Cargando…
CA1 cell activity sequences emerge after reorganization of network correlation structure during associative learning
Animals can learn causal relationships between pairs of stimuli separated in time and this ability depends on the hippocampus. Such learning is believed to emerge from alterations in network connectivity, but large-scale connectivity is difficult to measure directly, especially during learning. Here...
Autores principales: | Modi, Mehrab N, Dhawale, Ashesh K, Bhalla, Upinder S |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964823/ https://www.ncbi.nlm.nih.gov/pubmed/24668171 http://dx.doi.org/10.7554/eLife.01982 |
Ejemplares similares
-
Summation in the Hippocampal CA3-CA1 Network Remains Robustly Linear Following Inhibitory Modulation and Plasticity, but Undergoes Scaling and Offset Transformations
por: Parameshwaran, Dhanya, et al.
Publicado: (2012) -
Synaptic input sequence discrimination on behavioral timescales mediated by reaction-diffusion chemistry in dendrites
por: Bhalla, Upinder Singh
Publicado: (2017) -
Physiology and Therapeutic Potential of SK, H, and M Medium AfterHyperPolarization Ion Channels
por: Dwivedi, Deepanjali, et al.
Publicado: (2021) -
Brain Atrophy and Reorganization of Structural Network in Parkinson's Disease With Hemiparkinsonism
por: Xu, Xiaojun, et al.
Publicado: (2018) -
PyMOOSE: Interoperable Scripting in Python for MOOSE
por: Ray, Subhasis, et al.
Publicado: (2008)