Lectures related to Expertise Acquisition: Deliberate, Spaced, Interleaved Practice

Why Revise Courses During the Semester

Highlights the significance of revising course material during the semester to improve learning outcomes.

Implementation of Lists: SArrayList

Covers the implementation of lists using the SArrayList class and methods for adding, removing, and getting elements.

Memory Retention: Implementation of Lists (III)

Covers the implementation of lists in Java, focusing on memory management techniques.

Memory Encoding: Principles and Techniques

Discusses memory encoding principles and techniques to enhance retention and recall.

Working Memory and Learning Processes

Examines the connection between working memory and learning processes through interactive polling sessions.

Recent Advances: Gender and Memory Recall

Explores gender differences in memory recall and the impact of visual cues and reminders.

Memory: Forgetting Curve

Explores making memories, forgetting, and the Forgetting Curve in memory retention and learning.

Cognitive Load: Understanding Memory and Errors

Explores cognitive load, memory limits, and split attention impact.

Effective Note Taking: Laptop vs. Handwritten

Compares longhand and laptop note taking for learning, emphasizing the detrimental effects of verbatim transcription on understanding and retention.

Neuroplasticity in Rehabilitation

Explores the role of practice and training in rehabilitation, emphasizing the importance of effortful training and the use of stimulation to enhance motor function.

Synaptic Plasticity: Online Memory Learning

Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.

Nanosciences: Giant Magnetoresistance

Explores Giant Magnetoresistance and Tunnelling Magnetoresistance in spintronics for information storage technologies and memory types.

Memory Hierarchies: Introduction and Technological Constraints

Introduces memory storage technologies, hierarchies, and their impact on performance.

Stress and Learning: Effects and Implications

Examines the effects of stress on learning and the importance of teacher-student relationships on engagement and achievement.

Stochastic Hopfield model

Explores the Stochastic Hopfield model, noisy neurons, firing probabilities, memory retrieval, and overlap equations in attractor networks.

Memory Encoding and Neuroplasticity

Explores memory encoding, neuronal plasticity, types of memory, brain regions, and clinical cases.

Attractor Networks: Hopfield Model Generalizations

Explores attractor networks and Hopfield model generalizations in computational neuroscience, focusing on memory retrieval and dynamics convergence.

Postmortem Memory Analysis

Explores postmortem memory analysis using news and social media data, investigating biographic correlates and memory patterns.

Modeling the Role of Hippocampus in Memory

Delves into the critical role of the hippocampus in memory formation, focusing on declarative memory and spatial representation.

Attractor Networks and Generalizations

Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.