This is the second annual all-hands meeting of the Temporal Dynamics of Learning Center (TDLC), which investigates time as a crucial element in the learning process and integrates the study of learning dynamics across multiple time scales - from milliseconds, to life-long learning.

This new science of the temporal dynamics of learning...

with Gary Cottrell

• Children's Brain,
• Educational Practice,
• Learning,
• Network of Networks,
• New Science,
• Science of Educating,
• Temporal Dynamics

Andrea Chiba

• Learning,
• Memory,
• Neuronal Ensembles,
• Plasticity,
• Temporal Dynamics,
• Time

Learning from the Birds and Bees

• Learning,
• Temporal Dynamics,
• neuroscience

Books by Terrence Sejnowski: Liars, Lovers, and Heroes: What the New Brain Science Reveals About How We Become Who We Are,...

Modeling the Temporal Dynamics of Learning

• Learning,
• Temporal Dynamics,
• neuroscience

The Temporal Dynamics of Learning to Move

• Learning,
• Temporal Dynamics,
• neuroscience

Neural Dynamics of Reinforcement Learning and Decision Making

• Learning,
• Temporal Dynamics,
• neuroscience

Temporal Dynamics Underlying the Development of Language and Literacy

• Learning,
• Temporal Dynamics,
• language,
• literacy,
• neuroscience

How Learning Language Influences the Perception of Non-linguistic Rhythm

• Learning,
• Temporal Dynamics,
• language,
• neuroscience

Learning Sequences

• Learning,
• Temporal Dynamics,
• neuroscience

Spike Time Dependent Plasticity

• Learning,
• Temporal Dynamics,
• neuroscience

Memory

• Neurogenesis,
• Temporal Dynamics

Janet Wiles from The University of Queensland: What is the role of new neurons in DG?Two-part presentation with Brad Aimone.

Brain Dynamics

• Temporal Dynamics,
• Temporal Structure

Dan Feldman from UC Berkeley: Precise spike timing and reliability in neural encoding of low-level sensory stimuli and sequences  

Memory, Eye Movements and the Big Picture

• Empirical Learning,
• Probabilistic Learning,
• Temporal Dynamics,
• neuroscience

Tony Bell from UC Berkeley: Towards a cross-level theory of neural learning