Integrative Modeling of Prefrontal Cortex

2017 ◽  
Vol 29 (10) ◽  
pp. 1674-1683 ◽  
Author(s):  
William H. Alexander ◽  
Eliana Vassena ◽  
James Deraeve ◽  
Zachary D. Langford
Keyword(s):  
Prefrontal Cortex ◽  
General Principle ◽  
General Function ◽  
Abstract Reasoning ◽  
Diverse Range ◽  
Cognitive Behaviors ◽  
Broad Array ◽  
Or Methodology ◽  
High Level ◽  
Intense Research

pFC is generally regarded as a region critical for abstract reasoning and high-level cognitive behaviors. As such, it has become the focus of intense research involving a wide variety of subdisciplines of neuroscience and employing a diverse range of methods. However, even as the amount of data on pFC has increased exponentially, it appears that progress toward understanding the general function of the region across a broad array of contexts has not kept pace. Effects observed in pFC are legion, and their interpretations are generally informed by a particular perspective or methodology with little regard with how those effects may apply more broadly. Consequently, the number of specific roles and functions that have been identified makes the region a very crowded place indeed and one that appears unlikely to be explained by a single general principle. In this theoretical article, we describe how the function of large portions of pFC can be accommodated by a single explanatory framework based on the computation and manipulation of error signals and how this framework may be extended to account for additional parts of pFC.

scholarly journals Comparison of Activation in the Prefrontal Cortex of Native Speakers of Mandarin by Ability of Japanese as a Second Language Using a Novel Speaking Task

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 412
Author(s):  
Li Cong ◽  
Hideki Miyaguchi ◽  
Chinami Ishizuki
Keyword(s):  
Second Language ◽  
Prefrontal Cortex ◽  
Cognitive Load ◽  
Near Infrared ◽  
Native Speakers ◽  
Brain Activation ◽  
Brain Regions ◽  
Strong Inhibition ◽  
Functional Near Infrared Spectroscopy ◽  
High Level

Evidence shows that second language (L2) learning affects cognitive function. Here in this work, we compared brain activation in native speakers of Mandarin (L1) who speak Japanese (L2) between and within two groups (high and low L2 ability) to determine the effect of L2 ability in L1 and L2 speaking tasks, and to map brain regions involved in both tasks. The brain activation during task performance was determined using prefrontal cortex blood flow as a proxy, measured by functional near-infrared spectroscopy (fNIRS). People with low L2 ability showed much more brain activation when speaking L2 than when speaking L1. People with high L2 ability showed high-level brain activation when speaking either L2 or L1. Almost the same high-level brain activation was observed in both ability groups when speaking L2. The high level of activation in people with high L2 ability when speaking either L2 or L1 suggested strong inhibition of the non-spoken language. A wider area of brain activation in people with low compared with high L2 ability when speaking L2 is considered to be attributed to the cognitive load involved in code-switching L1 to L2 with strong inhibition of L1 and the cognitive load involved in using L2.

scholarly journals Studi Empirik BUMN Pada PT PELINDO III Surabaya Pengaruh Intellectual Capital Terhadap Inovasi Organisasi

2021 ◽  
Vol 5 (1) ◽  
pp. 26-40
Author(s):  
Arfah Arfah
Keyword(s):  
Organizational Climate ◽  
Customer Service ◽  
Intellectual Capital ◽  
Industrial Revolution ◽  
Organizational Innovation ◽  
Diverse Range ◽  
Cultural Heterogeneity ◽  
High Level ◽  
The Impact

The era of the industrial revolution 4.0. In the last century, experts have increasingly convinced that the intellectual resources of an organization determine the competitive advantage of an organization in accelerating the effectiveness of artificial intelligence, especially in presenting the best customer service innovation products. However, there are only a few studies on the relationship between intellectual capital and innovation. Based on the importance of these issues, this study aims to examine the impact of intellectual capital on organizational innovation. Questionnaires have been distributed to 100 employees of PT. Pelindo from Indonesian State-Owned Enterprises (BUMN), and 82 usable questionnaires were returned. The regression statistical method analysis was used to test the hypothesis. The results of the research simultaneously show that intellectual capital has a positive and significant effect on organizational innovation. The next test results partially prove that human capital, organizational capital, and relational capital have a significant and positive effect on organizational innovation. This study opens several pathways for innovation program projects in future Indonesian organizations. The significance of the findings of this study shows the practical implications of the support in the next roadmap on research and development (R&D) of Human Resources and innovation of Indonesian BUMN organizations, particularly at PT. Pelindo as one of the important pillars in the success of the vision of the Indonesian government's maritime axis. Based on the high level of socio-cultural heterogeneity in Indonesia, the implications of follow-up studies are important to expand the sample of employees to a larger and more diverse range and combine other independent variables (such as demographic factors, organizational culture, organizational climate, leadership, job satisfaction or other motivational factors) which may result in different study findings and recommendations.

Assessing data accuracy in a large multi-institutional quality improvement registry: an update from the Pediatric Cardiac Critical Care Consortium (PC4)

2021 ◽  
pp. 1-6
Author(s):  
Jennifer Schuette ◽  
Hayden Zaccagni ◽  
Janet Donohue ◽  
Julie Bushnell ◽  
Kelly Veneziale ◽  
...  
Keyword(s):  
Critical Care ◽  
Quality Improvement ◽  
Institutional Quality ◽  
Data Accuracy ◽  
Broad Array ◽  
Major Discrepancy ◽  
Discrepancy Rate ◽  
Data Auditing ◽  
High Level ◽  
Cardiac Critical Care

Abstract Background: The Pediatric Cardiac Critical Care Consortium (PC4) is a multi-institutional quality improvement registry focused on the care delivered in the cardiac ICU for patients with CHD and acquired heart disease. To assess data quality, a rigorous procedure of data auditing has been in place since the inception of the consortium. Materials and methods: This report describes the data auditing process and quantifies the audit results for the initial 39 audits that took place after the transition from version one to version two of the registry’s database. Results: In total, 2219 total encounters were audited for an average of 57 encounters per site. The overall data accuracy rate across all sites was 99.4%, with a major discrepancy rate of 0.52%. A passing score is based on an overall accuracy of >97% (achieved by all sites) and a major discrepancy rate of <1.5% (achieved by 38 of 39 sites, with 35 of 39 sites having a major discrepancy rate of <1%). Fields with the highest discrepancy rates included arrhythmia type, cardiac arrest count, and current surgical status. Conclusions: The extensive PC4 auditing process, including initial and routinely scheduled follow-up audits of every participating site, demonstrates an extremely high level of accuracy across a broad array of audited fields and supports the continued use of consortium data to identify best practices in paediatric cardiac critical care.

scholarly journals Prefrontal Cortical Response to Conflict during Semantic and Phonological Tasks

2007 ◽  
Vol 19 (5) ◽  
pp. 761-775 ◽  
Author(s):  
Hannah R. Snyder ◽  
Keith Feigenson ◽  
Sharon L. Thompson-Schill
Keyword(s):  
Prefrontal Cortex ◽  
Cognitive Control ◽  
Phonological Processing ◽  
Functional Organization ◽  
Inferior Frontal Gyrus ◽  
General Function ◽  
Left Inferior Frontal Gyrus ◽  
Domain Specific ◽  
Prefrontal Cortical ◽  
Specific Effects

Debates about the function of the prefrontal cortex are as old as the field of neuropsychology—often dated to Paul Broca's seminal work. Theories of the functional organization of the prefrontal cortex can be roughly divided into those that describe organization by process and those that describe organization by material. Recent studies of the function of the posterior, left inferior frontal gyrus (pLIFG) have yielded two quite different interpretations: One hypothesis holds that the pLIFG plays a domain-specific role in phonological processing, whereas another hypothesis describes a more general function of the pLIFG in cognitive control. In the current study, we distinguish effects of increasing cognitive control demands from effects of phonological processing. The results support the hypothesized role for the pLIFG in cognitive control, and more task-specific roles for posterior areas in phonology and semantics. Thus, these results suggest an alternative explanation of previously reported phonology-specific effects in the pLIFG.

scholarly journals Co-creating Science Commercialization Opportunities for Blue Biotechnologies: The FucoSan Project

2020 ◽  
Vol 12 (14) ◽  
pp. 5578
Author(s):  
Ferran Giones ◽  
Daniel Laufs ◽  
Carsten Schultz
Keyword(s):  
Value Chain ◽  
Shared Understanding ◽  
Diverse Range ◽  
Positive Effects ◽  
Biotechnology Research ◽  
Business Modelling ◽  
Broad Array ◽  
Potential Applications ◽  
Necessary Connections ◽  
Analyze Data

We report the experience of the FucoSan InterReg project that had the ambition to generate commercialization opportunities for biotechnology research in a marine environment. Fucoidan, a promising biomarine polysaccharide extracted from seaweed, offers a broad array of potential applications; however, the supporting innovation value chain is still under development. We explore how the use of business modelling tools can contribute to building a shared understanding of commercialization opportunities across a diverse range of research and development actors. We analyze data (interviews, workshops, and surveys) from a German-Danish network of actors involved in the FucoSan InterReg project to identify how the tools contribute to setting up a base to support future activities across a potential innovation value chain. The results point towards the direct and indirect positive effects of engaging in the co-creation of a shared understanding of the functionality and possibilities of promising biomarine products. The findings support the idea that interdisciplinary and multilateral interactions help actors to identify the necessary connections and interdependencies to build a sustainability-driven innovation value chain.

scholarly journals Prefrontal Abilities

1993 ◽  
Vol 6 (2) ◽  
pp. 75-81 ◽  
Author(s):  
D. F. Benson
Keyword(s):  
Neural Networks ◽  
Prefrontal Cortex ◽  
The Neural Networks ◽  
Cognitive Activities ◽  
High Level ◽  
Neuroanatomical Region ◽  
Cognitive Competency

The neuroanatomical region that has most prominently altered with the advancing cognitive competency of the human is the prefrontal cortex, particularly the rostral extreme. While the prefrontal cortex does not appear to contain the neural networks that carry out cognitive activities, the management of these high level manipulations, so uniquely characteristic of the human, appears dependent upon the prefrontal cortex.

Remoteness of Damages and Judicial Discretion

1978 ◽  
Vol 37 (2) ◽  
pp. 288-300 ◽  
Author(s):  
Robin Cooke
Keyword(s):  
General Principle ◽  
Common Law ◽  
Case Law ◽  
Judicial Discretion ◽  
High Level

The law about remoteness of damage in contract and tort is in a strangely unsettled state. Pursuing justice in individual cases, the courts have felt driven into vacillations on points of general principle which have not shown our system of case law at its best. Yet there is perhaps no field of common law in which there have been so many attempts by judges, and at a high level of authority, to formulate principles or rules in exact terms. A glance over ground mainly very familiar may not be wasted if it happens to contribute anything towards attaining a more stable perspective.

scholarly journals Face selective patches in marmoset frontal cortex

2020 ◽  
Author(s):  
David J. Schaeffer ◽  
Janahan Selvanayagam ◽  
Kevin D. Johnston ◽  
Ravi S. Menon ◽  
Winrich A. Freiwald ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Frontal Cortex ◽  
Anterior Cingulate Cortex ◽  
Face Processing ◽  
New World ◽  
Anterior Cingulate ◽  
Old World ◽  
Lateral Prefrontal Cortex ◽  
Socially Relevant ◽  
High Level

AbstractPrimates have evolved the ability transmit important social information through facial expression. In humans and macaque monkeys, socially relevant face processing is accomplished via a distributed cortical and subcortical functional network that includes specialized patches in anterior cingulate cortex and lateral prefrontal cortex, regions usually associated with high-level cognition. It is unclear whether a similar network exists in New World primates, who diverged ~35 million years from Old World primates and have a less elaborated frontal cortex. The common marmoset (Callithrix jacchus) is a small New World primate that is ideally placed to address this question given the complex social repertoire inherent to this species (e.g., observational social learning; imitation; cooperative antiphonal calling). Here, we investigated the existence of a putative high-level face processing network in marmosets by employing ultra-high field (9.4 Tesla) task-based functional MRI (fMRI). We demonstrated that, like Old World primates, marmosets show differential activation in anterior cingulate cortex and lateral prefrontal cortex while they view socially relevant videos of marmoset faces. We corroborate the locations of these frontal regions by demonstrating both functional (via resting-state fMRI) and structural (via cellular-level tracing) connectivity between these regions and temporal lobe face patches. Given the evolutionary separation between macaques and marmosets, our results suggest this frontal network specialized for social face processing predates the separation between Platyrrhini and Catarrhine. These results give further credence to the marmoset as a viable preclinical modelling species for studying human social disorders.

scholarly journals The Case for Integrating Multi-Source Data for a Fairer and Holistic Judgement of Competence in Medical Education & Training

2020 ◽  
Vol 14 (1) ◽  
pp. 1-9
Author(s):  
Subodh Dave ◽  
Roshelle Ramkisson ◽  
Chelliah R Selvasekar ◽  
Indranil Chakravorty
Keyword(s):  
Clinical Practice ◽  
Digital Literacy ◽  
Training Programme ◽  
Teaching Quality ◽  
Formative Assessments ◽  
Large Magnitude ◽  
High Stakes ◽  
Diverse Range ◽  
Academic Scholarship ◽  
High Level

Being a doctor in the 21st Century requires a diverse range of skills, a broad base of knowledge and a suite of professional values and attitudes that enable the clinical practice to be safe, effective and caring. Doctors, irrespective of their speciality, need to be knowledgeable and skilful not just in their area of expertise but also need a range of generic skills and capabilities such as communication, leadership, academic scholarship and research, teaching, quality improvement, advocacy, digital literacy to name a few. These capabilities, all relevant to clinical practice, are assessed routinely in clinical settings. This rich information about trainees, available from their formative assessments, does not inform high-stakes judgements about progression. Instead, these judgements are usually made on the basis of summative examinations conducted in simulated settings.   Unfortunately, these summative assessments have consistently delivered results with a large magnitude of the differential between the outcomes of candidates, based on factors such as ethnicity, gender, other protected characteristics and also the country of primary medical qualification. Formative assessment during training, however, is individualised and tends not to show this level of difference; leading to a situation where failure in summative examinations comes as a surprise to both trainees and to training programme directors.   There is evidence that periodic assessment of trainees’ acquisition of core capabilities can help make balanced, informed judgements about readiness for progression. The move from a pass/fail categorisation to a yet/not yet categorisation when coupled with appropriate remedial measures can improve, both the validity, as well as the fairness of assessments.     The large magnitude of the differential in outcomes of high-stakes assessments cannot be fixed by tweaking current assessment systems. Instead, there needs to be a recognition that high-level of capabilities consistently demonstrated in the workplace need to play a role in judgements about progression. Failure to do so is unfair, wasteful of public finances, and in breach of the trust places by the public, in training safe and competent clinicians.

scholarly journals Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex

2017 ◽  
Author(s):  
Grace W. Lindsay ◽  
Mattia Rigotti ◽  
Melissa R. Warden ◽  
Earl K. Miller ◽  
Stefano Fusi
Keyword(s):  
Prefrontal Cortex ◽  
Hebbian Learning ◽  
Rhesus Macaques ◽  
Random Network ◽  
Learning Rule ◽  
Geometric Interpretation ◽  
Cognitive Behaviors ◽  
Model Match ◽  
The Impact ◽  
Random Connectivity

AbstractComplex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by prefrontal cortex (PFC). Neural activity in PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear ‘mixed’ selectivity is an important neurophysiological trait for enabling complex and context-dependent behaviors. Here we investigate (1) the extent to which PFC exhibits computationally relevant properties such as mixed selectivity and (2) how such properties could arise via circuit mechanisms. We show that PFC cells recorded from male and female rhesus macaques during a complex task show a moderate level of specialization and structure that is not replicated by a model wherein cells receive random feedforward inputs. While random connectivity can be effective at generating mixed selectivity, the data shows significantly more mixed selectivity than predicted by a model with otherwise matched parameters. A simple Hebbian learning rule applied to the random connectivity, however, increases mixed selectivity and allows the model to match the data more accurately. To explain how learning achieves this, we provide analysis along with a clear geometric interpretation of the impact of learning on selectivity. After learning, the model also matches the data on measures of noise, response density, clustering, and the distribution of selectivities. Of two styles of Hebbian learning tested, the simpler and more biologically plausible option better matches the data. These modeling results give intuition about how neural properties important for cognition can arise in a circuit and make clear experimental predictions regarding how various measures of selectivity would evolve during animal training.Significance StatementPrefrontal cortex (PFC) is a brain region believed to support the ability of animals to engage in complex behavior. How neurons in this area respond to stimuli—and in particular, to combinations of stimuli (”mixed selectivity”)—is a topic of interest. Despite the fact that models with random feedforward connectivity are capable of creating computationally-relevant mixed selectivity, such a model does not match the levels of mixed selectivity seen in the data analyzed in this study. Adding simple Hebbian learning to the model increases mixed selectivity to the correct level and makes the model match the data on several other relevant measures. This study thus offers predictions on how mixed selectivity and other properties evolve with training.

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