Cargando…
A Developmental Approach to Predicting Neuronal Connectivity from Small Biological Datasets: A Gradient-Based Neuron Growth Model
Relating structure and function of neuronal circuits is a challenging problem. It requires demonstrating how dynamical patterns of spiking activity lead to functions like cognitive behaviour and identifying the neurons and connections that lead to appropriate activity of a circuit. We apply a “devel...
Autores principales: | Borisyuk, Roman, Azad, Abul Kalam al, Conte, Deborah, Roberts, Alan, Soffe, Stephen R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3931784/ https://www.ncbi.nlm.nih.gov/pubmed/24586794 http://dx.doi.org/10.1371/journal.pone.0089461 |
Ejemplares similares
-
Gradient based spinal cord axogenesis and locomotor connectome of the hatchling Xenopus tadpole
por: Kalam al Azad, Abul, et al.
Publicado: (2011) -
Modeling the Connectome of a Simple Spinal Cord
por: Borisyuk, Roman, et al.
Publicado: (2011) -
Structural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network
por: Ferrario, Andrea, et al.
Publicado: (2018) -
From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals
por: Ferrario, Andrea, et al.
Publicado: (2021) -
Specificity of synaptic connections formed during development of a functioning neuronal network
por: Sautois, Bart, et al.
Publicado: (2007)