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CA1 single cell models
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Related lectures (32)
In Silico Neuroscience: Data Reproducibility and Reusability
Emphasizes data reproducibility and reusability in in silico neuroscience, focusing on neuroinformatics tools and methods.
Introduction to Circuit Connectivity
MOOC: Simulating a hippocampus micro-circuit
Covers circuit connectivity in the hippocampus, including synapse distribution, divergence, and convergence.
Rall's Cable Model
MOOC: Simulation Neurocience
Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.
Neurons and Synapses: Overview
MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons
Covers computational neuroscience basics, single neuron models, synapses, and neural variability.
Network Simulation and Activity Dynamics
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Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
The Microcircuits of Striatum in Silico
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Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.
Computational Neuroscience: Biophysics & Modeling
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Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.
GABAergic Interneurons of the Cerebral Cortex
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Explores the classification and electrical behaviors of GABAergic interneurons in the cerebral cortex, emphasizing the importance of consistent terminology and understanding ion channel diversity.
Computational Neuroscience: Biophysics
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Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.
Biophysical Understanding of Neuronal Behavior
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Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.
Synaptic Transmission: Electrical vs Chemical
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Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.
Scientific Computing in Neuroscience
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Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.
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