This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis. A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics.

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

This proceedings contains articles submitted to the fifth International Conference on Cognitive Neurodynamics (ICCN2015). In ICCN2015, twelve invited plenary lectures were presented by the leading scientists in their respective research fields. More than 15 mini-symposiums are organized by specialists with topics covering: motor control and learning, dynamic coding in distributed neural circuits, dynamics of firing patterns and synchronization in neuronal systems, information and signal processing techniques in neurotechnology, neural oscillations and synaptic plasticity in the hippocampus, new perspective on model-based vs. model-free brain process, neural mechanisms of internal switching, neuroinformation computation, neural model and dynamics, imaging human cognitive networks, neuroinformatics, neuroergonomics & neuroengineering, dynamic brain for communication, visual information processing and functional imaging and neural mechanisms of language processing. All articles are peer-reviewed. The ICCN is a series conference held every two years since 2007.

The CA3 hippocampal region receives information from the entorhinal cortex either directly from the perforant path or indirectly from the dentate gyrus via the mossy fibers (MFs). According to their specific targets (principal/mossy cells or interneurons), MFs terminate with large boutons or small filopodial extensions, respectively. MF-CA3 synapses are characterized by a low probability of release and pronounced frequency-dependent facilitation. In addition MF terminals are endowed with mGluRs that regulate their own release. We will describe the intrinsic membrane properties of pyramidal cells, which can sometimes fire in bursts, together with the geometry of their dendritic arborization. The single layer of pyramidal cells is quite distinct from the six-layered neocortical arrangement. The resulting aligned dendrites provides the substrate for laminated excitatory inputs. They also underlie a precise, diversity of inhibitory control which we will also describe in detail. The CA3 region has an especially rich internal connectivity, with recurrent excitatory and inhibitory loops. In recent years both in vivo and in vitro studies have allowed to better understand functional properties of the CA3 auto-associative network and its role in information processing. This circuit is implicated in encoding spatial representations and episodic memories. It generates physiological population synchronies, including gamma, theta and sharp-waves that are presumed to associate firing in selected assemblies of cells in different behavioral conditions. The CA3 region is susceptible to neurodegeneration during aging and after stresses such as infection or injury. Loss of some CA3 neurones has striking effects on mossy fiber inputs and can facilitate the generation of pathologic synchrony within the CA3 micro-circuit. The aim of this special topic is to bring together experts on the cellular and molecular mechanisms regulating the wiring properties of the CA3 hippocampal microcircuit in both physiological and pathological conditions, synaptic plasticity, behavior and cognition.We will particularly emphasize the dual glutamatergic and GABAergic phenotype of MF-CA3 synapses at early developmental stages and the steps that regulate the integration of newly generated neurons into the adult dentate gyrus-CA3 circuit.

There is perhaps no other single technology or industry subsector, with the exception of AI, that has more potential to accelerate the realization of real-world impacts in Longevity across the full scope of its sectors and domains - industry, policy, investment, entrepreneurship, policy, and governance - than Biomarkers of Human Longevity. Given the unique confluence of Biomarkers of Human Longevity's disruptive impact and accelerative potential, on the one hand, and the high degree of disharmonization in terms of what they are and how they could and should be used, on the other hand, it is clear to me that there is a pressing unmet need for the production of a dedicated book that takes Biomarkers of Longevity as its central concern and major fulcrum, identifying the true potential that this technology has to increase individual and national Health-Adjusted Life Expectancy (HALE) and Quality-Adjusted Life Expectancy (QALY), optimize strategic decision-making for start-ups and corporations, de-risk investment, provide for the first time a tangible framework for company valuation, due diligence based on human validation, enable reliable forecasting clinical outcomes, serve as an effective platform for safe self-experimentation and personalized therapeutic fine-tuning, and pave the way for a much more tangible, stable and scalable Global Longevity Industry, where Longevity's socially-inclusive humanitarian impact is maximized and its potential ethical and socioeconomic concerns are neutralized. Deep Knowledge Group and its Longevity-focused subsidiaries and affiliates, including its analytical subsidiary Aging Analytics Agency, its specialized investment arm Longevity.Capital, its portfolio companies Longevity Banking Card and Longevity Financial Advisors and the international non-profit consortium Longevity.International, have prioritized the pressing need and the extreme potential of Biomarkers of Human Longevity (and integrated them in various ways into its overall scope of activities and strategic agenda) for several years now, and are expertly positioned to provide a tangible understanding of the major challenges and opportunities to be faced within this domain, and how they can be applied by individuals, institutions and even entire governments in order to achieve their maximum benefits while neutralizing potential pitfalls and issues.