Magnetic Particle Imaging (MPI)

Principal Investigator: Lawrence Wald
Neuroscience@Harvard
Title: "Magnetic Particle Imaging (MPI) for Functional Brain Imaging in Humans"
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

The Wald team plans to use an iron-oxide contrast agent to track blood volume, which will permit dramatically more sensitive imaging of human brain activity than existing methods.

Imaging Brain Function with Portable MRI

Principal Investigator: Michael Garwood
Institute for Translational Neuroscience, University of Minnesta
Title: "Imaging Brain Function in Real World Environments & Populations with Portable MRI"
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

By employing smaller, less cumbersome magnets than used in existing MRI, Dr. Garwood and colleagues will create a downsized, portable, less expensive brain scanner.

Advancing MRI & MRS Technologies

Principal Investigator: Wei Chen
Institute for Translational Neuroscience, University of Minnesota
Title: "Advancing MRI & MRS Technologies for Studying Human Brain Function and Energetics"
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

Dr. Chen's team will achieve unprecedented higher resolution magnetic resonance imaging and spectroscopy scanning by integrating ultra-high dielectric constant material and ultra-high-field techniques.

MRI Neuro-Electro-Magnetic Oscillations

Principal Investigator: Allen W Song
Duke Institute for Brain Sciences
Title: "Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations"
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

Dr. Song's group will develop a scanner technology sensitive enough to image brain activity in high resolution by directly tuning in the electromagnetic signals broadcast by neurons.

Vascular Interfaces for Brain Imaging

PI: Robert Desimone
Massachusetts Institute of Technology
Title: "Vascular Interfaces for Brain Imaging and Stimulation"
BRAIN category: Next Generation Human Imaging (RFA MH-14-217)

Dr. Desimone's project will access the brain through its network of blood vessels to less invasively image, stimulate and monitor electrical and molecular activity than existing methods.

Ultrasonic neuromodulation in vivo

PI: Doris Ying Tsao
California Institute of Technology
Title: "Dissecting human brain circuits in vivo using ultrasonic neuromodulation"
BRAIN category: Next Generation Human Imaging (RFA MH-14-217)

In rodents, monkeys and eventually humans, Dr. Tsao's team will explore use of non-invasive, high resolution ultrasound to impact neural activity deep in the brain and modify behavior.

Micro-Dose, Wearable PET Brain Imager

Principal Investigator: Julie Brefczynski-Lewis
WVU Center for Neuroscience
Title: Imaging the Brain in Motion: The Ambulatory Micro-Dose, Wearable PET Brain Imager
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

Dr. Brefczynski-Lewis and co-workers will engineer a wearable PET scanner that images activity of the human brain in motion – for example, while taking a walk in the park.

Multiplexed Nanoscale In Situ Proteomics

PI: Edwards S. Boyden
Massachusetts Institute of Technology
Title: "Ultra-Multiplexed Nanoscale In Situ Proteomics for Understanding Synapse Types"
BRAIN category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Boyden's team will simultaneously image both the identities and locations of multiple proteins within individual synapses – made possible by a new technique called DNA-PAINT.

Enhancers define cortical interneuron types

Principal Investigator: John L. R. Rubenstein
UCSF Neuroscience
Title: "Identification of enhancers whose activity defines cortical interneuron types"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Rubenstein and colleagues plan to identify enhancer molecules specific to particular types of interneurons – that relay neural signals – and use this information to profile distinct cell types and new ways to manipulate genes.

Remote regulation of neural activity

Principal Investigator: Sarah Stanley
Rockefeller University
Title: "Remote regulation of neural activity"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

The Stanley team will focus on the development of tools to instantly and precisely target cell activity deep in the brain using radio waves, nanoparticles and genetically modified viruses.

NIH Webpages

Holographic optogenetics and olfactory coding

Principal Investigator: Dmitry Rinberg
NYU Neuroscience Institute
Title: "Behavioral readout of spatiotemporal codes dissected by holographic optogenetics"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Rinberg's team aims to understand how the brain turns odors into nerve signals by activating and recording neurons in the olfactory bulbs of mice as they detect a variety of odors.

Nontoxic transsynaptic tracing

Principal Investigator: Ian Wickersham
MIT Neuroscience
Title: "Novel technologies for nontoxic transsynaptic tracing"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Wickersham and colleagues will develop nontoxic viral tracers to assist in the study of neural circuitry underlying complex behaviors.

Optogenetic toolkit for control of cells

PI: Gregory Hannon, Hannon Lab
Institution: Cold Spring Harbor Laboratory
Title: "An optogenetic toolkit for the interrogation and control of single cells."
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Hannon's group will develop optogenetic techniques that use pulses of light to control genes and isolate proteins in specific cell types in the brain for molecular studies.

Activity measurement at single cell

Principal Investigator: Craig Forest
Georgia Institute of Technology
Title: "In-vivo circuit activity measurement at single cell, sub-threshold resolution"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Forest's team will use a newly developed robot guided technique to measure precise changes in electrical activity from individual neurons that are connected over long distances across the brain, to understand how these connections change when our brains go into different states, such as sleeping and waking.

Dreadd2.0: A Chemogenetic Toolkit

Principal Investigator: Bryan L Roth
UNC Neuroscience
Title: " Dreadd2.0: An Enhanced Chemogenetic Toolkit"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Roth and colleagues will build second generation technology that uses artificial neurotransmitters and receptors to manipulate brain activity simultaneously across select cells and pathways to understand their functions and potentially treat brain disorders.

Mapping Sensory-Motor Pathways

Principal Investigator: Michael Dickinson
Caltech Neuroscience
Title: "Integrative Functional Mapping of Sensory-Motor Pathways"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Dickinson will lead an interdisciplinary team to study how the brain uses sensory information to guide movements, by recording the activity of individual neurons from across the brain in fruit flies, as they walk on a treadmill and see and smell a variety of sights and odors

Integrated approach to visual neuroscience

PI: Sebastian Seung, Princeton University
Title: "Vertically integrated approach to visual neuroscience: microcircuits to behavior"
BRAIN category: Understanding Neural Circuits

Dr. Seung and colleagues will use state-of-the-art genetic, electrophysiological, and imaging tools to map the connectivity of the retina, the light-sensing tissue in the eye. The goal is to delineate all the retina's neural circuits and define their specific roles in visual perception and behavior.

Calcium sensors for molecular fMRI

PI: Alan Jasanoff
Massachusetts Institute of Technology
Title: "Calcium sensors for molecular fMRI"
BRAIN category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Jasanoff's team will synthesize calcium-sensing contrast agents that will allow functional magnetic resonance imaging (fMRI) scans to reveal activity of individual brain cells

Next generation imaging in vivo

Principal Investigator: Elly Nedivi
Massachusetts Institute of TechnologyTitle: "Next generation high-throughput random access imaging, in vivo"
BRAIN category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Nedivi's team proposes a new imaging technology to simultaneously record activity at each of the thousands of synapses, or communication points, on a single neuron.

Combining genetics, genomics & anatomy

Principal Investigator: Sacha B. Nelson
Brandeis University
Title: Combining genetics, genomics, and anatomy to classify cell types across mammals"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

To gain a deeper understanding of how cells have evolved specialized features, Dr. Nelson and colleagues will create transgenic strains of rats and mice that carry identical genetic modifications in many different cell types and see how the properties of these cells diverge across species.

Single Cell Transcriptomics Classification

PI: John J. Ngai, Ngai Lab
University of California Berkeley
Title: "Classification of Cortical Neurons by Single Cell Transcriptomics"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

To understand what makes neurons distinct, Dr. Ngai's team will explore one major type of mouse brain cell, pinpointing genes responsible for differentiating them into subtypes and will also test whether each subtype has unique functions, using a new technique that labels them with tagged genes.

Cell Type Characterization Platform

PI: Hongkui Zeng, Allen Brain Atlases
Allen Institute for Brain Science
Title: "Establishing a Comprehensive and Standardized Cell Type Characterization Platform"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Zeng's group will characterize cell types in brain circuits controlling sensations, such as vision and emotions, as a first step to better understand information processing across circuits. The data generated will be posted as a public online resource for the scientific community.

Neural circuits in zebrafish

Principal Investigator: Florian Engert
Program in Neuroscience @Harvard
Title: "Neural circuits in zebrafish: form, function and plasticity"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Engert's team will combine a wide array of cutting-edge neuroscience techniques to watch the entire brain activity of a see-through fish while it swims, and to make detailed maps of its brain circuitry.

Neural circuit dynamics in working memory

Principal Investigator: Carlos D Brody
Princeton Neuroscience Institute
Title: "Mechanisms of neural circuit dynamics in working memory"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Brody and his colleagues will study the underlying neuronal circuitry that contributes to short-term "working" memory, using tools to record circuit activity across many brain areas simultaneously while rodents run on a track-ball through virtual mazes projected onto a screen.

Circuitry Underlying Memory replay

Principal Investigator: Ivan Soltesz
UC Irvine Neuroscience
Title: "Towards a Complete Description of the Circuitry Underlying Memory replay"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Soltesz's team will combine computer brain modeling and large-scale recordings of hundreds of neurons to understand how the brain generates sharp-wave-ripples, a neuronal activity pattern essential for learning and memory.

Connectivity of brain stem circuits

Principal Investigator: David Kleinfeld
UCSD Neuroscience
Title: "Revealing the connectivity and functionality of brain stem circuits"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Kleinfeld and his colleagues will use a variety of tools and techniques to create detailed maps of circuits in the brainstem, the region that regulates many life-sustaining functions such as breathing and swallowing, and match the circuits to actions they control.

Patterned activity and codes for behavior

Principal Investigator: John Maunsell
Neuroscience at University of Chicago
Title: "The role of patterned activity in neuronal codes for behavior"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Maunsell's team will explore how large populations of neurons process visual information, using a newly developed light stimulation technique to induce brain cell activity in the visual cortex of mice.

Crowd coding in the brain

Principal Investigator: Patrick Kanold
UMD Neuroscience and Cognitive Science
Title: "Crowd coding in the brain: 3D imaging and control of collective neuronal dynamics"
BRAIN Category: Understanding Neural Circuits (RFA NS-14-009)

Dr. Kanold and his team propose cutting edge methods to stimulate neurons at different depths in the auditory cortex, and will use new computational methods to understand complex interactions between neurons in mice while testing their ability to hear different sounds.

Optimization of 3-photon microscopy

Principal Investigator: Chris Xu
Cornell University
Title: "Optimization of 3-photon microscopy for Large Scale Recording in Mouse Brain"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Xu and his collaborators will build new lasers and lenses to use three-photon microscopy to watch neuronal activity far deeper inside the brain than currently possible.

Protein-based Voltage Probes

Principal Investigator: Vincent Allen Pieribone
Yale Interdepartmental Neuroscience Program
Title: "Development of Protein-based Voltage Probes"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Pieribone and his team will optimize fluorescent voltage probe technology, to allow scientists to measure the activity of thousands of neurons using only a camera and a microscope.

3D Holography for Optogenetic Manipulation

Principal Investigator: Serge Picaud
Pierre and Marie Curie University
Title: "Three Dimensional Holography for Parallel Multi-target Optogenetic Circuit Manipulation"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Picaud's team will continue its development of holographic imaging to use lasers to induce the natural electrical activity of neurons and test theories of how circuits produce behaviors in a range of animal models.

Protein voltage sensor imaging in vivo

Principal Investigator: Mark J Schnitzer
Stanford Neuroscience
Title: "Protein voltage sensors: kilohertz imaging of neural dynamics in behaving animals"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Schnitzer and his team have created a new system for developing optical voltage sensors, which will allow scientists to simultaneously record firing of large groups of neurons or electrical activity in precise locations inside of neurons, such as synapses.

Optical control of synaptic transmission

Principal Investigator: Richard Kramer
UC Berkeley Helen Wills Neuroscience Institute
Title: " Optical control of synaptic transmission for in vivo analysis of brain circuits and behavior"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Kramer's team will develop light-triggered chemical compounds that selectively activate or inhibit neurotransmitter receptors on neurons, to precisely control the signals sent between brain cells in behaving animals.

Multi-area two-photon microscopy

Principal Investigator: Fritjof Helmchen
Zurich Brain Research Institute
Title: "Multi-area two-photon microscopy for revealing long-distance communication between multiple local brain circuits"
BRAIN Category: Large-Scale Recording-Modulation – Optimization (RFA NS-14-008)

Dr. Helmchen and his colleagues propose a system to simultaneously record neuronal activity in four different areas of the neocortex and discover how brain cells in different regions interact during specific behaviors.

Electrophysiological Recording and Control

Principal Investigator: Albert Baldwin Goodell
Graymatter Research
Title: "Large-Scale Electrophysiological Recording and Optogenetic Control System"
BRAIN Category: Large-Scale Recording-Modulation - Optimization (RFA NS-14-008)

Dr. Goodell and his colleagues aim to develop optrodes, which are implantable columns of lights and wires for simultaneous electrical recording of neurons and delivery of light flashes to multiple brain areas.

High-Density Recording Microelectrodes

PI: Tim Gardner, Laboratory of neural circuit formation
Institution: Boston University (Charles River Campus)
Title: "High-Density Recording and Stimulating Microelectrodes"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Gardner and his colleagues will develop ultrathin electrodes that minimize tissue damage and are designed for long-term recording of neural electrical activity.

Modular nanophotonic probes

Principal Investigator: Michael Roukes
Caltech Neuroscience
Title: "Modular nanophotonic probes for dense neural recording at single-cell resolution"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Roukes and his team propose to build ultra-dense, light-emitting and -sensing probes for optogenetics, which could simultaneously record the electrical activity of thousands of neurons in any given region of the brain.

Diamond Electrodes for Measurement

Principal Investigator: Kendall H Lee
Mayo Clinic Rochester
Title: "Neurotransmitter Absolute Concentration Determination with Diamond Electrode"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Kendall and his colleagues will develop diamond-coated electrodes to measure concentrations of the brain chemical dopamine more accurately and over long periods of time in the brain.

Genetic sensors for biogenic amines

Principal Investigator: Lin Tian
UC Davis Neuroscience
Title: " Genetically encoded sensors for the biogenic amines: watching neuromodulation in action"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Tian and her colleagues will create sensors that will allow researchers to see how molecules like dopamine, norepinephrine and serotonin regulate activity of neural circuits and behavior in living animals.

Optogenetic mapping of synaptic activity

Principal Investigator: John Yu-Luen Lin
Neuroscience at UCSD
Title: "Optogenetic mapping of synaptic activity and control of intracellular signaling"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Lin's team will create molecules that, when they are triggered by a pulse of light, allow scientists to test for communication between neurons in specific circuits of the brain.

Modular systems measuring brain activity

Principal Investigator: Loren M Frank
Sandler Neurosciences Center, UC San Francisco
Title: " Modular systems for measuring and manipulating brain activity"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Frank and his colleagues will engineer a next-generation, all-in-one neural recording and stimulating system, which can simultaneously monitor thousands of neurons in the brain for several months while also delivering drugs, light or electrical pulses.

Optoelectrodes for Local Circuit Analysis

Principal Investigator: Euisik Yoon
UMich Neuroscience
Title: " Modular High-Density Optoelectrodes for Local Circuit Analysis"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

In this project, Dr. Yoon's team will make devices for optogenetics, a technique that enables scientists to turn neurons on and off with flashes of light, more precise and diverse by integrating multiple light sources in such a way as to enable the control of specific neuronal circuits.

Deep Photoacoustic Tomography

Principal Investigator: Lihong Wang
Washington University
Title: "Fast High-Resolution Deep Photoacoustic Tomography of Action Potentials in Brains"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Wang and his collaborators will test a way to image the electrical activity of neurons deep inside the brain, using a variation on ultrasound imaging he invented called photoacoustic tomography.

Genetically encoded reporters

Principal Investigator: Kit S. Lam
UC Davis Center for Neuroscience
Title: "Genetically encoded reporters of integrated neural activity for functional mapping of neural circuitry"
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Lam's team plans to develop fluorescent sensors that will mark ion channels, molecules that help control information flow in the brain, and enable scientists to observe the neurons that are activated during a specific behavior, such as running.

NIH Webpages

Imaging in vivo neurotransmitter modulation

Principal Investigator: Dean Foster Wong
Johns Hopkins University
Title: Imaging in vivo neurotransmitter modulation of brain network activity in realtime
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

Dr. Wong and colleagues will explore the possibility that newly developed infrared chemical tags may be used for minimally invasive imaging of rapidly changing human brain chemical messenger activity – with greater time resolution.

MRI Corticography (MRCoG)

Principal Investigator: David Alan Feinberg
Helen Wills Neuroscience Institute
Title: "MRI Corticography (MRCoG): Micro-scale Human Cortical Imaging"
BRAIN Category: Next Generation Human Imaging (RFA MH-14-217)

To image the activity and connections of the brain's cortex on a micro scale – with dramatically higher resolution than existing scanners – Dr. Feinberg's group will employ high sensitivity MRI coils that focus exclusively on the brain's surface.

Time-Reversal Optical Focusing

Principal Investigator: Changhuei Yang
Caltech Neuroscience
Title: Time-Reversal Optical Focusing for Noninvasive Optogenetics
BRAIN Category: Large-Scale Recording-Modulation - New Technologies (RFA NS-14-007)

Dr. Yang's team plans to develop a light and sound system that will noninvasively shine lasers on individual cells deep within the brain and activate light-sensitive molecules to precisely guide neuronal firing.

Drivers for neuron gene expression

Principal Investigator: Oliver Hobert
Columbia Neuroscience
Title: "Developing drivers for neuron type-specific gene expression"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Hobert and colleagues will create a highly selective technology for experimentally manipulating genes in neurons, by tapping into the regulatory machinery of individual cell types.

Mapping neuronal chloride microdomains

Principal Investigator: Kevin J. Staley
Neuroscience@Harvard, Massachusetts General Hospital
Title: "Mapping neuronal chloride microdomains"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Using protein engineering technology to monitor the movement of chloride through inhibitory neurotransmitter receptor channels, Dr. Staley's group aims to understand the role of chloride microdomains in memory.

Genetic Sparse Labeling Mammalian Neuron

Principal Investigator: X. William Yang
UCLA Neuroscience
Title: "Novel Genetic Strategy for Sparse Labeling and Manipulation of Mammalian Neurons"
BRAIN Category: Tools for Cells and Circuits (RFA MH-14-216)

Dr. Yang's team will develop a new way to genetically target specific neurons, incorporating streamlined imaging and mapping methods that will enable the detection of sparse populations of cells that often elude existing methods.

Quantitative cell type-based mapping

Principal Investigator: Pavel Osten
Cold Spring Harbor Laboratory
Title: "Towards quantitative cell type-based mapping of the whole mouse brain"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

The Osten team will develop an automated system to image different types of brain cells and their connections in mice, to pinpoint differences between males and females, across the lifespan.

Neuronal Subtypes By Cell Transcriptomics

Principal Investigator: Joshua R Sanes
Neuroscience@Harvard
Title: "Comprehensive Classification Of Neuronal Subtypes By Single Cell Transcriptomics"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Sanes and colleagues will use new methods of genetic screening to comprehensively catalog and distinguish different kinds of cells across species and brain regions.

Epigenomic mapping cell-type classification

Principal Investigator: Joseph R Ecker
Salk Institute for Biological Studies
Title: "Epigenomic mapping approaches for cell-type classification in the brain"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Ecker's group will use signatures of epigenetics, the switching on-and-off of genes in response to experience, in mouse frontal cortex to help identify different classes of cells and understand their function.

Cell types in developing human fetal cortex

Principal Investigator: Daniel H Geschwind
UCLA Neuroscience
Title: "Defining cell types, lineage, and connectivity in developing human fetal cortex "
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Geschwind's group will explore the diversity of cell types in the developing human brain, and will bring to bear state-of-the-art genetic and cellular visualization technology to map and trace the relationship between cell types across the cortex.

Cortical Neurons by Transcriptome

Principal Investigator: Massimo Scanziani
Title: "Classifying Cortical Neurons by Correlating Transcriptome with Function"
UC San Diego’s Neuroscience
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Scanziani's team will record neuronal responses to different visual stimuli to discover how individual brain cell activity is linked to expression of specific genes.

Massively Parallel Single Cell Analysis

Principal Investigator: Arnold Kriegstein
UCSF Neuroscience
Title: "Mapping the Developing Human Neocortex by Massively Parallel Single Cell Analysis"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

By combining genetic, molecular and physiological techniques at the single cell level, Dr. Kriegstein and colleagues will classify diverse cell types in the prefrontal cortex of developing human brain tissue.

Cell-Type Classification in the Human Brain

Principal Investigator: Nenad Sestan
Yale Neuroscience
Title: "A Novel Approach for Cell-Type Classification and Connectivity in the Human Brain"
BRAIN Category: Census of Cell Types (RFA MH-14-215)

Dr. Sestan's group will substantially advance the profiling of cell types – their molecular identities and connections – made possible by a new method of better preserving brain tissue to maintain cell integrity.

Cortical circuits and information flow

Principal Investigator: Mriganka Sur
MIT Neuroscience
Title: "Cortical circuits and information flow during memory-guided perceptual decisions"
BRAIN Category:

Dr. Sur and his team will combine a number of cutting-edge, large-scale imaging and computational techniques to determine the exact brain circuits involved in generating short term memories that influence decisions.

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