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Adaptive models capture complexity of the brain and behavior

Scientists parse animal behavior into digestible chunks using an adaptive model, spotting subtleties that would have otherwise been missed. The study found that complex dynamics can be broken down into simple linear patterns, allowing for the quantification of brain states and movement behaviors in various organisms.

SourceOkinawa Institute of Science and Technology (OIST) Graduate University·JournalProceedings of the National Academy of Sciences·DateJan 31, 2019

Eyes are faster than hands

A new machine learning-based intention detection method predicts grasping/releasing intentions based on user behaviors, enabling SCI patients to pick-and-place objects. The method utilizes a first-person-view camera and is advantageous in detecting user intentions without requiring person-to-person calibrations.

SourceSeoul National University·JournalScience Robotics·DateJan 30, 2019

Electric fish in augmented reality reveal how animals 'actively sense' world around them

Researchers used augmented reality to investigate the link between active sensing movement and sensory feedback in weakly electric fish. The study found that subtle active sensing movements are controlled by sensory feedback, enhancing sensory information reception. This discovery may have implications for neuroscience and robotics.

SourceNew Jersey Institute of Technology·JournalCurrent Biology·DateDec 21, 2018

Learning from mistakes

A Caltech-led team of researchers has identified individual neurons that monitor our behavior, catching errors and correcting them quickly. The study provides rare recordings of these neurons, which are involved in error monitoring and have implications for psychiatric diseases like obsessive-compulsive disorder.

Don't sweat the sweet stuff

The study found that sweet and bitter tastes were quickly detected but took longer to be identified, while salty and sour tastes were vice versa. The researchers also discovered that participants' ratings of pleasantness influenced processing speed for sweet and bitter tastes.

SourceSociety for Neuroscience·JournaleNeuro·DateOct 15, 2018

Sniffing out error in detection dog data

A new study confirms that three viable explanations exist for detection dogs collecting non-target scat, including natural behaviors of non-target species altering the genetic profile of target scat. This finding has important implications for conservation projects using scat-detection dogs to track animal populations.

SourceWashington University in St. Louis·JournalScientific Reports·DateSep 14, 2018

Why are young adults wasting so much food? Study looks at perceptions and food behaviors

A study found that young adults, particularly college students, are high food wasters due to a lack of learned food management behaviors. The study's findings suggest that environmental factors, such as access to refrigerators and cooking facilities, also play a role in their behavior.

Empathetic dogs lend a helping paw

Research shows that dogs that remain calm and exhibit empathy during their owner's distress help out faster. Therapy dogs performed as well as other dogs in opening doors, highlighting the importance of traits like obedience over human-animal bonding.

SourceSpringer·JournalLearning & Behavior·DateJul 24, 2018

New study in electric fish reveals brain mechanisms for distinguishing self from other

Researchers at Columbia University identified neural-circuit activity in electric fish that enables the brain to tune out self-generated signals, allowing animals to focus on external stimuli. This mechanism may inform studies of sensory disorders like tinnitus, which disrupts the brain's ability to cancel out self-generated sounds.