From Spiking Models to Rate Models

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Related lectures (32)

Synaptic Plasticity and Learning: F7 Triplet STDP model MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the Triplet STDP model in synaptic plasticity and learning.

Three definitions of rate code MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

Spike-Timing Models of plasticity MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.

Introduction to synaptic plasticity MOOC: Simulating a hippocampus micro-circuit

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Classification of Plasticity: Short-term vs. Long-term Changes MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores short-term and long-term synaptic changes, Hebbian learning, and the role of neuromodulators.

Synaptic Plasticity: Online Memory Learning MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.

Scientific Computing in Neuroscience

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

Compartmental Models: Active Dendrites MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Learning and synaptic plasticity

Covers sensory stimulation, learning, synaptic plasticity, and Hebb's postulate in neurorobotics.

Helping Humans: Neuroprosthetics MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the application of computational neuroscience in neuroprosthetics, focusing on predicting intended arm movements based on spike times and the importance of systematic parameter optimization.

Hippocampus Functions MOOC: Simulating a hippocampus micro-circuit

Explores hippocampus synaptic plasticity, network oscillations, and neuromodulation for cognitive functions like learning and memory.

From Spiking Models to Rate Models MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the transition from spiking to rate models in synaptic plasticity.

Dendrite as a Cable MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Interspike Intervals & Renewal Processes MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Challenge of even bigger models MOOC: Simulating a hippocampus micro-circuit

Explores simulating large-scale neural network models and optimizing memory efficiency in neural simulations using NEURON and CoreNEURON.

Generalized Integrate-and-Fire Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Parameter estimation MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.

Escape noise MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.

Neural Model: Assemblies of Neurons and Language Acquisition

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

Models and data MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers the optimization of neuron models for coding and decoding in computational neuroscience.

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