Decoding and Modulation of Human Language

Principal Investigators: Behnaam Aazhang, PhD – Rice and Nitin Tandon, MD - UT Health
Title: Micro-scale Real-time Decoding and Closed-loop Modulation of Human Language
BRAIN Category: Neuroengineering and Brain-inspired concepts and design

The engineering objective is to develop biocompatible microchips to vastly enhance our insight into language and other cognitive processes and learning.

Nanomagnetic Stimulation Capability

Principal Investigators: Sydney Cash, MD/PhD – Mass General and Nian X. Sun, PhD – Northeastern
Title: Nanomagnetic Stimulation Capability for Neural Investigation and Control
BRAIN Category: Neuroengineering and Brain-inspired concepts and design

Abstract not yet available.

Integrating neural interfaces & machine intelligence for prosthetics

Principal Investigators: Charles Liu, PhD - USC; Kapil Katyal, PhD - JHU; Richard Andersen, PhD - Caltech
Title: Integrating neural interfaces and machine intelligence for advanced neural prosthetics
BRAIN Category: Neuroengineering and Brain-inspired concepts and design

This collaborative project will decode high-level cognitive actions from neural signals recorded in the parietal cortex of a tetraplegic human, then carry out those intents using a smart robotic prosthesis. Experimental results will be used to construct BMI control algorithms optimized to decode these cognitive signals.

Identifying Design Principles of Neural Cells

Principal Investigator: Amina Qutub, Rice University
Title: Identifying Design Principles of Neural Cells
BRAIN Category: Neuroengineering and Brain-inspired concepts and design (#1533708)

This proposal seeks to develop a robust theory of how single neural cells form electrically active networks. The project integrates emerging methods in computer science, systems biology, neuroengineering and developmental biology to offer insight into the brain's organization.

A circuit theory of cortical function

Principal Investigator: Charles Gilbert, Rockefeller Unviersity
Title: A circuit theory of cortical function
BRAIN Category: Neuroengineering and Brain-inspired concepts and design (#1532591)

This project aims to develop and test a new conceptual framework for understanding brain function, and informing biologically based artificial intelligence systems. The underlying theory holds that the properties of any neuron and any cortical area are not fixed but undergo state changes with changing perceptual task, expectation and attention.

Imaging synaptic activity using super-resolution cannula microscopy

Principal Investigator: Rajesh Menon - Utah Neuroscience
Title: "Imaging synaptic activity deep in the brain using super-resolution cannula microscopy"
BRAIN Category: Neuroengineering and Brain-inspired concepts and design (#1532591)

This project will develop a tool for high-resolution (<100-nm) imaging of synapses in freely moving animals for neuronal studies. It will accomplish this goal by the development and integration of compact and lightweight cannula microscopy with in vitro fluorescence imaging with accompanying technology and methodologies for imaging synapses.

Neural representation of visual memory

Principal Investigator: Aude Oliva - MIT
Title: Algorithmically explicit neural representation of visual memorability
BRAIN Category: Neuroengineering and brain-inspired concepts and design (#1532591)

We propose to combine three technologies to predict what makes an image memorable or forgettable: neuro-imaging technologies recording where encoding happens in the human brain (spatial scale), when it happens (temporal scale), and what types of computation are performed at the different stages of storage (computational scale.

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