Resolving Human Brain Responses in Space and Time
Explore cutting-edge techniques for mapping brain responses, uncovering insights into visual and auditory perception, memory, and cognitive processes.
Modeling the Influence of Feedback in the Visual System
Explore how feedback influences visual processing, using masking studies and network modeling to understand its impact on classification accuracy and neural activity.
Functional Specificity in the Human Brain - What, Whether, and Why?
Explore the functional specificity of the human brain, examining key questions, methodologies, and findings in cognitive neuroscience with MIT researcher Nancy Kanwisher.
Understanding Auditory Cortical Computation
Explore auditory processing through computational models, comparing AI and human performance in speech recognition, sound localization, and pitch perception.
Toward Brain Computer Interface - Deep Generative Models for Brain Reading
Explore deep generative models for brain reading, covering GAN implementation, image reconstruction from brain signals, and evolving latent codes using genetic algorithms.
Relating the Structure of the Brain to Its Function by Tracking a Net-Wave of Spikes
Explore brain structure-function relationships through spike tracking in the visual hierarchy, using advanced techniques like neural pixels and high-resolution 3D atlases.
Using Population Decoding to Understand Neural Content and Coding
Explore neural population decoding to uncover abstract representations in the brain, analyzing experiments on invariance and information processing in visual cognition.
Functional Imaging of the Human Brain - A Window into the Organization of the Human Mind
Explore brain imaging techniques revealing mind organization, focusing on temporal lobe functions, face perception, and cognitive neuroscience methods for understanding human cognition and behavior.
A Computational Explanation for Domain Specificity in the Human Visual System
Exploring how domain-specific organization in the brain emerges from computational optimization for face and object recognition tasks, using artificial neural networks to model cortical segregation.
Predictive Maps in the Brain
Explore reinforcement learning theory using predictive maps, bridging model-based and model-free approaches. Discover insights into hippocampal spatial representation and entorhinal grid cells.
Exploring How the Nervous System Produces Movement Sequences
Explore how the nervous system orchestrates movement sequences, focusing on grooming behaviors in flies and the neural circuits responsible for specific grooming movements.
Feedforward and Feedback Processes in Visual Recognition
Explore visual recognition processes, comparing deep learning models with neuroscience-inspired approaches. Gain insights into complex visual reasoning and potential advancements in AI through computational neuroscience.
Neuroscience Methods Tutorial
Explore diverse neuroscience methods including psychophysics, electrophysiology, and signal analysis. Learn about electrode types, spike sorting, and oscillatory activity.
Recurrent Computations in Cortex
Explore recurrent computations in the brain's cortex, focusing on visual processing, neural networks, and cognitive models to understand human perception and cognition.
Building Brain Observatories for Large-Scale Cellular Surveys
Explore large-scale cellular surveys in brain research, focusing on innovative techniques, reproducibility, and the creation of comprehensive brain observatories for advanced neuroscience studies.
The Diversity of Cell Types in the Human Brain
Explore the diverse cell types in the human brain, their classification, and implications for neuroscience and consciousness, with insights from cutting-edge research techniques.
Demonstration of MEG Data Analysis Using Brainstorm
Learn to analyze MEG data with Brainstorm software, covering import, preprocessing, visualization, and advanced analysis techniques like dynamic statistical parametric mapping and source localization.
MEG-EEG Source Estimation Approaches: A Spectrum of Purpose-Built Optimal Tools
Explore MEG/EEG source estimation techniques, from dipole models to cortically-constrained approaches. Learn about neural source localization, forward modeling, and applications in neuroscience research.
Cortical Travelling Waves- Mechanisms and Computational Principles
Explore mechanisms and computational principles of cortical travelling waves, covering visual cortex, hippocampus, sleep spindles, and memory consolidation in neuroscience research.
Circuitry and Mathematical Codes for Navigation in the Brain
Explore neural circuits and mathematical codes underlying animal navigation, focusing on computational problems and spatial representations in the brain.
How Fast Is a Neural "Winner-Take-All" When Deciding Between Many Noisy Options?
Explore neural decision-making mechanisms, focusing on the speed and efficiency of "winner-take-all" processes in noisy environments. Gain insights into parallel strategies and canonical circuits.