Multi-neuron intracellular recording in vivo via interacting autopatching robots
نویسندگان
چکیده
منابع مشابه
Multi-neuron intracellular recording in vivo via interacting autopatching robots
The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining bli...
متن کاملMulti - neuron intracellular recording 1 in vivo via interacting autopatching 2 robots . 3
The activities of groups of neurons in a circuit or brain region are important for 21 neuronal computations that contribute to behaviors and disease states. Traditional extracellular 22 recordings have been powerful and scalable, but much less is known about the intracellular 23 processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of 24 automatically o...
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Effective human-robot communication is one of the main concerns in modern robotics. Involved systems should be very robust, allowing little chance for misunderstanding users commands. The main purpose of this work is to develop a general framework for multimodal human-robot communication, which allows users to interact with robots using speech and gestures, integrated into unique commands. The ...
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Electrophysiological recordings from behaving animals provide an unparalleled view into the functional role of individual neurons. Intracellular approaches can be especially revealing as they provide information about a neuron's inputs and intrinsic cellular properties, which together determine its spiking output. Recent technical developments have made intracellular recording possible during a...
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Modeling interactions Definition 1. Let S = {e1, . . . , eD} be a set of D objects (e.g. indices of variables) and Z = {Z1, . . . ,ZJ} set of J subsets of S: Zj ⊂ S, for j = 1, . . . , J . Then we say that G = (S,Z) is a hypergraph with D vertices and J hyperedges. Interactions form a hypergraph. Z incidence matrix of interactions: Z ∈ {0, 1}D×J , where Zi1j = Zi2j = 1 iff i1 and i2 are part of...
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ژورنال
عنوان ژورنال: eLife
سال: 2018
ISSN: 2050-084X
DOI: 10.7554/elife.24656