Ran Levi- Topological Analysis of Neural Networks
Explore topological analysis of neural networks, from C. elegans to complex brain structures. Discover surprising findings and innovative approaches in computational neuroscience.
A Roadmap for Reverse-Architecting the Brain’s Neocortex
Explore a roadmap for reverse-engineering the neocortex, from biological observations to computational primitives and functional building blocks, towards developing biologically plausible neural networks for unsupervised learning.
Leslie G. Valiant - Turing Award Lecture 2010
Explore computational learning theory, machine learning, and brain modeling with Leslie G. Valiant, 2010 ACM Turing Award winner, as he discusses his groundbreaking research and insights.
Synthetic Intelligence - With Zdenka Kuncic
Explore synthetic intelligence and its potential to replicate human-like thinking through neuromorphic technology, offering insights into the future of brain-inspired computing and its societal impact.
Matrix - Synapse: Open Source, Self-Hosted, Federated, End-to-End Encrypted Communication Server
Learn to set up a self-hosted Matrix/Synapse server using Docker, including installation, configuration, and administration. Gain hands-on experience with open-source communication infrastructure.
Decoding Animal Behavior Through Pose Tracking
Explore deep learning techniques for animal pose tracking and behavior analysis, from fruit flies to giraffes. Learn to apply computer vision methods to quantify and interpret animal body language across species.
The Power of Self-Learning Systems
Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.
Reinforcement Learning
Explore reinforcement learning concepts and their applications in psychology and neuroscience. Hands-on exercises demonstrate how algorithms explain animal learning and dopamine neuron firing.
A Bio-Inspired Bistable Recurrent Cell Allows for Long-Lasting Memory
Explore a bio-inspired recurrent cell design that enhances long-term memory in neural networks, inspired by neuronal bistability and offering improved performance on time-series tasks requiring extended recall.
Backpropagation and the Brain
Explore a biologically plausible variant of backpropagation and its potential role in brain learning, discussing feedback connections and error signal approximation in cortical networks.
Reinforcement Learning, Fast and Slow
Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.
Deep Image Reconstruction from Human Brain Activity
Explores innovative technique for reconstructing visual imagery from brain activity using fMRI and deep neural networks, demonstrating potential for "mind-reading" technology and insights into neural representations.
Backpropagation and Deep Learning in the Brain
Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.
Weaving Together Machine Learning, Theoretical Physics, and Neuroscience
Exploring the intersection of machine learning, physics, and neuroscience through complex systems analysis to develop better algorithms and understand neural systems.
How Brain Computations Can Inspire New Paths in AI - Part 2
Explore brain-inspired AI advancements, focusing on object recognition, contextual reasoning, and model performance. Gain insights into cutting-edge computational approaches and their applications.
Cancer Detection in Brain Using Deep Learning
Learn to detect brain tumors using deep learning, CNN, and TensorFlow. Build, train, and test a model for classifying brain images with hands-on coding and practical implementation.
The Deep Learning Revolution
Explore the evolution of deep learning, from its origins to modern applications, covering key milestones, breakthroughs, and future prospects in AI and neuroscience.
What Information Dynamics Can Tell Us About Brains
Explore information dynamics in complex systems, focusing on intrinsic computation, information transfer, and applications in neuroscience and network analysis.
Machine Learning and AI for the Sciences - Towards Understanding
Explore ML and AI applications in sciences, focusing on neuroscience, medicine, and physics. Learn about extracting insights from ML models to enhance understanding in fields like quantum chemistry.
TinyML4STEM - Using TinyML for Neuroscience in K12
Explore how tinyML and neuroscience combine to create engaging STEM education experiences for K-12 students, featuring insights from a successful pilot collaboration with Backyard Brains.
Kubernetes from Scratch for Neuroscientific Research
Explore how the Blue Brain Project implemented Kubernetes for neuroscientific research, detailing their journey, challenges, and solutions in building a tailored cluster setup for scientific organizations.