High Spatial Resolution Interfacing: Neural Tissue Imaging and Stimulation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Neural Tissue Interfacing: Techniques and Applications

Discusses tools for high-performance neural tissue recording and stimulation, including CMOS integration and extracellular recording techniques.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Neural Networks: Hierarchical Models and Odor Taxis

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

Brain Function: Experiments and Mechanisms

Covers key brain function experiments, hypothesis falsification, brain imaging, calcium measurement, and optogenetic tools.

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.

Single Neuron Data Collection Techniques

Covers the methods for studying single neurons, including morphology and electrophysiology profiling.

Generalized Integrate-and-Fire Models

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

Three definitions of rate code

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

Modeling Neuronal Activity

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

Networks of Spiking Neurons

Explores networks of spiking neurons, mean-field models, transfer functions, and predictions of state space and neuron behavior.