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Related lectures (32)
Understanding Synaptic Transmission
Explores synaptic transmission, neurotransmitters, and neural plasticity principles.
Modeling synaptic transmission: Stochastic Dynamics
Explores stochastic synaptic transmission modeling, parameters, inhibitory effects, and synaptic reliability.
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Synaptic Transmission: Electrical vs Chemical
Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.
Modeling the synaptic potential
Explores the modeling of synaptic potentials and the factors influencing their amplitude.
Synaptic Transmission: Electrical vs. Chemical
Explores the differences between electrical and chemical synapses, synaptic plasticity, and receptor behavior.
Synaptic transmission: Structure and Mechanisms
Explores the structure and function of synapses, including neurotransmitter diversity and the role of AMPA and NMDA receptors.
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Neuromorphic Computing: Concepts and Hardware Implementations
Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.
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Rall's Cable Model
Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.
Engineering Neurons: Optogenetics
Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.
Synapses: Structure and Dynamics
Explores synaptic data analysis, mapping connections, and dynamics, emphasizing the variability in synaptic responses.
Cellular Mechanisms of Brain Function
Series explores the biophysics of neurons and synapses, synaptic transmission, and brain function.
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Synaptic Transmission: Diffusive Component
Explores the diffusive component of synaptic transmission and its impact on brain function.
Synaptic plasticity: mechanisms and functions
Explores the cellular mechanisms of synaptic plasticity, including LTP, LTD, and STDP.
Network Simulation and Activity Dynamics
Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
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