding target identity.
Wildegger T. et al, (2017), J Neurophysiol, 117, 1385 - 1394
Feature-based attentional weighting and spreading in visual working memory.
Niklaus M. et al, (2017), Sci Rep, 7

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