Lectures related to Single-unit recording

Neural Signal Recording: Electrode Types and Applications

Explores various electrode types for neural signal recording and their applications in in-vivo and in-vitro settings.

Neural Signal Recording: Electrode Types and Applications

Explores neural signal recording methods using various electrode types for in-vivo and in-vitro studies.

Experimental Data Techniques: Caveats and Summary

Explores the study of single neurons, challenges in classification, and obtaining high-resolution data.

High Spatial Resolution Interfacing: Neural Tissue Imaging and Stimulation

Explores CMOS techniques for extracellular recording, high spatial resolution interfacing, neural tissue stimulation, and imaging chips.

Single Neuron Data Collection Techniques

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

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.

Optical Methods: State of the Art and Applications

Explores the state of the art in optical methods for recording neural activity and introduces voltage-sensitive dyes for high signal-to-noise ratio voltage mapping.

Neural Tissue Interfacing: Techniques and Applications

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

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.

In vivo electrophysiology

Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.

Engineering brain activity patterns for therapeutics

Discusses correcting aberrant brain-wide activity patterns using distinct network motifs and neuromodulators.

Injecting a current

Explains injecting current into a neuron, creating recordings, running simulations, and handling synapses.

Dendrite as a Cable

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Downloading and Interacting with Single Cell Models

Covers downloading, extracting, compiling, and visualizing single cell models for analysis and simulation.

Structured Synaptic Connectivity in Hippocampal Regions

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

Flexible Probes: Electronic Integration

Explores the integration of silicon membranes into deformable structures and the creation of neural implants with electronic components directly at the electrode array level.

In Silico Neuroscience: Network Assembly

Explores assembling in silico neuroscience networks, defining space, and dealing with sparse data to reconstruct brain regions.

Connecting a single neuron to the brain

Emphasizes the importance of connecting a single neuron to the entire brain to understand cascade events at a larger scale.

Three definitions of rate code

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

Leaky Integrate-and-Fire Model

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