Neuronal ensemble

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Related lectures (32)

Page 3 of 4

Concluding remarks

Summarizes the course on brain function, highlighting progress and future directions.

Neuronal Dynamics: Random Networks

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

Stationary Mean-Field: Neuronal Dynamics

Explores the stationary mean-field concept in computational neuroscience to predict neuronal activity based on population and single neuron firing rates.

Structured Synaptic Connectivity in Hippocampal Regions

Explores synaptic connectivity in hippocampal regions, emphasizing the complexity of neuronal networks and the role of modeling approaches.

Modeling Neuronal Activity

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

Neuronal Activity Probing: Optogenetics & Calcium Tools

Explores light- and calcium-gated tools for probing neuronal activity, focusing on optogenetics and fusion protein engineering.

Stochastic numerical methods for many-body quantum systems

Explores stochastic methods for quantum systems, including exact diagonalization, variational methods, neural networks, and machine learning.

Imaging Whole-Brain Activity with Functional Ultrasound

Explores functional ultrasound imaging to understand brain-wide activity and behavior modulation.

Neural Mechanisms of Orientation Mapping

Explores neural mechanisms of orientation mapping in flies using place cells and head-direction cells, visual landmarks, and self-motion cues.

Neural Networks: Hierarchical Models and Odor Taxis

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.