Non-spiking neuron

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Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.

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

Explores finding parameters for neuron models and the importance of multi-objective optimization.

Focuses on identifying human cortical cell types using RNA-Seq data and discusses cell clustering, neuron mapping, and cell type diversity.

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

Explores networks of spiking neurons, mean-field models, transfer functions, and predictions of state space and neuron behavior.

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Explores the cellular mechanisms of neocortical inhibition through different types of GABAergic neurons and their inhibitory roles.

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.