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Concept

Neural decoding

Related lectures (32)

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.

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.

Stochastic spike arrival MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores stochastic spike arrival in single neurons and the impact of network noise.

Membrane potential fluctuations MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores stochastic spike arrival and membrane potential fluctuations in single neurons.

Neural Interfaces: Course Overview

Covers neural interfaces, course structure, projects, and interdisciplinary design principles.

Variability: Sources and Neural Code MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses the sources of neural variability and the reliability of spike timing.

Miniaturized CMOS Interfaces

Explores miniaturized CMOS interfaces for neural recording and discusses spatial and temporal resolution, spike sorting, and wireless neural-interface-on-chip systems.

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.

Rate Codes versus Temporal Codes MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Compares rate codes and temporal codes in neural dynamics, emphasizing timing codes, stochastic resonance, and neural coding challenges.

Silicon Etching Techniques

Explores silicon etching techniques, fabrication of the Utah array, impedance measurements, and active silicon probes for neural recordings.

Introduction to Fundamentals of Neuroengineering

Covers neural prosthetics, brain-machine interfaces, and decoding motor signals for restoring sensory functions.

Advanced Neuromodulation Methods

Explores advanced human neuromodulation methods, including electrode placement, stimulation protocols, optimization techniques, and home-based self-application challenges.

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.

Controlling Behavior in Animals and Robots

Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

Optical Methods: State of the Art and Applications

Explores the state of the art in optical methods for recording neural activity and introduces voltage-sensitive dyes for high signal-to-noise ratio voltage mapping.

Stochastic spike firing in integrate-and-fire models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores stochastic spike firing in integrate-and-fire models and its impact on neural coding.

Networks of Spiking Neurons

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

Bioelectronics Emerging: Neuroprostheses & Biosensors

Explores bioelectronics, focusing on neuroprostheses and biosensors for medical applications.

Morphological Reconstruction in Neuroscience

Explores the challenges and significance of classifying neurons based on morphology for accurate brain modeling and understanding brain function.

Variability of Spike Trains MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the variability of spike trains in computational neuroscience, covering experiments, sources of variability, and stochastic spike arrival and firing.