@article{19718, abstract = {The cerebral cortex is arguably the most complex organ in humans. The cortical architecture is characterized by a remarkable diversity of neuronal and glial cell types that make up its neuronal circuits. Following a precise temporally ordered program, radial glia progenitor (RGP) cells generate all cortical excitatory projection neurons and glial cell-types. Cortical excitatory projection neurons are produced either directly or via intermediate progenitors, through indirect neurogenesis. How the extensive cortical cell-type diversity is generated during cortex development remains, however, a fundamental open question. How do RGPs quantitatively and qualitatively generate all the neocortical neurons? How does direct and indirect neurogenesis contribute to the establishment of neuronal and lineage heterogeneity? Whether RGPs represent a homogeneous and/or multipotent progenitor population, or if RGPs consist of heterogeneous groups is currently also not known. In this review, we will summarize the latest findings that contributed to a deeper insight into the above key questions.}, author = {Pipicelli, Fabrizia and Villalba Requena, Ana and Hippenmeyer, Simon}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, publisher = {Elsevier}, title = {{How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex}}, doi = {10.1016/j.conb.2025.103046}, volume = {93}, year = {2025}, } @article{12679, abstract = {How to generate a brain of correct size and with appropriate cell-type diversity during development is a major question in Neuroscience. In the developing neocortex, radial glial progenitor (RGP) cells are the main neural stem cells that produce cortical excitatory projection neurons, glial cells, and establish the prospective postnatal stem cell niche in the lateral ventricles. RGPs follow a tightly orchestrated developmental program that when disrupted can result in severe cortical malformations such as microcephaly and megalencephaly. The precise cellular and molecular mechanisms instructing faithful RGP lineage progression are however not well understood. This review will summarize recent conceptual advances that contribute to our understanding of the general principles of RGP lineage progression.}, author = {Hippenmeyer, Simon}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, keywords = {General Neuroscience}, number = {4}, publisher = {Elsevier}, title = {{Principles of neural stem cell lineage progression: Insights from developing cerebral cortex}}, doi = {10.1016/j.conb.2023.102695}, volume = {79}, year = {2023}, } @article{8019, abstract = {Synaptic plasticity is essential for the function of neural systems. It sets up initial circuitry and adjusts connection strengths according to the maintenance requirements of its host networks. Like all things biological, synaptic plasticity must rely on genetic programs to provide the molecular components of its machinery to integrate ongoing, often multi-sensory experience without destabilising effects. Because of its fundamental importance to healthy behaviour, understanding plasticity is thought to hold the key to understanding the brain. There are innumerable ways to approach this topic and a complete review of its status quo would be impossible. In the current issue we dig into some of the finer points of synaptic plasticity, starting small, at the level of genes, and slowly zooming out to synapses, populations of synapses, and finally entire systems and brain regions. At each level, we tried to represent different perspectives, different systems, and approaches to the same questions to give a broad sampling of how synaptic plasticity is being studied.}, author = {Vogels, Tim P and Griffith, Leslie C}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, pages = {A1--A5}, publisher = {Elsevier}, title = {{Editorial overview: Neurobiology of learning and plasticity 2017}}, doi = {10.1016/j.conb.2017.04.002}, volume = {43}, year = {2017}, } @article{730, abstract = {Neural responses are highly structured, with population activity restricted to a small subset of the astronomical range of possible activity patterns. Characterizing these statistical regularities is important for understanding circuit computation, but challenging in practice. Here we review recent approaches based on the maximum entropy principle used for quantifying collective behavior in neural activity. We highlight recent models that capture population-level statistics of neural data, yielding insights into the organization of the neural code and its biological substrate. Furthermore, the MaxEnt framework provides a general recipe for constructing surrogate ensembles that preserve aspects of the data, but are otherwise maximally unstructured. This idea can be used to generate a hierarchy of controls against which rigorous statistical tests are possible.}, author = {Savin, Cristina and Tkacik, Gasper}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, pages = {120 -- 126}, publisher = {Elsevier}, title = {{Maximum entropy models as a tool for building precise neural controls}}, doi = {10.1016/j.conb.2017.08.001}, volume = {46}, year = {2017}, } @article{7699, author = {Sweeney, Lora Beatrice Jaeger and Kelley, Darcy B}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, number = {10}, pages = {34--41}, publisher = {Elsevier}, title = {{Harnessing vocal patterns for social communication}}, doi = {10.1016/j.conb.2014.06.006}, volume = {28}, year = {2014}, } @article{3460, abstract = {Excitatory postsynaptic currents in neurones of the central nervous system have a dual-component time course that results from the co-activation of AMPA/kainate-type and NMDA-type glutamate receptors. New approaches in electrophysiology and molecular biology have provided a better understanding of the factors that determine the kinectics of excitatory postsynaptic currents. Recent studies suggest that the time course of neurotransmitter concentration in the synaptic cleft, the gating properties of the native channels, and the glutamate receptor subunit composition all appear to be important factors.}, author = {Jonas, Peter M and Spruston, Nelson}, issn = {0959-4388}, journal = {Current Opinion in Neurobiology}, number = {3}, pages = {366 -- 372}, publisher = {Elsevier}, title = {{Mechanisms shaping glutamate-mediated excitatory postsynaptic currents in the CNS}}, doi = {10.1016/0959-4388(94)90098-1}, volume = {4}, year = {1994}, }