Convolutional Networks: Applications beyond Object Recognition

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 2 of 4

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Visual Circuit: Functional Pathways

Explores the visual circuit and its functional pathways for processing visual information.

Deep Learning: No Free Lunch Theorem and Inductive Bias

Covers the No Free Lunch Theorem and the role of inductive bias in deep learning and reinforcement learning.

Neuroscience and Machine Learning

Explores the intricate relationship between neuroscience and machine learning, highlighting the challenges of analyzing neural data and the role of machine learning tools.

Visual Processing in Zebrafish: Retinal Ganglion Cells and Behavior

Explores the visual processing in zebrafish, focusing on retinal ganglion cells and their role in behavior.

Microcircuit Modeling: Hippocampus Insights

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

Classical Vision Theories: Understanding Perception and Cognition

Provides an overview of classical vision theories, exploring how perception is shaped by psychological and environmental factors.

Brain Intelligence: Continual Learning of Representational Models

Delves into the continual learning of representational models in brain intelligence, emphasizing rapid adaptation to unstructured environments.

Decision-Making in Systems Neuroscience: Neural Dynamics and Algorithms

Explores the neural dynamics of decision-making, focusing on algorithms and the role of dopamine in learning and behavior.

Perceptual Modeling: Understanding Spatial Thinking and Vision

Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.