Lectures related to Collective Behavior in Drosophila

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Controlling Behavior in Animals and Robots

Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

Neural Signals and Signal Processing: Modeling and Simulation

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Neuronal Dynamics: Random Networks MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

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

Collective Behavior in Schooling Fish

Delves into the collective behavior of schooling fish and the impact of boundary effects on group dynamics.

Blue Brain: Neocortical Microcircuitry

Covers the Blue Brain project's history, neocortical microcircuitry, neuron morphologies, and ion channel behavior.

Injecting a current MOOC: Simulation Neurocience

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

Microcircuit Modeling: Hippocampus Insights MOOC: Simulating a hippocampus micro-circuit

Covers the simulation of a hippocampus microcircuit for understanding brain function and behavior.

In Silico Neuroscience: Network Simulation

Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.

Approaches and Rationale of Simulation Neuroscience MOOC: Simulation Neurocience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Modeling Neuronal Activity

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

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Calculating Extracellular Potentials: Interpretation and Measurement MOOC: Simulating a hippocampus micro-circuit

Explores the significance of calculating extracellular potentials for signal interpretation and measurement in neural circuits.

Network Simulation and Activity Dynamics Log in to Mediaspace to watch this video

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Network Simulation: Spontaneous Activity and Validation Log in to Mediaspace to watch this video

Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.

Scientific Computing in Neuroscience Log in to Mediaspace to watch this video

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.

Computational Neuroscience: Biophysics & Modeling Log in to Mediaspace to watch this video

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Finite Element Methodology Log in to Mediaspace to watch this video

Explores finite element methodology, covering geometric modeling, technical data, physical behavior assumptions, and mesh convergence studies.

Untitled Log in to Mediaspace to watch this video

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.