Data Driven Model Building and Visualisation

Related lectures (32)

Page 3 of 4

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

Provides an overview of neuroanatomy, focusing on the central nervous system structures and neuron types.

Covers the ABBA workflow for processing and analyzing brain images using QuPath and OMERO.

Covers data visualization techniques, tools, and concepts for effective data representation.

Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.

Highlights the importance of visualization in neuroscience, showcasing its role as a complementary tool to analytical processes.

Covers molecular neuroscience, neurodegeneration, cell types, neuron structure, and history of neuroscience breakthroughs.

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Explores reward-based learning in neuronal networks and the role of dopamine in synaptic plasticity.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.