Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python
Learn Python-based machine learning techniques for neural decoding, focusing on preprocessing, model selection, and optimization for spike trains and local field potentials from macaque cortical areas.
Memory Training with a World Record Holder
Learn memory techniques from world record holder Boris Konrad. Discover the "Method of Loci" and build mental infrastructure to memorize 50 random items in this interactive workshop led by a neuroscientist and memory expert.
Psychophysiological Interactions
Explore psychophysiological interactions in neuroimaging, covering terminal time series, beta weights, and processing techniques for advanced brain connectivity analysis.
The Neural Basis of Perceiving Human Visual Social Perception
Explore neural mechanisms of visual object recognition and social perception using MEG, fMRI, and computational modeling. Discover how the brain processes visual scenes, objects, and social interactions over time.
Using Decoding to Understand Neural Algorithms
Explore neural decoding techniques to uncover algorithms in the brain's visual processing, focusing on information representation, invariance, and attention in neural networks.
Neural Event Triggered fMRI - NET-fMRI
Explore neural event-triggered fMRI with Nikos K. Logothetis, covering multiunit activity, bandlimited power signals, and memory systems in this advanced neuroscience presentation.
Computational Models of Human Vision - Part 2
Explore computational approaches to human vision, focusing on encoding, decoding, and behavioral metrics in the ventral stream and identity manifold.
Alignment and Atlases - Part 2 of 2
Explore advanced neuroimaging techniques including motion correction, template spaces, atlases, and nonlinear warping for improved brain mapping and analysis.
Alignment and Atlases - Part 1 of 2
Learn techniques for aligning brain imaging data and using atlases, covering motion correction, affine transformations, and specialized alignment tools for neuroimaging analysis.
Everything You Always Wanted to Know About the Visual System but Were Afraid to Ask
Explore the intricacies of visual perception, from anatomy to cognitive processes, with insights on recognition, scenes, and eye movements in this comprehensive overview.
Functional Imaging of the Human Brain - A Window into the Organization of the Human Mind
Explore the organization of the human mind through functional brain imaging, covering topics from face recognition to music processing and evolutionary perspectives.
A New Theory for How the Brain Learns
Explore a novel theory on brain learning, focusing on neuronal burst firing for feedback signaling and solving the credit assignment problem in hierarchical circuits.
Why Companies Can't Design Sustainable, Eco-Friendly Products
Explore the challenges of sustainable product design, examining systemic issues, material complexities, and conflicting incentives that hinder eco-friendly innovation in the industrial design process.
Methods for Differential Equations Physics Students Need to Know
Explore five powerful methods for solving differential equations in physics: ansatz, energy conservation, series expansion, Laplace transform, and Hamiltonian flow, with practical applications to harmonic oscillators.
Black Holes and the Quantum-Extended Church-Turing Thesis - Quantum Colloquium
Explore black holes' impact on quantum computing, featuring insights from renowned physicists on horizon properties, information extraction, and the quantum-extended Church-Turing thesis.
Is There Evidence of Exponential Quantum Advantage in Quantum Chemistry - Quantum Colloquium
Explore theoretical and empirical evidence for exponential quantum advantage in ground-state energy determination for chemical problems, examining state preparation methods and numerical simulations.
Making Predictions in a Quantum World - Quantum Colloquium
Explore quantum predictions: efficient learning methods, impossible problems, and how quantum technology enhances our predictive capabilities in physics and chemistry.
Classical Shadows of Quantum States - Quantum Colloquium
Explore quantum state representation, shadow tomography, and machine learning applications in quantum many-body problems with John Preskill's insightful lecture on classical shadows.
The Area-Law Conjecture in Many-Body Quantum Physics - Quantum Colloquium
Explore the area-law conjecture in quantum physics, its implications for simulating quantum systems, and recent breakthroughs towards proving it in 2D systems.
Liquid Time Constant Networks
Explore time-continuous neural networks, focusing on Liquid Time Constant Networks and their stable state, expressivity, and performance in dynamic causal modeling.
Deriving the Heat Equation - A Parabolic Partial Differential Equation for Heat Energy Conservation
Comprehensive derivation of the heat equation, exploring its mathematical foundations and physical principles in thermal energy conservation and transfer.