Emergent behaviour and neural dynamics in artificial agents tracking odour plumes.

Tracking an odour plume to locate its source under variable wind and plume statistics is a complex task. Flying insects routinely accomplish such tracking, often over long distances, in pursuit of food or mates. Several aspects of this remarkable behaviour and its underlying neural circuitry have been studied experimentally.

Clinical Assessment of SDF Effect in Arresting Dental Caries in Deciduous Teeth.

Objectives: Current research was done to evaluate the effectiveness of 38% silver diamine fluoride (SDF) on carious lesions in deciduous teeth.

Materials And Method: The study included kids who had at least one carious lesion in accordance to the International Caries Detection and Assessment System II. A 38% SDF (FAgamin, Tedequim Company, Córdoba, Argentina) solution was applied directly to the lesion on the deciduous teeth as per the manufacturer's instructions.

AJILE12: Long-term naturalistic human intracranial neural recordings and pose.

Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states.

Behavioral and Neural Variability of Naturalistic Arm Movements.

Motor behaviors are central to many functions and dysfunctions of the brain, and understanding their neural basis has consequently been a major focus in neuroscience. However, most studies of motor behaviors have been restricted to artificial, repetitive paradigms, far removed from natural movements performed "in the wild." Here, we leveraged recent advances in machine learning and computer vision to analyze intracranial recordings from 12 human subjects during thousands of spontaneous, unstructured arm reach movements, observed over several days for each subject.

Mining naturalistic human behaviors in long-term video and neural recordings.

Background: Recent technological advances in brain recording and machine learning algorithms are enabling the study of neural activity underlying spontaneous human behaviors, beyond the confines of cued, repeated trials. However, analyzing such unstructured data lacking a priori experimental design remains a significant challenge, especially when the data is multi-modal and long-term.

New Method: Here we describe an automated, behavior-first approach for analyzing simultaneously recorded long-term, naturalistic electrocorticography (ECoG) and behavior video data.

Childhood sexual abuse perceptions and experience among college students of Panchkula.

Background And Objective: Child sexual abuse (CSA) is a global public health and human rights concern. Hence, the present study was conducted to assess childhood sexual abuse perception and experience among college students of Panchkula.

Methodology: A self-administered anonymous questionnaire which assessed perception and experiences of childhood sexual abuse was given to a convenient sample of 1000 college students.