Surprise, Curiosity and Reward: An Evolutionary Perspective

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In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Interspike Intervals & Renewal Processes

Explores interspike intervals, renewal processes, and escape noise experiments in neuronal dynamics.

Neuronal Dynamics: Decisions and Simulations

Explores neuronal dynamics in decision making through simulations and experiments on populations of neurons.

Framing: Decision Making in Life-Threatening Scenarios

Explores decision-making under uncertainty and the impact of framing on choices.

Signal Detection Theory

Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

Taxes Behaviors: Simple Signals, Complex Behaviors

Explores how organisms respond to environmental signals, showcasing how simple algorithms can lead to complex behaviors.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Neuroscience Techniques: Two-Photon Microscopy

Explores the use of two-photon microscopy in neuroscience research, highlighting its benefits and applications in brain imaging and behavior studies.

Local Learning Rules: Representations and Actions

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

Choice Theory: Theoretical Foundations

Covers the theoretical foundations of choice theory, decision makers, alternatives, attributes, decision rules, utility, and behavioral assumptions.