Proficient brain for optimal performance: the MAP model perspective

Background. The main goal of the present study was to explore theta and alpha event-related desynchronization/synchronization (ERD/ERS) activity during shooting performance. We adopted the idiosyncratic framework of the multi-action plan (MAP) model to investigate different processing modes underpinning four types of performance. In particular, we were interested in examining the neural activity associated with optimal-automated (Type 1) and optimal-controlled (Type 2) performances. Methods. Ten elite shooters (6 male and 4 female) with extensive international experience participated in the study. ERD/ERS analysis was used to investigate cortical dynamics during performance. A 4 × 3 (performance types × time) repeated measures analysis of variance was performed to test the differences among the four types of performance during the three seconds preceding the shots for theta, low alpha, and high alpha frequency bands. The dependent variables were the ERD/ERS percentages in each frequency band (i.e., theta, low alpha, high alpha) for each electrode site across the scalp. This analysis was conducted on 120 shots for each participant in three different frequency bands and the individual data were then averaged. Results. We found ERS to be mainly associated with optimal-automatic performance, in agreement with the “neural efficiency hypothesis.” We also observed more ERD as related to optimal-controlled performance in conditions of “neural adaptability” and proficient use of cortical resources. Discussion. These findings are congruent with the MAP conceptualization of four performance states, in which unique psychophysiological states underlie distinct performance-related experiences. From an applied point of view, our findings suggest that the MAP model can be used as a framework to develop performance enhancement strategies based on cognitive and neurofeedback technique

Advancing the cell culture landscape:the instructive potential of artificial and natural geometries

This research focuses on how surface structures can influence the behaviour of cells. There is a great diversity of surface structures, which makes the identification of an optimal physical environment for a specific phenotype difficult. Therefore, platforms that allow screening of many different designs at the same time facilitate the identification of an optimal cultural environment. Using the TopoChip, which contains 2176 unique microtopographies, structures have been identified that support the tenocyte phenotype, the primary cell type of the tendon. In addition, this also applies to mesenchymal stem cells (MSCs), which experience an activation of tendon-related genes. Furthermore, the library has been creatively expanded by using natural surface topographies that cause unique cell behaviour, such as promoting osteogenesis

Swarm-Organized Topographic Mapping

Topographieerhaltende Abbildungen versuchen, hochdimensionale oder komplexe Datenbestände auf einen niederdimensionalen Ausgaberaum abzubilden, wobei die Topographie der Daten hinreichend gut wiedergegeben werden soll. Die Qualität solcher Abbildung hängt gewöhnlich vom eingesetzten Nachbarschaftskonzept des konstruierenden Algorithmus ab. Die Schwarm-Organisierte Projektion ermöglicht eine Lösung dieses Parametrisierungsproblems durch die Verwendung von Techniken der Schwarmintelligenz. Die praktische Verwendbarkeit dieser Methodik wurde durch zwei Anwendungen auf dem Feld der Molekularbiologie sowie der Finanzanalytik demonstriert

FUNCTIONAL VALUE AND SPATIAL ATTENTION SIGNALS OCCUPY TOPOGRAPHICAL HUBS IN THE MACAQUE FRONTO-CINGULATE CORTEX

For behaviourally relevant choices to be made a variety of bottom-up sensory cues from the environment and top-down signals from the brain must integrate in a context dependent manner in order to optimize behaviour. Of these signals the location and value of potential stimuli are of critical importance. We tested the hypothesis that the neural correlates of these signals are present and integrate in cortical hubs across the fronto-cingulate axis. Furthermore we postulated that failure of this recruitment of information would result in suboptimal performance (errors). We recorded from 811 single cells across the fronto- cingulate cortex in areas, 24a/b/c, 32, 10, 8, 8b, 9 and 46 from two male rhesus macaques. Using a variant of a well-established paradigm eliciting specific rule guided behaviour we were able to independently analyze and map the neural correlates of spatial attention and reward value. We discovered four functional clusters that convey attentional rule signals in the lateral prefrontal cortex (IPFC) and anterior cingulate cortex (ACC). We also found that clusters of neurons coding value intersected with spatial attention signals in the ACC when value was high and in the IPFC when value of the cued target was low. Absence of neural activity in these clusters during periods of shifting attention was associated with errors. Therefore we concluded that reward value-expectancy and spatial attention selection signals, which are part of a larger cognitive control network, exist and are integrated in confined functional hubs of the fronto-cingulate cortex

Neurogenesis Drives Stimulus Decorrelation in a Model of the Olfactory Bulb

The reshaping and decorrelation of similar activity patterns by neuronal networks can enhance their discriminability, storage, and retrieval. How can such networks learn to decorrelate new complex patterns, as they arise in the olfactory system? Using a computational network model for the dominant neural populations of the olfactory bulb we show that fundamental aspects of the adult neurogenesis observed in the olfactory bulb -- the persistent addition of new inhibitory granule cells to the network, their activity-dependent survival, and the reciprocal character of their synapses with the principal mitral cells -- are sufficient to restructure the network and to alter its encoding of odor stimuli adaptively so as to reduce the correlations between the bulbar representations of similar stimuli. The decorrelation is quite robust with respect to various types of perturbations of the reciprocity. The model parsimoniously captures the experimentally observed role of neurogenesis in perceptual learning and the enhanced response of young granule cells to novel stimuli. Moreover, it makes specific predictions for the type of odor enrichment that should be effective in enhancing the ability of animals to discriminate similar odor mixtures