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Explore how general anesthesia alters neural oscillations in the brain with MITCBMM. Learn from Prof. Emery Brown, understand the impact of anesthesia on neural signals, and potential methods for restoring brain function post-anesthesia.
Learn to incorporate Singularity, an HPC container service, into your workflow with this 1-2 hour tutorial by MITCBMM's Satrajit Ghosh. Ideal for reproducible research.
Explore the history of neuroimaging research on face recognition with MITCBMM. Dive into topics like inversion effect, functional MRI, and anatomical variability in under an hour.
Dive into M-theory with MITCBMM's concise program. In under an hour, explore core theory, invariant representation, theorems, and biological predictions.
Explore early vision and recognition with MITCBMM's short program. Learn about deep networks, processing hierarchy, and pedestrian detectors from Pietro Perona of Caltech.
Explore the complexity of compositional models with MITCBMM's online material, featuring insights from UCLA's Alan Yuille. Dive into data-driven models, feedback, hierarchies, and more in under an hour.
Explore high-dimensional classification, wavelet translation, and deep convolution networks in less than an hour with MITCBMM's online offering.
Explore early vision transformations and symmetry arguments in this MITCBMM offering. Learn about visual processing, machine vision, and edge detection in under an hour.
Dive into recurrent neural networks with MITCBMM's online material, featuring 1-2 hours of content by Larry Abbott. Explore models, spikes, and effective connectivity.
Explore dynamical systems in neuroscience with MITCBMM's online material. Ideal for grad students and postdocs with computational interest. Includes lectures, exercises, and discussions.
Explore dimensionality reduction, cluster computing, and OpenMind in this MITCBMM tutorial. Ideal for grad students and postdocs with computational interest. Less than 1 hour workload.
Dive into Multiple Kernel Learning with Prof. Lorenzo Rosasco from MITCBMM. Expect 1-2 hours of material covering vector notation, proxy operators, and more.
Dive into the learning problem and regularization with Prof. Tomaso Poggio's 1-2 hour material from MITCBMM, covering key properties, error types, algorithms, and more.
Explore computer vision and language methods with MITCBMM's concise program, covering topics from video captioning to unified cost functions.
Explore human-human communication and its application in human-robot dialogue with MITCBMM. Learn about referential grounding, interaction flow, and action learning in under an hour.
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