Lectures related to Decisions, actions, volition

Brain Intelligence: Continual Learning of Representational Models

Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.

Understanding the Hippocampus: Structure and Function

Explores the importance of the hippocampus in memory and spatial navigation, discussing its unique structure and implications for broader brain research.

Scientific Computing in Neuroscience

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

Spike-Timing Models of plasticity MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.

Controlling Behavior in Animals and Robots

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

Neuronal Dynamics: Decisions and Simulations MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores neuronal dynamics in decision making through simulations and experiments on populations of neurons.

Theory of Decision Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores decision dynamics in computational neuroscience, focusing on competitive models and effective 2-dimensional interactions between populations.

Neuronal Dynamics of Cognition: Decision Models MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores decision models in neuronal dynamics of cognition, covering competitive dynamics, perceptual decision making, and the theory of decision dynamics.

Introduction: Decision Making MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Covers decision models in computational neuroscience, focusing on competitive dynamics and perceptual decision making.

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.

Ring Attractor Dynamics in Drosophila Brain

Explores ring attractor networks in the Drosophila brain for maintaining heading direction during navigation.

Surprise, Curiosity and Reward: An Evolutionary Perspective

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Modeling Electrophysiology: Different Scales MOOC: Neuroscience Reconstructed: Genetics and Brain Development

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

Attractor Networks and Generalizations MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.

Fundamentals of Brain Connectomics

Introduces the basics of brain connectomics, including terminology, data preprocessing, functional MRI, connectivity measures, and modular structure.

Spatial Continuum: Field Equations MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores spatial continuum models, field equations, and coupling mechanisms in computational neuroscience.

Introduction into the module MOOC: Simulation Neurocience

Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.

Introduction to Systems Neuroscience: Memory Systems Overview Log in to Mediaspace to watch this video

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

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.

Neuroscience and Machine Learning: Understanding Visual Intelligence Log in to Mediaspace to watch this video

Explores the relationship between neuroscience and machine learning in visual intelligence.