Poster Presentation, Salzburg Mind Brain Annual Meeting, University of Salzburg, Salzburg, Austria.
Daniel Baldauf, Marco Bedini, Emanuele Olivetti, Paolo Avesani, Orhan Soyuhos. ‘What’ and ‘Where’ pathways within prefrontal cortex govern top-down attentional control through their differential connectivity fingerprints.
Poster Presentation, Vision Sciences Society, St. Pete Beach, FL, USA
Orhan Soyuhos, Daniel Baldauf. Functional Connectivity Fingerprints of Frontal Eye Field and Inferior Frontal Junction. Journal of Vision 2022;22(14):3390.
Class Presentation, Cognitive Control Lab meeting, UC Davis Center for Neuroscience, Davis, CA, United States
Research Article: Burrows, B. E., Zirnsak, M., Akhlaghpour, H., Wang, M., & Moore, T. (2014). Global selection of saccadic target features by neurons in area v4. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(19), 6700–6706. https://doi.org/10.1523/JNEUROSCI.0867-13.2014
Class Presentation, Perception, Cognition, and Cognitive Neuroscience Brown Bag Series, Young Hall, Davis, CA, United States
Research Article: Soyuhos, O., & Baldauf, D. (2023). Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex. The European journal of neuroscience, 57(7), 1114–1140. https://doi.org/10.1111/ejn.15936
Class Presentation, Neural Signals & Machine Learning Tools for Neural Data, Genome and Biomedical Sciences, Davis, CA, United States
Group members: Victoria Pierce, Orhan Soyuhos, and Niraj Gupta.
Class Presentation, Literature in Visual Neuroscience, Center for Neuroscience, Davis, CA, United States
Research Article: Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. (2016). Selective modulation of cortical state during spatial attention. Science (New York, N.Y.), 354(6316), 1140–1144. https://doi.org/10.1126/science.aag1420
Class Presentation, Interfaces Between the Study of Artificial and Biological Neural Systems, CIMeC, Rovereto, Italy
Research Article: Lake, B.M., Zaremba, W., Fergus, R., & Gureckis, T.M. (2015). Deep Neural Networks Predict Category Typicality Ratings for Images. Cognitive Science.
Class Presentation, Interfaces Between the Study of Artificial and Biological Neural Systems, CIMeC, Rovereto, Italy
Research Article: Wen, H., Shi, J., Zhang, Y., Lu, K. H., Cao, J., & Liu, Z. (2018). Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision. Cerebral cortex (New York, N.Y. : 1991), 28(12), 4136–4160. https://doi.org/10.1093/cercor/bhx268
Class Presentation, Advanced Topics in Motor Cognition, CIMeC, Rovereto, Italy
Research Article: Coll, M. P., Press, C., Hobson, H., Catmur, C., & Bird, G. (2017). Crossmodal Classification of Mu Rhythm Activity during Action Observation and Execution Suggests Specificity to Somatosensory Features of Actions. The Journal of neuroscience : the official journal of the Society for Neuroscience, 37(24), 5936–5947. https://doi.org/10.1523/JNEUROSCI.3393-16.2017
Class Presentation, Current Topics in Brain Connectivity, CIMeC, Rovereto, Italy
Research Article: Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J. M., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., & Fries, P. (2015). Visual areas exert feedforward and feedback influences through distinct frequency channels. Neuron, 85(2), 390–401. https://doi.org/10.1016/j.neuron.2014.12.018