Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Modeling the Brain: Machine Learning and Neuroscience

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (34)

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.

Peripersonal Space: Neural Representation and Self-Environment Interactions Log in to Mediaspace to watch this video

Delves into the concept of peripersonal space as a primary interface for self-environment interactions and its sensitivity to social perception.

Integrative Benchmarking: Advancing System Models of Human Intelligence Log in to Mediaspace to watch this video

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

Neural Networks: Perceptron Model and Backpropagation Algorithm Log in to Mediaspace to watch this video

Covers the perceptron model and backpropagation algorithm in neural networks.

Neural Networks: Hierarchical Models and Odor Taxis Log in to Mediaspace to watch this video

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Brain-Computer Interfaces: Advancements in Systems Neuroscience Log in to Mediaspace to watch this video

Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.

Deep Learning: Convolutional Networks Log in to Mediaspace to watch this video

Explores convolutional neural networks, backpropagation, and stochastic gradient descent in deep learning.

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

Feed-forward Networks Log in to Mediaspace to watch this video

Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.

Neuroscience and ML Log in to Mediaspace to watch this video

Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.

Neural Taskonomy and Historical Perspectives in Visual Intelligence Log in to Mediaspace to watch this video

Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

Learning from the Interconnected World with Graphs Log in to Mediaspace to watch this video

Explores learning from interconnected data using graphs, covering challenges, GNN design, research landscapes, and democratization of Graph ML.

Building Neural Networks: Assembling Brain Regions Log in to Mediaspace to watch this video

Discusses assembling neural networks by defining space and populating it with neurons, emphasizing the challenges and strategies for accurate morphologies and volume information.

Page 2 of 2