Lectures related to Hippocampus Functions

Explores sensory representations, perception, memory, cognitive control, and neural networks.

Covers sensory stimulation, learning, synaptic plasticity, and Hebb's postulate in neurorobotics.

Synaptic Plasticity and Learning: F7 Triplet STDP model MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the Triplet STDP model in synaptic plasticity and learning.

Introduction to synaptic plasticity MOOC: Simulating a hippocampus micro-circuit

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Microcircuit Modeling: Hippocampus Insights MOOC: Simulating a hippocampus micro-circuit

Covers the simulation of a hippocampus microcircuit for understanding brain function and behavior.

From Spiking Models to Rate Models MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Covers the transition from spiking models to rate models in computational neuroscience.

Synaptic Plasticity: Online Memory Learning MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

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

Local Learning Rules: Representations and Actions

Explores local learning rules for representations and actions, covering synaptic plasticity, reinforcement learning, and good representations.

Compartmental Models: Active Dendrites MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Spike-Timing Models of plasticity MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.

Neuromorphic Computing: Concepts and Hardware Implementations

Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.

Learning & Memory

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

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 Strategies: Memory Techniques and Expertise

Explores learning speed, memory techniques, and effective recall strategies for better learning outcomes.

Hippocampus Microcircuit: Key Discoveries MOOC: Simulating a hippocampus micro-circuit

Explores key discoveries in the hippocampus microcircuit, including anatomy, function, synaptic plasticity, LTP, LTD, and new recording techniques.

From Spiking Models to Rate Models MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the transition from spiking to rate models in synaptic plasticity.

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Digital Tools Impact on Attention and Learning

Examines the impact of digital tools on attention, learning, and cognitive load management.

Acquiring Data for Learning: Modern Approaches and Challenges

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Hopfield Model: Memory and Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the Hopfield Model for associative memory and its dynamics.