Understanding Neurorobotics

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Neuroscience and AI: Bridging the Gap

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Controlling Behavior in Animals and Robots

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

Cellular Mechanisms of Brain Function

Delves into the cellular mechanisms of brain function, comparing mouse and human brains to develop treatments for brain diseases.

Computer Vision: Historical Insights and Project Inspirations

Explores the historical development of computer vision and inspires innovative project ideas.

Introduction into the module

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

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.

Biological and non-biological bodies

Explores the components of neuro robots and compares them to actual animals.

Understanding Proprioception: Neural Network Models

Explores how neural networks can help understand proprioception and muscle contraction.

Graph Signal Processing for the Brain

Explores Graph Signal Processing applied to brain networks, emphasizing the relationship between brain function and structure using methods like Graph Fourier Transform and Structural-Decoupling Index.

Neuronal Plasticity: Synaptic Changes and Brain Functioning

Explores neuronal plasticity, synaptic changes, brain functioning, and unconscious states through various mechanisms.