Search Results - "van Gerven, J M A"

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  1. 1

    Classifying sex and strain from mouse ultrasonic vocalizations using deep learning by Ivanenko, A, Watkins, P, van Gerven, M. A. J, Hammerschmidt, K, Englitz, B, Graham, Lyle J, Theunissen, Frédéric E

    Published in PLoS computational biology (22-06-2020)
    “…Vocalizations are widely used for communication between animals. Mice use a large repertoire of ultrasonic vocalizations (USVs) in different social contexts…”
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  2. 2

    Distinct Top-down and Bottom-up Brain Connectivity During Visual Perception and Imagery by Dijkstra, N., Zeidman, P., Ondobaka, S., van Gerven, M. A. J., Friston, K.

    Published in Scientific reports (18-07-2017)
    “…Research suggests that perception and imagination engage neuronal representations in the same visual areas. However, the underlying mechanisms that…”
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  3. 3

    End-to-end neural system identification with neural information flow by Seeliger, K, Ambrogioni, L, Güçlütürk, Y, van den Bulk, L M, Güçlü, U, van Gerven, M A J

    Published in PLoS computational biology (01-02-2021)
    “…Neural information flow (NIF) provides a novel approach for system identification in neuroscience. It models the neural computations in multiple brain regions…”
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  4. 4

    Biomarkers for the effects of selective serotonin reuptake inhibitors (SSRIs) in healthy subjects by Dumont, G. J. H., De Visser, S. J., Cohen, A. F., Van Gerven, J. M. A.

    Published in British journal of clinical pharmacology (01-05-2005)
    “…Aims Studies of novel centrally acting drugs in healthy volunteers are traditionally concerned with kinetics and tolerability, but useful information may also…”
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  5. 5

    The scientific basis of rational prescribing. A guide to precision clinical pharmacology based on the WHO 6-step method by Rongen, G. A., Marquet, P., van Gerven, J. M. A.

    Published in European journal of clinical pharmacology (01-05-2021)
    “…Background and methods This opinion paper expanded on the WHO “six-step approach to optimal pharmacotherapy,” by detailed exploration of the underlying…”
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  6. 6

    Between-subject variability in the influence of mental imagery on conscious perception by Dijkstra, N., Hinne, M., Bosch, S. E., van Gerven, M. A. J.

    Published in Scientific reports (30-10-2019)
    “…Mental imagery and visual perception rely on similar neural mechanisms, but the function of this overlap remains unclear. One idea is that imagery can…”
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  7. 7

    Acute neuropsychological effects of MDMA and ethanol (co-)administration in healthy volunteers by Dumont, G. J. H., Wezenberg, E., Valkenberg, M. M. G. J., de Jong, C. A. J., Buitelaar, J. K., van Gerven, J. M. A., Verkes, R. J.

    Published in Psychopharmacologia (01-04-2008)
    “…Rationale In Western societies, a considerable percentage of young people expose themselves to 3,4-methylenedioxymethamphetamine (MDMA or “ecstasy”). Commonly,…”
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  8. 8

    Biomarkers for the effects of benzodiazepines in healthy volunteers by De Visser, S. J., Van Der Post, J. P., De Waal, P. P., Cornet, F., Cohen, A. F., Van Gerven, J. M. A.

    Published in British journal of clinical pharmacology (01-01-2003)
    “…Studies of novel centrally acting drugs in healthy volunteers are traditionally concerned with kinetics and tolerability, but useful information may also be…”
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    Journal Article
  9. 9

    The Use of Biomarkers in Human Pharmacology (Phase I) Studies by Cohen, A.F, Burggraaf, J, van Gerven, J.M.A, Moerland, M, Groeneveld, G.J

    “…The development of a new medicine is a risky and costly undertaking that requires careful planning. This planning is largely applied to the operational aspects…”
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  10. 10

    On the use of interaction error potentials for adaptive brain computer interfaces by Llera, A., van Gerven, M.A.J., Gómez, V., Jensen, O., Kappen, H.J.

    Published in Neural networks (01-12-2011)
    “…We propose an adaptive classification method for the Brain Computer Interfaces (BCI) which uses Interaction Error Potentials (IErrPs) as a reinforcement signal…”
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  11. 11

    Increased oxytocin concentrations and prosocial feelings in humans after ecstasy (3,4-methylenedioxymethamphetamine) administration by Dumont, G. J. H., Sweep, F. C. G. J., van der Steen, R., Hermsen, R., Donders, A. R. T., Touw, D. J., van Gerven, J. M. A., Buitelaar, J. K., Verkes, R. J.

    Published in Social neuroscience (01-01-2009)
    “…MDMA (3,4-methylenedioxymethamphetamine or "ecstasy") is a recreationally used drug with remarkable and characteristic prosocial effects. In spite of abundant…”
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  12. 12

    Effect of intrapulmonary tetrahydrocannabinol administration in humans by Zuurman, L., Roy, C., Schoemaker, RC, Hazekamp, A., den Hartigh, J., Bender, JCME, Verpoorte, R., Pinquier, JL, Cohen, AF, van Gerven, JMA

    Published in Journal of psychopharmacology (Oxford) (01-09-2008)
    “…This randomised, double-blind, placebo-controlled, cross-over study was designed to identify which pharmacodynamic parameters most accurately quantify the…”
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  13. 13

    Pharmacokinetics, pharmacodynamics and the pharmacokinetic/ pharmacodynamic relationship of zolpidem in healthy subjects by de Haas, SL, Schoemaker, RC, van Gerven, JMA, Hoever, P, Cohen, AF, Dingemanse, J

    Published in Journal of psychopharmacology (Oxford) (01-11-2010)
    “…Zolpidem is one of the most frequently prescribed hypnotics, as it is a very short-acting compound with relatively few side effects. Zolpidem’s short duration…”
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  14. 14

    No evidence of the usefulness of eye blinking as a marker for central dopaminergic activity by van der Post, J., de Waal, P. P., de Kam, M. L., Cohen, A. F., van Gerven, J. M. A.

    Published in Journal of psychopharmacology (Oxford) (01-03-2004)
    “…This study aimed to evaluate eye blinking as a marker for central dopaminergic activity by investigating the effects of sulpiride (D2-antagonist) and lisuride…”
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  15. 15

    Generative adversarial networks for reconstructing natural images from brain activity by Seeliger, K., Güçlü, U., Ambrogioni, L., Güçlütürk, Y., van Gerven, M.A.J.

    Published in NeuroImage (Orlando, Fla.) (01-11-2018)
    “…We explore a method for reconstructing visual stimuli from brain activity. Using large databases of natural images we trained a deep convolutional generative…”
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  16. 16

    REM Sleep Effects as a Biomarker for the Effects of Antidepressants in Healthy Volunteers by Rijnbeek, B., de Visser, S. J., Franson, K. L., Cohen, A. F., van Gerven, J. M. A.

    Published in Journal of psychopharmacology (Oxford) (01-06-2003)
    “…The potential use of rapid eye movement (REM) sleep effects as a biomarker for the therapeutic effects of antidepressants in healthy volunteers is reviewed. A…”
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  17. 17

    The effects of the glycine reuptake inhibitor R213129 on the central nervous system and on scopolamine-induced impairments in psychomotor and cognitive function in healthy subjects by Liem-Moolenaar, M, Zoethout, RWM, de Boer, P, Schmidt, M, de Kam, ML, Cohen, AF, Franson, KL, van Gerven, JMA

    Published in Journal of psychopharmacology (Oxford) (01-11-2010)
    “…In this study the effects of R213129, a selective glycine transporter 1 inhibitor, on central nervous system function were investigated in healthy males in the…”
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  18. 18

    The Application of the Principles of Clinical Drug Development to Pharmacological Challenge Tests of the Serotonergic System by Gijsman, H. J., Cohen, A. F., Van Gerven, J. M. A

    Published in Journal of psychopharmacology (Oxford) (01-03-2004)
    “…Pharmacological challenge tests of the serotonergic system have extensively been used during the past 20 years and new tests are in development. It is of…”
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  19. 19

    The sensitivity of pharmacodynamic tests for the central nervous system effects of drugs on the effects of sleep deprivation by van Steveninck, A. L., van Berckel, B. N. M., Schoemaker, R. C., Breimer, D. D., van Gerven, J. M. A., Cohen, A. F.

    “…Various methods are used to quantify sedative drug effects, but it is unknown how these surrogate measures relate to clinically relevant sleepiness. This study…”
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  20. 20

    Convolutional neural network-based encoding and decoding of visual object recognition in space and time by Seeliger, K., Fritsche, M., Güçlü, U., Schoenmakers, S., Schoffelen, J.-M., Bosch, S.E., van Gerven, M.A.J.

    Published in NeuroImage (Orlando, Fla.) (15-10-2018)
    “…Representations learned by deep convolutional neural networks (CNNs) for object recognition are a widely investigated model of the processing hierarchy in the…”
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