Neuronal Dynamics of Cognition: Associative Memory

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Memory: Forgetting Curve

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

Synaptic Plasticity: Online Memory Learning

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

Neuroscience Inspired Artificial Intelligence

Explores the historical development of deep learning, reinforcement learning, attention mechanisms, and memory systems in AI inspired by neuroscience.

Memory Integration and Priming

Delves into memory integration, priming, and transfer of learning concepts.

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.

Learning: A Matter of Habits

Discusses learning habits, memory, and the episodic buffer in working memory.

Memory Systems and Brain Function

Explores memory systems, brain function measurement methods, and proteomics.

Nonlinear Supervised Learning

Explores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.

Memory Encoding: Principles and Techniques

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

Emotions in Learning: Understanding Stress, Sleep, and Self-Regulated Learning

Covers emotions, stress, sleep, and self-regulated learning, highlighting their impact on memory, cognition, and academic achievement.