Spatial Continuum: Field Equations

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Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Explores columnar processing in the cortex, decision-making tasks, and the transition from spatial information to action.

Covers NeuroM basics, including checking neuron quality, extracting morphometrics, and visualizing neurons in different formats.

Explores how global order arises from local interactions in neural networks.

Explores neuronal dynamics in computational neuroscience, emphasizing population activity, cortical connectivity, and connectivity schemes in models.

Delves into the perception of biological motion and its implications on human perception and animation quality.

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

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Explores perceptrons in neural networks and their analogy with the visual system.

Explores the historical development of computer vision and inspires innovative project ideas.