Biological neuron model

Natural sciences
Biology
Neuroscience
Computational neuroscience

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Escape noise

Explores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.

Analysis of a 2D neuron model: Constant input

Explores the behavior of a 2D neuron model with constant input.

Constraining neuron models with experimental data

Explores constraining neuron models with experimental data, emphasizing the importance of deriving parameters from experimental data.

Neural Signals and Signal Processing

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

Neuron Models: Type I and Type II

Explores two-dimensional neuron models, Type I and Type II, discussing firing thresholds and Hopf bifurcation.

Mean-field Argument: Asynchronous Activity

Explores stationary asynchronous activity in neuronal populations and the mean-field argument.

Threshold in the Hodgkin-Huxley Model

Explores the firing threshold in the Hodgkin-Huxley model and the behavior of neurons under different current inputs.

Neuronal Dynamics: Random Networks

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Modeling Electrophysiology: Different Scales

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

Modeling Neuronal Activity

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