Risk-Sensitivity in Bayesian Sensorimotor Integration

Information processing in the nervous system during sensorimotor tasks with inherent uncertainty has been shown to be consistent with Bayesian integration. Bayes optimal decision-makers are, however, risk-neutral in the sense that they weigh all possibilities based on prior expectation and sensory evidence when they choose the action with highest expected value. In contrast, risk-sensitive decision-makers are sensitive to model uncertainty and bias their decision-making processes when they do inference over unobserved variables. In particular, they allow deviations from their probabilistic model in cases where this model makes imprecise predictions. Here we test for risk-sensitivity in a sensorimotor integration task where subjects exhibit Bayesian information integration when they infer the position of a target from noisy sensory feedback. When introducing a cost associated with subjects’ response, we found that subjects exhibited a characteristic bias towards low cost responses when their uncertainty was high. This result is in accordance with risk-sensitive decision-making processes that allow for deviations from Bayes optimal decision-making in the face of uncertainty. Our results suggest that both Bayesian integration and risk-sensitivity are important factors to understand sensorimotor integration in a quantitative fashion.

When Your Eyes Tell Your Hands What to Think: You’re Far Less in Control of Your Brain Than You Think

You’ve probably never given much thought to the fact that picking up your cup of morning coffee presents your brain with a set of complex decisions. You need to decide how to aim your hand, grasp the handle and raise the cup to your mouth, all without spilling the contents on your lap.

A new Northwestern University study shows that, not only does your brain handle such complex decisions for you, it also hides information from you about how those decisions are made.

"Our study gives a salient example," said Yangqing ‘Lucie’ Xu, lead author of the study and a doctoral candidate in psychology at Northwestern. "When you pick up an object, your brain automatically decides how to control your muscles based on what your eyes provide about the object’s shape. When you pick up a mug by the handle with your right hand, you need to add a clockwise twist to your grip to compensate for the extra weight that you see on the left side of the mug.

"We showed that the use of this visual information is so powerful and automatic that we cannot turn it off. When people see an object weighted in one direction, they actually can’t help but ‘feel’ the weight in that direction, even when they know that we’re tricking them," Xu said.

The Marketplace in Your Brain: Neuroscientists have found brain cells that compute value. Why are economists ignoring them?

In 2003, amid the coastal greenery of the Winnetu Oceanside Resort, on Martha’s Vineyard, a group of about 20 scholars gathered to kick-start a new discipline. They fell, broadly, into two groups: neuroscientists and economists. What they came to talk about was a collaboration between the two fields, which a few researchers had started to call “neuroeconomics.” Insights about brain anatomy, combined with economic models of neurons in action, could produce new insights into how people make decisions about money and life.

A photo taken during one of those sun-dappled days captures the group posed and smiling around a giant chess set on the resort lawn. Pawns were about two feet tall, kings and queens about four feet. Informally, the neuroscientists began to play the black pieces. The economists began to play white.

Today, nearly a decade later, a few black pawns have moved down the board. But the white pieces have stayed put. “I would say that neuroeconomics is about 90 percent neuroscience and 10 percent economists,” says Colin F. Camerer, a professor of behavioral finance and economics at the California Institute of Technology and one of the prime movers in the new field. “We’ve taken a lot of mathematical models from economics to help describe what we see happening in the brain. But economists have been a lot slower to use any of our ideas.”

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Robots paint hotel guests’ sleep patterns

Global hotel chain Ibis is transforming the nightly tosses and turns of its guests into works of modern art, painted by robots.

"Our masterpiece is to make your sleep a true work of art," the promotional video gushes, after putting a far more interesting point to viewers: "What does sleep look like?" To find out, the budget chain is installing thin grids covered in 80 heat, pressure and sound sensors on mattresses in select guestrooms, kicking off on 13 October in Paris. Data gathered by the sensors will be fed wirelessly throughout the night to the studio, where it is then fed through an algorithm that converts information on a guest’s movement, sound and temperature into colour and movement.

This video shows the robot, much like an assembly line arm, reacting in sequence, tracing acrylic paints onto a black canvas in a visual and physical interpretation of sleep cycles and patterns.

Only 40 participants can take part — anyone who wants to try it out can enter a competition on the Ibis Facebook page. When the project is wrapped up in Novemeber there will be an online gallery of the artworks and guests will get an original to take home.

New research published in Psychological Science, a journal of the Association for Psychological Science, examines the nuanced relationship between language and different types of perception.

Bilingual Infants Can Tell Unfamiliar Languages Apart

Speaking more than one language can improve our ability to control our behavior and focus our attention, recent research has shown. But are there any advantages for bilingual children before they can speak in full sentences? We know that bilingual children can tell if a person is speaking one of their native languages or the other, even when there is no sound, by watching the speaker’s mouth for visual cues. But Núria Sebastián-Gallés of Universitat Pompeu Fabra and colleagues wanted to know whether bilingual infants could also do this with two unfamiliar languages. They studied 8-month-old infants, half of whom lived in either Spanish- or Catalan-speaking households and half of whom lived in Spanish-Catalan bilingual households. The researchers looked at whether the infants could discriminate between English and French, two unfamiliar languages, using only visual cues. They found that the bilingual infants could tell the difference between the two languages, while the infants who lived in single-language households could not. These findings suggest that infants who are immersed in bilingual environments are more sensitive to the differences in visual cues associated with the sounds of various languages.

Lead author: Núria Sebastián-Gallés

Skilled Deaf Readers Have an Enhanced Perceptual Span in Reading

Though people born deaf are better able to use information from peripheral vision than those who can hear, they have a harder time learning to read. Researchers have proposed that the extra information coming in could distract from, rather than enhance, the process of reading. But no research has actually compared visual attention in reading between hearing and deaf readers.  In a new study, Nathalie Bélanger of the University of California, San Diego and colleagues investigated this issue by measuring the perceptual span, or the number of letter spaces used when reading, of skilled deaf readers, less-skilled deaf readers, and hearing readers. The experimenters manipulated the number of letter spaces that the participants saw while reading text on a screen. They found that, compared to the other two groups, skilled deaf readers read fastest when they were given the largest number of letter spaces, showing that they had the largest perceptual span. Regardless, they were able to read just as fast as skilled hearing readers. Contrary to previous hypotheses, these findings suggest that enhanced visual attention and perceptual span are not the cause of reading difficulties common among deaf individuals.

Lead author: Nathalie N. Bélanger

Detection of Appearing and Disappearing Objects in Complex Acoustic Scenes

The ability to detect sudden changes in the environment is critical for survival. Hearing is hypothesized to play a major role in this process by serving as an “early warning device,” rapidly directing attention to new events. Here, we investigate listeners’ sensitivity to changes in complex acoustic scenes—what makes certain events “pop-out” and grab attention while others remain unnoticed? We use artificial “scenes” populated by multiple pure-tone components, each with a unique frequency and amplitude modulation rate. Importantly, these scenes lack semantic attributes, which may have confounded previous studies, thus allowing us to probe low-level processes involved in auditory change perception. Our results reveal a striking difference between “appear” and “disappear” events. Listeners are remarkably tuned to object appearance: change detection and identification performance are at ceiling; response times are short, with little effect of scene-size, suggesting a pop-out process. In contrast, listeners have difficulty detecting disappearing objects, even in small scenes: performance rapidly deteriorates with growing scene-size; response times are slow, and even when change is detected, the changed component is rarely successfully identified. We also measured change detection performance when a noise or silent gap was inserted at the time of change or when the scene was interrupted by a distractor that occurred at the time of change but did not mask any scene elements. Gaps adversely affected the processing of item appearance but not disappearance. However, distractors reduced both appearance and disappearance detection. Together, our results suggest a role for neural adaptation and sensitivity to transients in the process of auditory change detection, similar to what has been demonstrated for visual change detection. Importantly, listeners consistently performed better for item addition (relative to deletion) across all scene interruptions used, suggesting a robust perceptual representation of item appearance.

New research methods reveal that babies and young children learn by rationally testing hypotheses, analyzing statistics and doing experiments much as scientists do

Very young children’s learning and thinking is strikingly similar to much learning and thinking in science, according to Alison Gopnik, professor of psychology and affiliate professor of philosophy at the University of California, Berkeley. Gopnik’s findings are described in the Sept 28 issue of the journal Science. She spoke about her work in a video briefing with NSF.

Chocolate makes snails smarter

University of Calgary undergraduate Lee Fruson became curious about how dietary factors might affect memory, Ken Lukowiak was sceptical. ‘I didn’t think any of this stuff would work’, Lukowiak recalls. Despite his misgivings, Lukowiak and Fruson decided to concentrate on a group of compounds – the flavinoids – found in a wide range of ‘superfoods’ including chocolate and green tea, focusing on one particular flavonoid, (-)epicatechin (epi). However, figuring out how a single component of chocolate might improve human memory is almost impossible – too many external factors influence memory formation – so Lukowiak turned to his favourite animal, the pond snail Lymnaea stagnalis, to find out whether the dark chocolate flavonoid could improve their memories.

Parkinson’s could be detected by telephone call

A simple telephone call could help spot the early signs of Parkinson’s disease by tracking subtle changes in patients’ voices years before more severe symptoms emerge, researchers claim.

New technology being developed in America analyses tremors, breathiness and other weaknesses in people’s voices which are believed to be one of the condition’s earliest symptoms.

Experts at the Massachusetts Institute of Technology claim that their computer programme can pick out Parkinson’s sufferers with 99 per cent accuracy simply by analysing their speech.

Dr Max Little, a British researcher who is leading the initiative at MIT, now hopes to determine whether the same results could be produced from a patient speaking over the telephone.

By recruiting Parkinson’s patients and health volunteers to take part in a three-minute telephone call where they will say “ah”, speak some sentences and answer a few questions, he said the system could be programmed to diagnose people remotely, allowing earlier treatment.