Microcircuit remodeling processes underlying learning in the adult

One of the most intriguing discoveries in neuroscience of the past decades has been showing that experience is able to induce structural modifications in cortical microcircuit that might underlie the formation of memories upon learning (for a review, see Caroni, Donato and Muller 2012). Hence, learning induces phases of synapse formation and elimination that are strictly regulated by a variety of mechanisms, which impact on cortical microcircuits affecting both excitatory and inhibitory neurons. Nevertheless, the extent to which specific configurations might be implemented to support specific phases of learning, as well as the impact of experience-induced structural modifications on further learning, is still largely unknown. Here, I explore how the remodeling of identified microcircuits in the mouse hippocampus and neocortex supports learning in the adult. In the first part, I identifiy a microcircuit module engaging VIP and Parvalbumin (PV) positive interneurons to regulate the state of the PV+ network upon experience. This defines states of enhanced or reduced structural plasticity and learning based on the distribution of PV intensity in the network. In the second part, I demonstrate how specific hippocampal subdivisions are exploited to learn subtasks of trial-and-errors forms of learning via the deployment of increasingly precise searching strategies, and sequential recruitment of ventral, intermediate, and dorsal hippocampus. In the third part, I highlight the existence of genetically matched subpopulations of principal cells in the hippocampus, which achieve selective connectivity across hippocampal subdivisions via matched windows of neurogenesis and synaptogenesis during development. In the fourth part, I investigate the maturation of microcircuits mediating feedforward inhibition in the hippocampus, and highlight windows during development for the establishment of the proper baseline configuration in the adult. Moreover, I identify a critical window for cognitive enhancement during hippocampal development. In the fifth part, I study how ageing affects the PV network in hippocampal CA3, providing evidence for which age related neuronal loss correlates to reduced incidental learning performances in old mice. Therefore, by manipulating the PV network early during life, I provide strategies to modulate cognitive decline

On distributed virtual network embedding with guarantees

To provide wide-area network services, resources from different infrastructure providers are needed. Leveraging the consensus-based resource allocation literature, we propose a general distributed auction mechanism for the (NP-hard) virtual network (VNET) embedding problem. Under reasonable assumptions on the bidding scheme, the proposed mechanism is proven to converge, and it is shown that the solutions guarantee a worst case efficiency of (?????) relative to the optimal solution, and that this bound is optimal, that is, no better approximation exists. Using extensive simulations, we confirm superior convergence properties and resource utilization when compared with existing distributed VNET embedding solutions, and we show how byappropriate policy design, our mechanism can be instantiated to accommodate the embedding goals of different service and infrastructure providers, resulting in an attractive and flexible resource allocation solution.This work is supported in part by the National Science Foundation under grant CNS-0963974

On distributed virtual network embedding with guarantees

To provide wide-area network services, resources from different infrastructure providers are needed. Leveraging the consensus-based resource allocation literature, we propose a general distributed auction mechanism for the (NP-hard) virtual network (VNET) embedding problem. Under reasonable assumptions on the bidding scheme, the proposed mechanism is proven to converge, and it is shown that the solutions guarantee a worst case efficiency of (?????) relative to the optimal solution, and that this bound is optimal, that is, no better approximation exists. Using extensive simulations, we confirm superior convergence properties and resource utilization when compared with existing distributed VNET embedding solutions, and we show how byappropriate policy design, our mechanism can be instantiated to accommodate the embedding goals of different service and infrastructure providers, resulting in an attractive and flexible resource allocation solution.This work is supported in part by the National Science Foundation under grant CNS-0963974

On distributed virtual network embedding with guarantees

To provide wide-area network services, resources from different infrastructure providers are needed. Leveraging the consensus-based resource allocation literature, we propose a general distributed auction mechanism for the (NP-hard) virtual network (VNET) embedding problem. Under reasonable assumptions on the bidding scheme, the proposed mechanism is proven to converge, and it is shown that the solutions guarantee a worst-case efficiency of (1-(1/e)) relative to the optimal node embedding, or VNET embedding if virtual links are mapped to exactly one physical link. This bound is optimal, that is, no better polynomial-time approximation algorithm exists, unless P=NP. Using extensive simulations, we confirm superior convergence properties and resource utilization when compared to existing distributed VNET embedding solutions, and we show how by appropriate policy design, our mechanism can be instantiated to accommodate the embedding goals of different service and infrastructure providers, resulting in an attractive and flexible resource allocation solution.CNS-0963974 - National Science Foundationhttp://www.cs.bu.edu/fac/matta/Papers/ToN-CAD.pdfAccepted manuscrip

Navigation: How Spatial Cognition Is Transformed into Action

Navigation relies on the brain's ability to build a cognitive map of the environment, and to use such a map to guide the animal's movements to goals. A new study proposes that the secondary motor cortex might convert the map into action

Introduction to the special issue on the ontogeny of hippocampal functions

No Abstract available