Neuronal Dynamics: D2 Transients

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Neural Model: Assemblies of Neurons and Language Acquisition

Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.

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.

Leaky Integrate-and-Fire Model

Explores the Leaky Integrate-and-Fire Model in computational neuroscience, emphasizing single neuron dynamics.

Likelihood of a spike train

Discusses the likelihood of spike trains based on generative models and log-likelihood calculations from observed data.

MathDetour 1: Separation of time scales

Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.

Modeling in vitro data

Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.

Variability: Sources and Neural Code

Discusses the sources of neural variability and the reliability of spike timing.

Stochastic spike firing in integrate-and-fire models

Explores stochastic spike firing in integrate-and-fire models and its impact on neural coding.

Rate Codes versus Temporal Codes

Compares rate codes and temporal codes in neural dynamics, emphasizing timing codes, stochastic resonance, and neural coding challenges.

Firing Threshold in 2D Models

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