Concept
Biological neuron model
Related lectures (204)
Neuromorphic Computing: Challenges and Future
Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.
Biophysical Understanding of Neuronal Electrical Behavior
Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.
Kernel Methods: Neural Networks
Covers the fundamentals of neural networks, focusing on RBF kernels and SVM.
Neocortical Neuron Classification
Explores neocortical neuron classification, ion channel kinetics, challenges in modeling individual cells, and data integration.
Theinfluenceoftheeegonthebrain
This study aimed to investigate the influence of the brain on the brain behavior.
Neural Signals and Signal Processing: Modeling and Simulation
Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.
Modeling Neuronal Activity
Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.
Biophysical Understanding of Neuronal Behavior
Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.
Neuroscience Data Analysis
Explores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.
Neuromorphic Computing: Challenges & Future
Compares digital and neuromorphic computing, highlighting challenges and future prospects in the field.