Understanding Neurorobotics

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Related lectures (31)

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Introduction to Systems Neuroscience: Memory Systems Overview

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

Neuroscience and Machine Learning: Understanding Visual Intelligence

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

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

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

Concluding remarks

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

Behavior: Neuroscience and Embodiment

Explores the link between behavior, neuroscience, and embodiment in shaping movement and understanding brain function.

Cellular Mechanisms of Brain Function

Covers the structure of a neuroscience course, focusing on cell membrane, ion channels, synaptic transmission, and brain function.

Brain function and behavior

Investigates the causal mechanisms of behavior through brain function at the neuronal level.

Neural Modeling: From Sensory Systems to Behavior

Explores neural modeling of sensory systems and behavior using deep neural networks and task-driven networks.

Sensorimotor Interactions

Delves into the cellular mechanisms of sensorimotor interactions in the brain, emphasizing whisker movement control.

Integrative Benchmarking: Advancing System Models of Human Intelligence

Explores advancing system models of human intelligence through integrative benchmarking and the importance of Brain-Score for fair model comparisons.