From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach

People learn modality-independent, conceptual representations from modality-specific sensory signals. Here, we hypothesize that any system that accomplishes this feat will include three components: a representational language for characterizing modality-independent representations, a set of sensory-specific forward models for mapping from modality-independent representations to sensory signals, and an inference algorithm for inverting forward models—that is, an algorithm for using sensory signals to infer modality-independent representations. To evaluate this hypothesis, we instantiate it in the form of a computational model that learns object shape representations from visual and/or haptic signals. The model uses a probabilistic grammar to characterize modality-independent representations of object shape, uses a computer graphics toolkit and a human hand simulator to map from object representations to visual and haptic features, respectively, and uses a Bayesian inference algorithm to infer modality-independent object representations from visual and/or haptic signals. Simulation results show that the model infers identical object representations when an object is viewed, grasped, or both. That is, the model’s percepts are modality invariant. We also report the results of an experiment in which different subjects rated the similarity of pairs of objects in different sensory conditions, and show that the model provides a very accurate account of subjects’ ratings. Conceptually, this research significantly contributes to our understanding of modality invariance, an important type of perceptual constancy, by demonstrating how modality-independent representations can be acquired and used. Methodologically, it provides an important contribution to cognitive modeling, particularly an emerging probabilistic language-of-thought approach, by showing how symbolic and statistical approaches can be combined in order to understand aspects of human perception.     

Time dependent influence of etonogestrel on the caspase-3 immunoreactivity and apoptotic indexes of rat uterus and ovaries

Apoptosis is necessary for the balance between cell proliferation and loss. Thirty-six Wistar-Albino rats were subjected to investigate apoptotic effect of widely used implantable progestins on ovarian and uterine tissues. Rats were divided into 6 groups. In the first five groups, we applied etonogestrel (IMP) subcutaneous implants (n = 30). The rats in groups were sacrificed sequentially every 10 days after application. The rats in the last group (n = 6) were accepted as controls. Apoptotic index (AI) values and Caspase-3 immunoreactivities of ovaries and uterus were recorded. In IMP groups, AI and Hscore values in stroma and glandular epithelium of uterus, granulosa and teca-lutein cells of the ovary increased with the longer progesterone exposure. Increase in AI and Hscore values were more prominent after 30 days of exposure for teca-lutein cells of ovary. Progestins increased apoptosis in ovaries and uterus by the longer exposure. Apoptosis increased in ovaries by chronic progesterone exposure. The apoptotic effect of progestin on endometrium is clear but long-term systemic application may lead to alterations in ovarian physiology. We evaluated time dependent apoptotic effect of etonogestrel on reproductive physiology and discussed progestins effect from another point of view in this study.     

Hyberbaric oxygen increases atresia in normal &; steroid induced PCO rat ovaries

Background  

In this study, we investigated the effect of hyperbaric oxygen therapy (HBOT) on the morphology of estradiol valerate (EV) induced polycystic ovary (PCO) to find a new treatment modality for improvement of PCO.     

Sonic hedgehog signaling is associated with resistance to zoledronic acid in CD133high/CD44high prostate cancer stem cells

Molecular Biology Reports - Cancer stem cells (CSCs) are a unique population that has been linked to drug resistance and metastasis and recurrence of prostate cancer. The sonic hedgehog (SHH)...