Neuron based Measurements for Brain Functionality Understanding

Abstract

A two-photon imaging technique is able to capture a large number of in-vivo multi-region neuronal activities simultaneously. We carry out acausal interaction study on neuronal activities of mices visual cortex. We applied a proposed data-driven causal interaction measure (earlierdeveloped in our Laboratory) to the florescent calcium data. By estimating the fractal dimension of the delay-embedding point cloud, wegive a nonlinear causality measure and a signal delay estimation between activities of an ordered pair of neurons. This leads to a weighteddirected network of neurons or a binary network by thresholding. Despite high variability of single neuron activities over trials, for the samestimulus, we observed consistent patterns of the networks, such as hub neurons, population activities and topological characteristics. Wedefined and computed dissimilarity measure between networks to show our method is robust against trial-to-trial variability.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2017
Accession Number
AD1059317

Entities

People

  • Hamid Krim

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Background Noise
  • Brain
  • Department Of Defense
  • Education
  • Embedding
  • Engineering
  • Imaging Techniques
  • Mathematics
  • Network Topology
  • Point Clouds
  • Standards
  • Students
  • Technology Transfer
  • Two-Photon Excitation Microscopy
  • Visual Cortex

Readers

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