Models of neural computation

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Related lectures (32)

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Neural Signals and Signal Processing

Explores neural signals, brain imaging techniques, and brain organization, emphasizing the importance of understanding brain imaging methods and measuring brain signals noninvasively.

Firing Threshold in 2D Models

Explores firing thresholds in 2D neuron models, pulse input, delayed spike initiation, and the FitzHugh-Nagumo model.

Biophysical Models: Ion Channels

Explores the zoo of ion channels and their functional roles in biophysical neuron models.

Neural Signals and Signal Processing

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Neural Signals and Signal Processing: Modeling and Simulation

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Playing with colours to add contrast

Explores assigning random colours to neurons for clearer visual results.

Biophysical Understanding of Neuronal Electrical Behavior

Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.

Neural Signals and Connectomes

Explores neural signals, connectomes, graph theory, and multi-voxel pattern analysis in fMRI trials.

Modeling Neuronal Activity

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