Discrete Keying Sequences: Cognitive and Neural Models

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Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

Delves into Piaget, Skinner, Vygotsky's theories, schemas, and 'productive failure'.

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

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

Explores the relationship between neuroscience and machine learning in visual intelligence.

Emphasizes the importance of cognitive effort in the learning process.