Spatial Memory in RL Agents

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Explores the intersection between neuroscience and machine learning, discussing deep learning, reinforcement learning, memory systems, and the future of bridging machine and human-level intelligence.

Neuroscience Inspired Artificial Intelligence

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

Neuroprosthetics: Hallucinations and Self Distortions

Explores hallucinations, self distortions, cognitive decline, and altered sensorimotor processing in neuroprosthetics.

Learning & Memory

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

Learning to Find a Goal

Delves into a biologically inspired version of Reinforcement Learning, focusing on maze navigation and the implementation of spiking neurons.

Cognitive Load: Understanding Memory and Errors

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

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.

Working Memory Model: Features and Applications

Explores the working memory model and its applications in learning, emphasizing simplicity and channel utilization.

Formative Test Analysis

Explores engagement, working memory, and effective learning methods like concept maps and peer debating.

Working Memory and Learning Processes

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