Computational model provides insight into the distinct responses of neurons to chemical and topographical cues

Annals of Biomedical Engineering

Volumn 37, Issue 2, 2009, Pages 363-374

  Forciniti, Leandro ^a   Schmidt, Christine E ^a   Zaman, Muhammad H ^a,b  

^a The University of Texas at Austin   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Hippocampal Neurons; Immobilized NGF; Monte Carlo; Topography

Indexed keywords

BIOFOULING; ENGINEERING GEOLOGY; MONTE CARLO METHODS; NEURONS; POLARIZATION; SUBSTRATES;

AXON GUIDANCE; CELL POLARIZATION; CHEMICAL EFFECTS; CHEMICAL SIGNALS; COMPUTATIONAL MODELLING; FEATURE SIZES; HIPPOCAMPAL NEURONS; IMMOBILIZED NGF; MONTE CARLO; NEURONAL CELLS; NEW MODEL; STEP SIZE; SUBSTRATE INTERACTIONS; TOPOGRAPHY;

PHYSIOLOGICAL MODELS;

NERVE GROWTH FACTOR;

ANIMAL; ARTICLE; ASSOCIATION; BIOLOGICAL MODEL; CELL CULTURE; CELL MOTION; CELL POLARITY; NERVE CELL; NERVE FIBER; NEURITE; PHYSIOLOGY; RAT;

ANIMALS; AXONS; CELL MOVEMENT; CELL POLARITY; CELLS, CULTURED; CUES; MODELS, BIOLOGICAL; NERVE GROWTH FACTOR; NEURITES; NEURONS; RATS;

EID: 58549105906     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-008-9613-x     Document Type: Article

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