We argue that a radically increased emphasis on (bounded) optimality can contribute to cognitive science by supporting prediction. Bounded optimality (computational rationality), an idea that borrowed from artificial intelligence, supports a priori behavioral prediction from constrained generative models of cognition. Bounded optimality thereby addresses serious failings with the logic and testing of descriptive models of perception and action.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1017/S0140525X18001486 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
High-prediction QSAR Modeling Study Based on the Efficacy of a Novel 6-hydroxybenzothiazole-2-carboxamide Targeted Monoamine Oxidase B in the Treatment of Neurodegenerative Diseases.
Med Chem
January 2025
Department of Neurosurgery, The 940th Hospital of Joint Logistics Support force of Chinese People's Liberation Army, Lanzhou, China.
Background: Neurodegenerative diseases are a group of disorders characterized by progressive neuronal degeneration and death, of which Alzheimer's disease and Parkinson's disease are the most common. These diseases are closely associated with increased expression of monoamine oxidase B (MAO-B), an important enzyme that regulates neurotransmitter concentration, and its overactivity leads to oxidative stress and neurotoxicity, accelerating the progression of neurodegenerative diseases. Therefore, the development of effective MAO-B inhibitors is important for the treatment of neurodegenerative diseases.
View Article and Find Full Text PDFNoise amplification and ill-convergence of Richardson-Lucy deconvolution.
Nat Commun
January 2025
Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Richardson-Lucy (RL) deconvolution optimizes the likelihood of the object estimate for an incoherent imaging system. It can offer an increase in contrast, but converges poorly, and shows enhancement of noise as the iteration progresses. We have discovered the underlying reason for this problematic convergence behaviour using a Cramér Rao Lower Bound (CRLB) analysis.
View Article and Find Full Text PDFEnhancing non-viral gene delivery to human T cells through tuning nanoparticles physicochemical features, modulation cellular physiology, and refining transfection strategies.
Biomed Pharmacother
January 2025
Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran. Electronic address:
Genetically engineered immune cells hold great promise for treating immune-related diseases, but their development is hindered by technical challenges, primarily related to nucleic acid delivery. Polyethylenimine (PEI) is a cost-effective transfection agent, yet it requires significant optimization for effective T cell transfection. In this study, we comprehensively fine-tuned the characteristics of PEI/DNA nanoparticles, culture conditions, cellular physiology, and transfection protocols to enhance gene delivery into T cells.
View Article and Find Full Text PDFOptimizing energy threshold selection for low-concentration contrast agent quantification in small animal photon-counting CT.
Phys Med Biol
January 2025
Department of Radiology, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, Boston, Massachusetts, MA 02114, UNITED STATES.
Gold nanoparticles (GNPs) are widely used for biological research and applications. The in-vivo concentration of GNPs is usually low due to biological safety concerns, thus posing a challenge for imaging. This work investigates on optimal energy threshold selection in photon-counting detector(PCD)-based CT (PCCT) for the quantification of low-concentration GNPs.
View Article and Find Full Text PDFDevelopment of an G Protein-Coupled Receptor Fragment Molecule Screening Approach with High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance.
ACS Chem Biol
January 2025
Department of Chemistry, University of Florida, Gainesville Florida 32611, United States.
Small molecules are essential for investigating the pharmacology of membrane proteins and remain the most common approach for therapeutically targeting them. However, most experimental small molecule screening methods require ligands containing radiolabels or fluorescent labels and often involve isolating proteins from their cellular environment. Additionally, most conventional screening methods are suited for identifying compounds with moderate to higher affinities ( < 1 μM) and are less effective at detecting lower affinity compounds, such as weakly binding molecular fragments.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!