Lectures related to Helping Humans: Neuroprosthetics

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.

AdEx model: Firing patterns and phase plane analysis MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

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.

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

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

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

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

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

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

Modeling in vitro data MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.

Neuronal Dynamics: Random Networks MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Visual Systems & Circuits

Explores the evolution of vision systems, retinal ganglion cells, LGN organization, and visual cortex processing.

Likelihood of Spike Train in GLM MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers the Generalized Linear Model (GLM) in computational neuroscience.

MathDetour 1: Separation of time scales MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.

Leaky Integrate-and-Fire Model MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the Leaky Integrate-and-Fire Model in computational neuroscience, emphasizing single neuron dynamics.

Networks of Spiking Neurons

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

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.

Spike Response Model (SRM)MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers the Spike Response Model (SRM) in computational neuroscience and its relation to the adaptive leaky integrate-and-fire model.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Brain-Computer Interfaces: Advancements in Systems Neuroscience Log in to Mediaspace to watch this video

Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.

Visual Processing in Zebrafish: Retinal Ganglion Cells and Behavior Log in to Mediaspace to watch this video

Explores the visual processing in zebrafish, focusing on retinal ganglion cells and their role in behavior.

Neural Networks: Hierarchical Models and Odor Taxis Log in to Mediaspace to watch this video

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.