Causal Inference in Cognitive Neuroscience

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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.

Non-Invasive Brain Stimulation: Historical Overview and Applications

Covers the history and applications of non-invasive brain stimulation techniques in clinical settings.

Master in Neuro-X: Interdisciplinary Approaches to Neurotechnology

Presents the Master in Neuro-X program, emphasizing its interdisciplinary approach and career opportunities in neurotechnology.

Neuroscience and Machine Learning: Understanding Visual Intelligence

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

Neuroprosthetics: Advances in fMRI in Rodents

Explores new advances in fMRI in rodents, focusing on network psychology to physiology.

Concluding remarks

Summarizes the course on brain function, highlighting progress and future directions.

Taxes Behaviors: Simple Signals, Complex Behaviors

Explores how organisms respond to environmental signals, showcasing how simple algorithms can lead to complex behaviors.

Introduction to synaptic plasticity

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Causal Effects Bounds: Sensitivity Parameters on Risk Difference Scale

Explores deriving bounds for causal effects using sensitivity parameters on the risk difference scale, addressing limitations and proposing new approaches.

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