Neuromorphic object localization using resistive memories and ultrasonic transducers

Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary Metal-Oxide Semiconductor neuromorphic architectures provide an ideal hardware substrate for such tasks. To demonstrate the full potential of such systems, we propose and experimentally demonstrate an end-to-end sensory processing solution for a real-world object localization application. Drawing inspiration from the barn owl’s neuroanatomy, we developed a bio-inspired, event-driven object localization system that couples state-of-the-art piezoelectric micromachined ultrasound transducer sensors to a neuromorphic resistive memories-based computational map. We present measurement results from the fabricated system comprising resistive memories-based coincidence detectors, delay line circuits, and a full-custom ultrasound sensor. We use these experimental results to calibrate our system-level simulations. These simulations are then used to estimate the angular resolution and energy efficiency of the object localization model. The results reveal the potential of our approach, evaluated in orders of magnitude greater energy efficiency than a microcontroller performing the same task

Ageing, Muscle Power and Physical Function: A Systematic Review and Implications for Pragmatic Training Interventions.

BACKGROUND: The physiological impairments most strongly associated with functional performance in older people are logically the most efficient therapeutic targets for exercise training interventions aimed at improving function and maintaining independence in later life. OBJECTIVES: The objectives of this review were to (1) systematically review the relationship between muscle power and functional performance in older people; (2) systematically review the effect of power training (PT) interventions on functional performance in older people; and (3) identify components of successful PT interventions relevant to pragmatic trials by scoping the literature. METHODS: Our approach involved three stages. First, we systematically reviewed evidence on the relationship between muscle power, muscle strength and functional performance and, second, we systematically reviewed PT intervention studies that included both muscle power and at least one index of functional performance as outcome measures. Finally, taking a strong pragmatic perspective, we conducted a scoping review of the PT evidence to identify the successful components of training interventions needed to provide a minimally effective training dose to improve physical function. RESULTS: Evidence from 44 studies revealed a positive association between muscle power and indices of physical function, and that muscle power is a marginally superior predictor of functional performance than muscle strength. Nine studies revealed maximal angular velocity of movement, an important component of muscle power, to be positively associated with functional performance and a better predictor of functional performance than muscle strength. We identified 31 PT studies, characterised by small sample sizes and incomplete reporting of interventions, resulting in less than one-in-five studies judged as having a low risk of bias. Thirteen studies compared traditional resistance training with PT, with ten studies reporting the superiority of PT for either muscle power or functional performance. Further studies demonstrated the efficacy of various methods of resistance and functional task PT on muscle power and functional performance, including low-load PT and low-volume interventions. CONCLUSIONS: Maximal intended movement velocity, low training load, simple training methods, low-volume training and low-frequency training were revealed as components offering potential for the development of a pragmatic intervention. Additionally, the research area is dominated by short-term interventions producing short-term gains with little consideration of the long-term maintenance of functional performance. We believe the area would benefit from larger and higher-quality studies and consideration of optimal long-term strategies to develop and maintain muscle power and physical function over years rather than weeks

Discours d'ouverture de Jean-Paul Clémençon, Chef de cabinet du président du CNOSF

Clémençon Jean-Paul. Discours d'ouverture de Jean-Paul Clémençon, Chef de cabinet du président du CNOSF . In: Les Cahiers de l'INSEP, n°40, 2008. Sport de haut niveau au féminin. Tome 3. Entretiens de l'INSEP 11, 12, 13 décembre 2007. pp. 17-20

Quelle gouvernance pour le sport professionnel ?

Clémençon Jean-Paul. Quelle gouvernance pour le sport professionnel ?. In: Les Cahiers de l'INSEP, n°42, 2008. Le sport professionnel : état des lieux et perspectives. pp. 150-154

Paul Clémençon (illustrateur 18..-19..) : signature

Paul Clémençon (illustrateur 18..-19..) : signatur

La Bataille de Reischoffen. Poème dramatique [illustration Paul Clémençon d'après Aimé Morot] [1891]

La Bataille de Reischoffen. Poème dramatique dit par M. Mounet-Sully de la Comédie française. Paroles de René Esse [texte sans musique] ; Henri Pascal Éditeur, ancienne maison Albert Repos [illustration signée] Paul Clémençon d'après Aimé Morot. [sans date] ; datation du titre 1891 (recherche Daphy), 1897 par BNF ; datation de l'exemplaire entre 1904 et 1907 (Devriès & Lesure)

Quelles stratégies fédérales de développement du sport féminin ?

Saintmacary Christophe, Coquoz Francis, Clémençon Jean-Paul, Carpentier Caroline. Quelles stratégies fédérales de développement du sport féminin ?. In: Les Cahiers de l'INSEP, n°32, 2002. Sport de haut niveau au féminin (tome II) pp. 423-450

Aerosol Alteration of Behavioral Response to Pheromone in Bombyx mori

International audienc

Neuromorphic object localization using resistive memories and ultrasonic transducers

Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary Metal-Oxide Semiconductor neuromorphic architectures provide an ideal hardware substrate for such tasks. To demonstrate the full potential of such systems, we propose and experimentally demonstrate an end-to-end sensory processing solution for a real-world object localization application. Drawing inspiration from the barn owl’s neuroanatomy, we developed a bio-inspired, event-driven object localization system that couples state-of-the-art piezoelectric micromachined ultrasound transducer sensors to a neuromorphic resistive memories-based computational map. We present measurement results from the fabricated system comprising resistive memories-based coincidence detectors, delay line circuits, and a full-custom ultrasound sensor. We use these experimental results to calibrate our system-level simulations. These simulations are then used to estimate the angular resolution and energy efficiency of the object localization model. The results reveal the potential of our approach, evaluated in orders of magnitude greater energy efficiency than a microcontroller performing the same task