The function of a biological neuronal network is determined by the intrinsic properties of its? constituent neurons, their spatial connectivity, and the adaptive strengthening/weakening of those connections? as informed by the network!s spatiotemporal pattern of electrical and chemical signaling. Deciphering the? neuronal code - the rules by which spatiotemporal connectivity translates to function - remains to be a major? scientific challenge, largely due to the lack of experimental tools that enable both the preparation of well-? defined neuronal circuits with controlled connections and the simultaneous mapping of physical connectivity? among, and signal propagation between, many neurons. The project proposed herein aims to develop new? nano- and microelectronic tools that address these particular issues. Specifically, we will develop: (1) planar? patch-clamp arrays (element number > 100, element pitch < 200 ?m) that enable the real-time monitoring of? multiple neurons in dissociated culture or slice preparations and (2) vertical nanowire arrays that can perturb? and modify neuronal differentiation and synapse formation through the controlled introduction of biochemical? signals in a cell-specific fashion. These new tools will then be used, in combination with optical excitation and? imaging schemes, to probe, at both the local and global levels, the real-time dynamics of constituent neurons? within a given neuronal network upon application of precisely defined perturbations. Combined together, these? tools will also provide a new platform for assaying, in a parallel fashion, the biochemical and genetic pathways? that govern neuronal differentiation and growth. The proposed research, which combines recent advances in? neurobiology with cutting-edge developments in nanomaterials synthesis and microfabrication, will allow for the? meticulous study of extant network connectivity and stimuli- and reward-induced synaptic adaptation. The? information gained through these studies will be crucial for systematically translating any network!s connectivity? to its function, and thus help to unravel the design principles of the brain.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
NIH Director’s Pioneer Award (NDPA) (DP1)
Project #
1DP1OD003893-01
Application #
7556900
Study Section
Special Emphasis Panel (ZGM1-NDPA-B (P2))
Program Officer
Jones, Warren
Project Start
2008-09-30
Project End
2013-07-31
Budget Start
2008-09-30
Budget End
2009-07-31
Support Year
1
Fiscal Year
2008
Total Cost
$835,500
Indirect Cost
Name
Harvard University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
082359691
City
Cambridge
State
MA
Country
United States
Zip Code
02138
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