Low-level Information Processing Research Articles

The two kinds of free energy and the Bayesian revolution.

The concept of free energy has its origins in 19th century thermodynamics, but has recently found its way into the behavioral and neural sciences, where it has been promoted for its wide applicability and has even been suggested as a fundamental principle of understanding intelligent behavior and brain function. We argue that there are essentially two different notions of free energy in current models of intelligent agency, that can both be considered as applications of Bayesian inference to the problem of action selection: one that appears when trading off accuracy and uncertainty based on a general maximum entropy principle, and one that formulates action selection in terms of minimizing an error measure that quantifies deviations of beliefs and policies from given reference models. The first approach provides a normative rule for action selection in the face of model uncertainty or when information processing capabilities are limited. The second approach directly aims to formulate the action selection problem as an inference problem in the context of Bayesian brain theories, also known as Active Inference in the literature. We elucidate the main ideas and discuss critical technical and conceptual issues revolving around these two notions of free energy that both claim to apply at all levels of decision-making, from the high-level deliberation of reasoning down to the low-level information processing of perception.

Intelligent approaches for security technologies

Intelligent approaches for security technologies

Spontaneous eyeblinks during breaking continuous flash suppression are associated with increased detection times.

An eyeblink has a clear effect on low-level information processing because it temporarily occludes all visual information. Recent evidence suggests that eyeblinks can also modulate higher level processes (e.g., attentional resources), and vice versa. Despite these putative effects on different levels of information processing, eyeblinks are typically neglected in vision and in consciousness research. The main aim of this study was to investigate the timing and the effect of eyeblinks in an increasingly popular paradigm in consciousness research, namely breaking continuous flash suppression (b-CFS). Results show that participants generally refrain from blinking during a trial, that is, when they need to detect a suppressed stimulus. However, when they do blink during a trial, we observed a sharp increase in suppression time. This suggests that one needs to control for blinking when comparing detection times between conditions that could elicit phasic changes in blinking.

Influence of using challenging tasks in biology classrooms on students’ cognitive knowledge structure: an empirical video study

ABSTRACTEmpirical analysis of secondary biology classrooms revealed that, on average, 68% of teaching time in Germany revolved around processing tasks. Quality of instruction can thus be assessed by analyzing the quality of tasks used in classroom discourse. This quasi-experimental study analyzed how teachers used tasks in 38 videotaped biology lessons pertaining to the topic ‘blood and circulatory system’. Two fundamental characteristics used to analyze tasks include: (1) required cognitive level of processing (e.g. low level information processing: repetiition, summary, define, classify and high level information processing: interpret-analyze data, formulate hypothesis, etc.) and (2) complexity of task content (e.g. if tasks require use of factual, linking or concept level content). Additionally, students’ cognitive knowledge structure about the topic ‘blood and circulatory system’ was measured using student-drawn concept maps (N = 970 students). Finally, linear multilevel models were created with high-level cognitive processing tasks and higher content complexity tasks as class-level predictors and students’ prior knowledge, students’ interest in biology, and students’ interest in biology activities as control covariates. Results showed a positive influence of high-level cognitive processing tasks (β = 0.07; p < .01) on students’ cognitive knowledge structure. However, there was no observed effect of higher content complexity tasks on students’ cognitive knowledge structure. Presented findings encourage the use of high-level cognitive processing tasks in biology instruction.

Fast, high-fidelity, all-optical and dynamically-controlled polarization gate using room-temperature atomic vapor

We demonstrate a fast, all-optical polarization gate in a room-temperature atomic medium. Using a Polarization-Selective-Kerr-Phase-Shift (PSKPS) technique, we selectively write a π phase shift to one circularly-polarized component of a linearly-polarized input signal field. The output signal field maintains its original strength but acquires a 90° linear polarization rotation, demonstrating fast, high-fidelity, dynamically-controlled polarization gate operation. The intensity of the polarization-switching field used in this PKSPK-based polarization gate operation is only 2 mW/cm2, which would be equivalent to 0.5 nW of light power (λ = 800 nm) confined in a typical commercial photonic hollow-core fiber. This development opens a realm of possibilities for potential future extremely low light level telecommunication and information processing systems.

A scare in the OR highlights value of systems engineering.

A scare in the OR highlights value of systems engineering.

Reward Prediction Error Signals are Meta-Representational.

Reward Prediction Error Signals are Meta-Representational.

Het fragiele-X-syndroom: cognitieve vaardigheden en onderliggende problemen in de informatieverwerking

Fragile X syndrome (FXS) is a neurodevelopmental disorder caused by a singlegene mutation, and is associated with a mild-to-moderate intellectual disability in males. Due to the well-defined neurobiological origin, FXS is frequently used as a model to study the effects of genetic abnormalities on cognitive development and behavior. A central question in this line of research is why some cognitive functions are more affected than others. To date, most studies have focused on the characterization of the higher-level cognitive processes, whereas the perceptual characteristics of information processing in the brain remain understudied. Importantly, these lower-level information processing characteristics can further our understanding of those neurobiological processes that go astray in FXS. Additionally, these investigations will reveal important information on the quality of cognitive information processing in neurodevelopmental disorders, and demonstrate that cognitive functioning in neurodevelopmental disorders cannot solely be interpreted in terms of intact vs. spared cognitive functions.

To wake or not to wake? The two-sided nature of the human K-complex

Sleep fosters performance but likewise renders creatures insensitive to environmental threat. The brain balances between sleep promotion and protection during light sleep. One associated electrophysiological hallmark is the K-complex (KC), the sleep promoting versus arousal inducing role of which is under debate. We examined 37 subjects using EEG-combined fMRI and found KC-associated positive BOLD signal changes in subcortical (brainstem, thalamus), sensory and motor, midline and regions which form part of the default mode network, and negative changes in the anterior insula. Connectivity analysis revealed the primary auditory cortex as the first region to be influenced during the KC and that midline regions activated successively from front to back in association with the sleep protecting part of the KC. Our findings support thalamic involvement in KC mediation and an association of KCs with subcortical arousal mechanisms: activations in sensory areas suggest the existence of low level information processing during KC limited by anterior insula disengagement suggesting a two-sided nature of the KC: it embodies an arousal with subsequent sleep-guarding counteraction that might on the one hand serve periodical monitoring of the environment with basic information processing and on the other hand protect the continuity of sleep and thus its restoring effect.

Perception of causality in schizophrenia spectrum disorder.

Patients with schizophrenia spectrum disorders often maintain deviating views on cause-effect relationships, especially when positive and disorganization symptoms are manifest. Altered perceived causality is prominent in delusional ideation, in ideas of reference, and in the mentalizing ability (theory of mind [ToM]) of patients. Perceiving causal relationships may be understood either as higher order cognitive reasoning or as low-level information processing. In the present study, perception of causality was investigated as a low-level, preattentional capability similar to gestalt-like perceptual organization. Thirty-one patients (24 men and 7 women with mean age 27.7 years) and the same number of healthy control subjects matched to patients with respect to age and sex were tested. A visual paradigm was used in which 2 identical discs move, from opposite sides of a monitor, steadily toward and then past one another. Their coincidence generates an ambiguous, bistable percept (discs either "stream through" or "bounce off" one another). The bouncing perception, ie, perceived causality, is enhanced when auditory stimuli are presented at the time of coincidence. Psychopathology was measured using the Positive and Negative Syndrome Scale. It was found that positive symptoms were strongly associated with increased perceived causality and disorganization with attenuated perceived causality. Patients in general were not significantly different from controls, but symptom subgroups showed specifically altered perceived causality. Perceived causality as a basic preattentional process may contribute to higher order cognitive alterations and ToM deficiencies. It is suggested that cognitive remediation therapy should address both increased and reduced perception of causality.

Enhanced Perceptual Functioning in Autism: An Update, and Eight Principles of Autistic Perception

We propose an "Enhanced Perceptual Functioning" model encompassing the main differences between autistic and non-autistic social and non-social perceptual processing: locally oriented visual and auditory perception, enhanced low-level discrimination, use of a more posterior network in "complex" visual tasks, enhanced perception of first order static stimuli, diminished perception of complex movement, autonomy of low-level information processing toward higher-order operations, and differential relation between perception and general intelligence. Increased perceptual expertise may be implicated in the choice of special ability in savant autistics, and in the variability of apparent presentations within PDD (autism with and without typical speech, Asperger syndrome) in non-savant autistics. The overfunctioning of brain regions typically involved in primary perceptual functions may explain the autistic perceptual endophenotype.

Enhanced and diminished visuo-spatial information processing in autism depends on stimulus complexity

Visuo-perceptual processing in autism is characterized by intact or enhanced performance on static spatial tasks and inferior performance on dynamic tasks, suggesting a deficit of dorsal visual stream processing in autism. However, previous findings by Bertone et al. indicate that neuro-integrative mechanisms used to detect complex motion, rather than motion perception per se, may be impaired in autism. We present here the first demonstration of concurrent enhanced and decreased performance in autism on the same visuo-spatial static task, wherein the only factor dichotomizing performance was the neural complexity required to discriminate grating orientation. The ability of persons with autism was found to be superior for identifying the orientation of simple, luminance-defined (or first-order) gratings but inferior for complex, texture-defined (or second-order) gratings. Using a flicker contrast sensitivity task, we demonstrated that this finding is probably not due to abnormal information processing at a sub-cortical level (magnocellular and parvocellular functioning). Together, these findings are interpreted as a clear indication of altered low-level perceptual information processing in autism, and confirm that the deficits and assets observed in autistic visual perception are contingent on the complexity of the neural network required to process a given type of visual stimulus. We suggest that atypical neural connectivity, resulting in enhanced lateral inhibition, may account for both enhanced and decreased low-level information processing in autism.

Neurodevelopmental characteristics of children with learning impairments classified according to the double-deficit hypothesis.

The double-deficit model has been examined primarily in relation to reading. We investigated whether children classified according to the double-deficit model would exhibit differences in other neuropsychological domains. Children referred for learning problems (N = 188), ages 7 to 11, were classified by double-deficit subtype. Only three of the four groups predicted by the model could be identified. There were no group differences in IQ or attention problems. The three groups showed different neuropsychological profiles, involving functional domains other than reading and language. Differences also emerged in nonverbal low-level information processing. The double-deficit group was generally most severely affected. The double-deficit groupings identify children with different neuropsychological profiles and variation in the efficiency of basic online information processing, extending beyond the oral and written language domain.

Attention Deficit Disorder: A Neuropsychoanalytic Sketch

A neuropsychoanalytic sketch of attention deficit disorder (ADD) is presented. The syndrome is defined in terms of its core symptoms, and discussed from the perspective of etiology, pathogenesis, diagnosis, differential diagnosis, and treatment. Also unique is the effort to describe the patient's inner experiences and begin to map these onto the external perspective of what is happening psychologically and neurologically, that is, inside the patient's brain (chemically, anatomically, and neurophysiologically). A number of speculations are thus created regarding the role of the executive control network (ECN), particularly, that of the basal ganglia, cerebellum, anterior cingulate, and those parts of the ECN that are responsible for such things as cognitive shifting between low-level routine information processing modes and those used for high-level processing applicable for sensitive or complex analysis. The effects of trauma on the tagging of memories are also considered. In this manner the research of Shevrin et al., Posner and Raichle, Gedo, Levin, and a number of others integrating mind and brain is brought to bear on an illness with known cognitive and personality disordering. This paper complements a companion paper on the subject of learning disability (Orenstein and Levin, in press).

Neural model-based approach to image enhancement

The human retina adaptively processes visual data even if the environmental or imaging conditions are far below ideal. The unique ability of eyes to adapt to poor light and environmental conditions for processing of low-level information is important for edge detection and recognition. This is accomplished through different responses of photoreceptors and adaptive center-surround responses of cells organized in four major layers. We present a structured neural network for image and edge enhancement that is derived from the model of biologcal understanding of retinal layers. The image is described by a set of interconnected neurons with their values equal to the gray-level values of corresponding pixels. The first-order and second-order contrast links are defined among the neurons, which are analyzed for changes in their values in the adaptive constrained environment. Each selected neuron is analyzed only once per iteration in which its value may be readjusted by incrementing or decrementing the current value. As a result, at the end of each iteration, the image data are reorganized for better contrast and image features. We present the structure and algorithm of the proposed neural network with various experimental results showing the capability of such a network to enhance the gray-level images. The method presented is suitable for computerized digital processing of gray-level images for enhancement.