Concept

Encoding (memory)

Related lectures (31)

Time Series: Forecasting and Long Memory

Explores forecasting in time series analysis, long memory processes, and ARCH models for volatility modeling.

Hopfield Model: Memory and Dynamics

Explores the Hopfield Model for associative memory and its dynamics.

Memory Encoding: Principles and Techniques

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

How Memory Functions

Delves into sensory, short-term, and long-term memory processes, including iconic and echoic memories, rehearsal techniques, and the working memory model.

Neuronal Dynamics of Cognition: Associative Memory

Explores associative memory in neuronal networks, neuronal structure, and information processing.

The Three Models of Memory

Delves into the Multi-Store Memory Model, Working Memory Model, and memory principles.

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.

Storage Capacity: Prototypes and Neuronal Dynamics

Explores the storage capacity of associative memory in networks of neurons and the impact of multiple prototypes on error rates.

Memory Encoding and Neuroplasticity

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

Stochastic Hopfield model

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

Prior Knowledge and Learning Tools

Discusses the influence of prior knowledge on learning, covering organization, practice, memory, and effective strategies for understanding and retention.

Recent Advances: Gender and Memory Recall

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

Introduction to Cognitive Control

Introduces cognitive control, the process influencing behavior and supporting flexible responses.

Stress and Learning: Effects and Implications

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

Concurrency and Parallelism: Visibility

Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.

Attractor Networks: Hopfield Model Generalizations

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

How People Learn: Design and Learning Process

Covers observational learning, implicit pattern learning, inquiry learning, procedural learning, and working memory functions.

Many-body localisation under the microscope

Explores many-body localisation under the microscope, focusing on quantum walk, interactions, disorder, and Anderson localisation.

Learning & Memory

Explores learning, memory, cognitive loads, metacognition, and problem-solving tasks.

Memory Aid for the Human Brain

Explores memory aid for the human brain, focusing on opportunities to study human memory, single cell recordings, and the representation of space, time, and objects.