Concept

Cognitive neuroscience

Related lectures (32)

Observing the Brain: Neuroimaging Basics

Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.

Causal Inference in Cognitive Neuroscience

Explores the promises of causal inference in cognitive neuroscience using neurostimulation approaches to understand brain-behavior relationships.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Digital Education Technologies

Explores digital education technologies, cognitive loads, instructional design, and cognitive tasks.

Expertise in Projects

Explores the differences between experts and novices in project management and the development of expertise through practical experiences.

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.

Exam Guidelines: Preparation and Grading

Explains exam guidelines, cognitive levels, formula preparation, and grading criteria.

Introduction to Dynamic Functional Connectivity

Covers sliding window analysis, point-process analysis, and auto-regressive models in dynamic functional connectivity.

Neuroscience and AI: Bridging the Gap

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

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.

Dominance and Social Hierarchy

Explores dominance and social hierarchy in humans, including indicators of dominance, hormones' role, and leadership in contemporary societies.

Gene interactions and networks

Explores gene interactions, regulatory networks, genetic variability, and computational models for genetic dynamics.

Physiological properties of human neurons

Explores the physiological properties of human neurons, including EPSP stability and capacitance impact on spike probability and information encoding.

Discrete Keying Sequences: Cognitive and Neural Models

Explores cognitive and neural models of sequential motor skills, focusing on the discrete sequence production task and neural substrates.

Theories and Approaches to Learning

Explores learning theories in project contexts to improve learning approaches and outcomes.

Designing Effective Learning Environments

Summarizes key concepts on instructional design and flipped classrooms for effective learning environments.

Introduction to Modeling

Introduces modeling in neuroscience, focusing on the brain's complexity and investigation methods.

Neuronal Dynamics: Aims and Challenges

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

Downloading and Interacting with Single Cell Models

Covers downloading, extracting, compiling, and visualizing single cell models for analysis and simulation.

Neurosciences I: Molecular Neuroscience and Neurodegeneration

Covers molecular neuroscience, neurodegeneration, cell types, neuron structure, and history of neuroscience breakthroughs.