Explores synaptic plasticity, including short-term and long-term changes in synaptic connections, to understand how learning and memory are facilitated.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores different forms of synaptic plasticity and the mechanisms behind them, emphasizing the role of calcium in inducing and maintaining plastic changes.
Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.
