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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
NEWS!
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Classification in sEEG Forced Two-Choice Task
During the NeuralStorm Workshop 2023, Wenqing and I from CCLAB teamed up for a small competition held on the final day. We employed machine learning methods to classify choices made in a sEEG Forced Two-Choice Task based on summary statistics derived from several frequency bands, tying for first place!
Decoding Motor Responses from Neural Spike Activity
This project was assigned to me during my elective course from the Department of Biomedical Engineering at UC Davis. I employed machine learning methods to decode and understand the rats’ neural responses in the motor cortex to a tilting platform.
Functional Connectivity Fingerprints of FEF and IFJ
This was my master’s thesis project at the University of Trento. Under the supervision of Dr. Daniel Baldauf, we investigated the dissociative functional roles of the FEF and IFJ within the prefrontal cortex. We examined the functional phase and power coupling of these regions, in addition to their directed influences. Our findings were later published in the European Journal of Neuroscience!
Object vs Scene Perception
I worked on this project during my internship in Object Vision Group at CIMeC. For a dataset of object and scene images, I used transfer learning to test the feature extraction of several neural networks by applying representational similarity analysis (RSA).
Object Appearance vs Object Category
This project is my final assignment for the Advanced Hands-on fMRI Analysis course during my master’s degree. It was a great experience! I applied multiclass decoding and representational similarity analysis to the fMRI data by using CoSMoMVPA toolbox.
Naturalistic Video Reconstruction From Brain Activity
I worked on this project during my Erasmus+ internship at the Donders Institute. Based on the subject’s eye-tracking data, my research aimed to enable naturalistic video reconstruction from the brain data of participants who have free-viewed movies during fMRI recording.
Decoding Number Presentation from EEG
A small group project from the Neural Networks in Neuroscience seminar.
Interactive Learning Environment for Teaching English to Kids
This project is my final assignment for the Introduction to MATLAB course during my master’s degree, where I used Psychtoolbox to write an interactive learning environment for teaching English to kids.
The Dynamics of Functional Connectivity
A review paper that I wrote for the final assignment for Brain Connectivity course during my master’s degree.
Information Flow Between Ventral and Dorsal Streams During Complex Tool Use
A research proposal that I wrote for the final assignment for Motor Cognition course during my master’s degree.
THE EXPLANATORY GAP AND CODE-DUALITY: Reconsidering The Mind-Body Dualism
An old paper I wrote for an independent study during my bachelor’s in philosophy. 
publications
Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex
Published in European Journal of Neuroscience, 2023
Recommended citation: 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
talks
Poster presentation at Vision Sciences Society conference (VSS 2022)
Published:
Orhan Soyuhos, Daniel Baldauf. Functional Connectivity Fingerprints of Frontal Eye Field and Inferior Frontal Junction. Journal of Vision 2022;22(14):3390.
Poster presentation at Salzburg Mind Brain annual meeting (SAMBA 2023)
Published:
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.
talks_2
Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels - Bastos et al., 2015
Published:
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
The Specificity of Mu Rhythm Activity - Coll et al., 2017
Published:
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
Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision - Wen et al., 2018
Published:
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
Deep Neural Networks Predict Category Typicality Ratings for Images - Lake et al., 2015
Published:
Research Article: Lake, B.M., Zaremba, W., Fergus, R., & Gureckis, T.M. (2015). Deep Neural Networks Predict Category Typicality Ratings for Images. Cognitive Science.
Selective Modulation of Cortical State During Spatial Attention - Engel et al., 2016
Published:
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
BMI Decoder Flexibility: Embracing Modularity
Published:
Group members: Victoria Pierce, Orhan Soyuhos, and Niraj Gupta.
Spatial versus Nonspatial Processing in the Prefrontal Cortex: FEF and IFJ
Published:
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
Global Selection of Saccadic Target Features by Neurons in Area V4
Published:
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
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.