{"id":2796,"date":"2022-09-09T16:21:35","date_gmt":"2022-09-09T15:21:35","guid":{"rendered":"https:\/\/dcbt.specs-lab.com\/dcbt23\/?page_id=2796"},"modified":"2023-05-06T06:08:33","modified_gmt":"2023-05-06T05:08:33","slug":"dcbt2023-projects","status":"publish","type":"page","link":"https:\/\/dcbt.specs-lab.com\/dcbt23\/dcbt2023-projects\/","title":{"rendered":"DCBT2023 Projects"},"content":{"rendered":"

DCBT2023 projects will be posted soon!<\/span><\/h3>\n
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Projects proposed in <\/span>DCBT2022 <\/span><\/h4>\n
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Spike Sorting<\/h4>\n

Supervisor Alessio Buccino <\/span><\/p>\n

\u2022 Project suggestions:<\/p>\n

1. Fine-tune your spike sorting approach<\/strong><\/span>: explore and try out different spike sorting strategies presented during the spike sorting tutorial on your own data. What is the best spike sorting algorithm? This project is recommended if you work with extracellular electrophysiology data and you want to improve your spike sorting procedure.<\/p>\n

2. Are strong spike correlations affecting spike sorting?<\/strong><\/span> Investigate whether correlations in neural activities are affecting spike sorting. f spikes are correlated there is a high chance of “spike collisions”, which degrade spike sorting. Is this really the case? You will simulate ground-truth recordings (using the MEArec simulator) with\/without correlations across spike trains and compare the results with SpikeInterface.<\/p>\n

\u2022 Tutor Availability: Monday 12th to Wednesday 14th<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>

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EEG Analysis<\/h4>\n

Supervisor Robert Oostenveld<\/span><\/p>\n

Description: We will be using the eeg-language dataset, recorded while participants attended the stimuli corresponding to concepts from different categories. All semantic exemplars were presented in three modalities: auditory, visual and orthographical. The recorded brain activity includes visual, orthographic, and auditory activity (for the modalities), and semantic activity (for the categories).<\/p>\n<\/div>\n<\/div>\n

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  1. Classification of trials between stimulus type<\/strong><\/span><\/li>\n
  2. Classification of trials between modalities<\/strong><\/span><\/li>\n
  3. Classification of trials between categories<\/strong><\/span><\/li>\n
  4. Identification of shared semantic representations<\/strong><\/span><\/li>\n
  5. Identification of temporal activation sequence (from sensory to conceptual)<\/strong><\/span><\/li>\n
  6. Identification of cortical networks (from sensory to conceptual)<\/strong><\/span><\/li>\n<\/ol>\n
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    – Tutor Availability:<\/p>\n<\/div>\n

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    https:\/\/www.fieldtriptoolbox.org\/workshop\/bcbt2022\/<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>

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    Large-Scale Models of Brain Dynamics<\/h4>\n

    Supervisor Francisco Santos<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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    Theoretical measures for BOLD Signal Analysis<\/h4>\n

    Supervisor Vivek Sharma<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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    Self Regulatory Synthetic Agents<\/h4>\n

    Supervisors Tue Ngo, Oscar Guerrero Rosado<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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    Generalization of Sequential Episodic Control<\/b><\/h4>\n

    <\/b>Supervisors Adri\u00e1n Fern\u00e1ndez Amil, Ismael Tito Freire<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>

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    Computational Modeling<\/strong><\/h4>\n

    Supervisor Adria\u0301n Ferna\u0301ndez Amil<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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