Engineering brain activity patterns for therapeutics

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Data-Driven Modeling in Neuroscience: Meenakshi Khosla

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

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores Brain-Machine Interfaces for motor control and communication using neural signals.

Approaches and Rationale of Simulation Neuroscience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Neuronal Communication: Understanding Brain Networks

Explores neuronal communication in the brain and a novel method for collecting brain liquid micro-droplets for implantation.

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.

The Microcircuits of Striatum in Silico

Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.

Human Brain Measurements Integration: Visual Cortex Insights

Explores integrating human brain measurements to understand photosensitivity and the impact of electrical stimulation on the visual hierarchy.

Theinfluenceoftheeegonthebrain

This study aimed to investigate the influence of the brain on the brain behavior.

Neural Signals and Signal Processing

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

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