BIOENG-450: In silico neuroscience

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Lectures in this course (28)

Reconstructing Brain Regions: Challenges and Strategies

Explores challenges in brain region modeling using atlases and strategies to compensate for missing data and assumptions.

Future of Computing: Intersecting Simulation and Technology

Explores the future of computing, including the impact of Moore's law, differences between CPUs and GPUs, and the evolution of conventional and neuromorphic hardware.

Neuromorphic Computing: Challenges and Future

Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.

In Silico Neuroscience: Network Assembly

Explores assembling in silico neuroscience networks, defining space, and dealing with sparse data to reconstruct brain regions.

Simplified Neuron Models: Analytical Approachability

Explores simplified neuron models, focusing on random walk behavior and its implications on spiking activity.

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.

Neuroscience Techniques: Brain Classification & Study

Explores neuroscience techniques for brain classification and study at different scales.

In Silico Neuroscience: Transegic Mice and Optogenetics

Explores transegic mice and optogenetics in neuroscience research, focusing on precise gene expression control and neural activity modulation.

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