Learning to Find a Goal

Related lectures (32)

Page 3 of 4

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

Delves into the hippocampus's role in memory, space, and time encoding, and its implications in brain pathologies.

Explores data-driven model building, focusing on neocortical microcircuit reconstruction and collaborative modeling efforts in neuroscience.

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

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

Covers sensory perception, presynaptic neuron mapping, dopamine neuron firing, reward-based learning, and Parkinson's disease.

Covers Deep Q-learning in deep neural networks, its application in games, backpropagation, Q-values, and V-values.

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

Delves into the critical role of the hippocampus in memory formation, focusing on declarative memory and spatial representation.

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.