Adding noise can reduce response biases in addition to improving perceptual performance.

"Stochastic resonance" (SR) is a phenomenon whereby adding an "optimal" amount of noise can perceptual capabilities. Although this performance enhancement is important, in many tasks we also want to reduce biases, such as the tendency to respond "absent" to an infrequent stimulus. To address this, we designed a perceptual task where we presented six possible letters ("C,""B,""H," "O,""E," and "U") at threshold levels.

Integrating Virtual Reality, Neurofeedback, and Cognitive Behavioral Therapy for Auditory Verbal Hallucinations (Hybrid): Protocol of a Pilot, Unblinded, Single-Arm Interventional Study.

Background: Current treatments for schizophrenia and other psychotic disorders have limited efficacy, with high rates of nonresponse to "gold standard" treatments. New approaches are therefore urgently required.

Objective: The aims of this pilot study are to investigate the feasibility, acceptability, safety, and usability of Hybrid treatment (primary aim); and to explore Hybrid's treatment efficacy and engagement of treatment targets (secondary aim).

High neural noise in autism: A hypothesis currently at the nexus of explanatory power.

Autism is a neurodevelopmental difference associated with specific autistic experiences and characteristics. Early models such as Weak Central Coherence and Enhanced Perceptual Functioning have tried to capture complex autistic behaviours in a single framework, however, these models lacked a neurobiological explanation. Conversely, current neurobiological theories of autism at the cellular and network levels suggest excitation/inhibition imbalances lead to high neural noise (or, a 'noisy brain') but lack a thorough explanation of how autistic behaviours occur.

Feedforward connectivity patterns from visual areas to the front of the brain contain information about sensory stimuli regardless of awareness or report.

Current theories of consciousness can be categorized to some extent by their predictions about the putative role of the prefrontal cortex (PFC) in conscious perception. One family of the theories proposes that the PFC is necessary for conscious perception. The other postulates that the PFC is not necessary and that other areas (e.

Evidence for adaptive myelination of subcortical shortcuts for visual motion perception in healthy adults.

Conscious visual motion information follows a cortical pathway from the retina to the lateral geniculate nucleus (LGN) and on to the primary visual cortex (V1) before arriving at the middle temporal visual area (MT/V5). Alternative subcortical pathways that bypass V1 are thought to convey unconscious visual information. One flows from the retina to the pulvinar (PUL) and on to medial temporal visual area (MT); while the other directly connects the LGN to MT.

Anxiety attenuates learning advantages conferred by statistical stability and induces loss of volatility-attuning in brain activity.

Anxiety can alter an individual's perception of their external sensory environment. Previous studies suggest that anxiety can increase the magnitude of neural responses to unexpected (or surprising) stimuli. Additionally, surprise responses are reported to be boosted during stable compared to volatile environments.

Detecting (Un)seen Change: The Neural Underpinnings of (Un)conscious Prediction Errors.

Detecting changes in the environment is fundamental for our survival. According to predictive coding theory, detecting these irregularities relies both on incoming sensory information and our top-down prior expectations (or internal generative models) about the world. Prediction errors (PEs), detectable in event-related potentials (ERPs), occur when there is a mismatch between the sensory input and our internal model (i.

The Culture of Biosafety, Biosecurity, and Responsible Conduct in the Life Sciences: A Comprehensive Literature Review.

Introduction: Managing biological risks requires an organizational culture that holistically ensures the biosafety, biosecurity, and biocontainment of infectious disease agents and toxins, in addition to conducting science in a responsible manner, complying with relevant laws, regulations, guidelines, and policies, as well as emphasizing norms, values, and beliefs of the entire life sciences profession.

Methods: Drawing upon the Federal Experts Security Advisory Panel's (FESAP's) 2014 recommendation to "strengthen a culture that emphasizes biosafety, laboratory biosecurity, and responsible conduct in the life sciences," we undertook a comprehensive literature review of the culture of biosafety, biosecurity, and responsible conduct in the life sciences, including metrics by which to evaluate interventions at the organizational level.

Results: We identified 4031 unique citations published from January 2001 to January 2017 by searching the MEDLINE/PubMed, Scopus, Web of Science, and Global Health databases.

Bayesian Model Selection Maps for Group Studies Using M/EEG Data.

Predictive coding postulates that we make (top-down) predictions about the world and that we continuously compare incoming (bottom-up) sensory information with these predictions, in order to update our models and perception so as to better reflect reality. That is, our so-called "Bayesian brains" continuously create and update generative models of the world, inferring (hidden) causes from (sensory) consequences. Neuroimaging datasets enable the detailed investigation of such modeling and updating processes, and these datasets can themselves be analyzed with Bayesian approaches.

Bayesian Mapping Reveals That Attention Boosts Neural Responses to Predicted and Unpredicted Stimuli.

Predictive coding posits that the human brain continually monitors the environment for regularities and detects inconsistencies. It is unclear, however, what effect attention has on expectation processes, as there have been relatively few studies and the results of these have yielded contradictory findings. Here, we employed Bayesian model comparison to adjudicate between 2 alternative computational models.

Large Capacity of Conscious Access for Incidental Memories in Natural Scenes.

When searching a crowd, people can detect a target face only by direct fixation and attention. Once the target is found, it is consciously experienced and remembered, but what is the perceptual fate of the fixated nontarget faces? Whereas introspection suggests that one may remember nontargets, previous studies have proposed that almost no memory should be retained. Using a gaze-contingent paradigm, we asked subjects to visually search for a target face within a crowded natural scene and then tested their memory for nontarget faces, as well as their confidence in those memories.

Surprise responses in the human brain demonstrate statistical learning under high concurrent cognitive demand.

The ability to learn about regularities in the environment and to make predictions about future events is fundamental for adaptive behaviour. We have previously shown that people can implicitly encode statistical regularities and detect violations therein, as reflected in neuronal responses to unpredictable events that carry a unique prediction error signature. In the real world, however, learning about regularities will often occur in the context of competing cognitive demands.

Rapid Adaptation Induces Persistent Biases in Population Codes for Visual Motion.

Unlabelled: Each visual experience changes the neural response to subsequent stimuli. If the brain is unable to incorporate these encoding changes, the decoding, or perception, of subsequent stimuli is biased. Although the phenomenon of adaptation pervades the nervous system, its effects have been studied mainly in isolation, based on neuronal encoding changes induced by an isolated, prolonged stimulus.