Concept

Computational neuroscience

Related lectures (32)

Downloading and Interacting with Single Cell Models

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

EFEL for Trace Analysis

Covers the use of eFEL for automated analysis of neuronal traces and parameter optimisation.

Neural Interfaces: Circuits and Electronics

Explores neural interfaces, merging Engineering, Neuroscience, and Computer Science.

Structural Plasticity of Synapses: Applications in Neuroscience

Delves into the structural plasticity of synapses and its applications in neuroscience.

Neuronal Dynamics: Solution Types

Explores solution types in computational neuroscience, focusing on homogeneous and bump solutions in neuronal dynamics.

Compiling Synapse NMODL.mod file

Covers the process of compiling NMODL.mod files for synapse modeling using NEURON and creating a neuron to host the synapse.

Spike Response Model (SRM)

Covers the Spike Response Model (SRM) in computational neuroscience and its relation to the adaptive leaky integrate-and-fire model.

Physiology of CA1 cells

Explores the physiology of CA1 cells in the hippocampus microcircuit, emphasizing firing patterns of interneurons and their correlation with calcium-binding proteins.

Experimental Data Techniques: Caveats and Summary

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

Comparison of Noise Models

Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.

Neuroscience and Information Technology

Explores the symbiotic relationship between neuroscience and information technology, emphasizing the need for new computational paradigms and innovative applications.

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.