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Computational neurobiology

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https://www.readbyqxmd.com/read/28324757/perceptual-category-learning-and-visual-processing-an-exercise-in-computational-cognitive-neuroscience
#1
George Cantwell, Maximilian Riesenhuber, Jessica L Roeder, F Gregory Ashby
The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning...
March 6, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28318539/a-revival-of-the-homo-loquens-as-a-builder-of-labeled-structures-neurocognitive-considerations
#2
REVIEW
T Goucha, E Zaccarella, A D Friederici
The core capacity of human language is described as the faculty to combine words into hierarchical structures. This review aims to isolate the fundamental computation behind the language faculty together with its neural implementation. First, we present our central hypothesis by confronting recent linguistic theory with evolutionary arguments: linguistic humaniqueness is reflected in the labeling of word combinations forming asymmetric hierarchical structures. Second, we review the neurolinguistic literature, especially focusing on dual-stream connectivity models...
March 16, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28291690/social-cognitive-brain-function-and-connectivity-during-visual-perspective-taking-in-autism-and-schizophrenia
#3
Shaun M Eack, Jessica A Wojtalik, Matcheri S Keshavan, Nancy J Minshew
BACKGROUND: Autism spectrum disorder (ASD) and schizophrenia are neurodevelopmental conditions that are characterized by significant social impairment. Emerging genomic and neurobiological evidence has increasingly pointed to shared pathophysiologic mechanisms in the two disorders. Overlap in social impairment may reflect similar underlying neural dysfunction in social-cognitive brain networks, yet few studies have directly compared brain function and communication between those with ASD and schizophrenia...
March 10, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28275544/polygenic-risk-for-five-psychiatric-disorders-and-cross-disorder-and-disorder-specific-neural-connectivity-in-two-independent-populations
#4
Tianqi Wang, Xiaolong Zhang, Ang Li, Meifang Zhu, Shu Liu, Wen Qin, Jin Li, Chunshui Yu, Tianzi Jiang, Bing Liu
Major psychiatric disorders, including attention deficit hyperactivity disorder (ADHD), autism (AUT), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SZ), are highly heritable and polygenic. Evidence suggests that these five disorders have both shared and distinct genetic risks and neural connectivity abnormalities. To measure aggregate genetic risks, the polygenic risk score (PGRS) was computed. Two independent general populations (N = 360 and N = 323) were separately examined to investigate whether the cross-disorder PGRS and PGRS for a specific disorder were associated with individual variability in functional connectivity...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28253256/a-mechanism-for-the-cortical-computation-of-hierarchical-linguistic-structure
#5
Andrea E Martin, Leonidas A A Doumas
Biological systems often detect species-specific signals in the environment. In humans, speech and language are species-specific signals of fundamental biological importance. To detect the linguistic signal, human brains must form hierarchical representations from a sequence of perceptual inputs distributed in time. What mechanism underlies this ability? One hypothesis is that the brain repurposed an available neurobiological mechanism when hierarchical linguistic representation became an efficient solution to a computational problem posed to the organism...
March 2017: PLoS Biology
https://www.readbyqxmd.com/read/28251871/bio-physically-plausible-visualization-of-highly-scattering-fluorescent-neocortical-models-for-in-silico-experimentation
#6
Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Julian Shillcock, Henry Markram, Felix Schürmann
BACKGROUND: We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology community. It allows the scientists to visualize the results of their virtual experiments that are performed in computer simulations, or in silico. The impact of the presented pipeline opens novel avenues for assisting the neuroscientists to build biologically accurate models of the brain...
February 15, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28242727/models-of-inhibitory-control
#7
REVIEW
Jeffrey D Schall, Thomas J Palmeri, Gordon D Logan
We survey models of response inhibition having different degrees of mathematical, computational and neurobiological specificity and generality. The independent race model accounts for performance of the stop-signal or countermanding task in terms of a race between GO and STOP processes with stochastic finishing times. This model affords insights into neurophysiological mechanisms that are reviewed by other authors in this volume. The formal link between the abstract GO and STOP processes and instantiating neural processes is articulated through interactive race models consisting of stochastic accumulator GO and STOP units...
April 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28230844/network-neuroscience
#8
REVIEW
Danielle S Bassett, Olaf Sporns
Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28210202/mechanisms-and-effects-of-transcranial-direct-current-stimulation
#9
James Giordano, Marom Bikson, Emily S Kappenman, Vincent P Clark, H Branch Coslett, Michael R Hamblin, Roy Hamilton, Ryan Jankord, Walter J Kozumbo, R Andrew McKinley, Michael A Nitsche, J Patrick Reilly, Jessica Richardson, Rachel Wurzman, Edward Calabrese
The US Air Force Office of Scientific Research convened a meeting of researchers in the fields of neuroscience, psychology, engineering, and medicine to discuss most pressing issues facing ongoing research in the field of transcranial direct current stimulation (tDCS) and related techniques. In this study, we present opinions prepared by participants of the meeting, focusing on the most promising areas of research, immediate and future goals for the field, and the potential for hormesis theory to inform tDCS research...
January 2017: Dose-response: a Publication of International Hormesis Society
https://www.readbyqxmd.com/read/28181877/an-in-silico-biomarker-based-method-for-the-evaluation-of-virtual-neuropsychiatric-drug-effects
#10
Peter J Siekmeier
The recent explosion in neuroscience research has markedly increased our understanding of the neurobiological correlates of many psychiatric illnesses, but this has unfortunately not translated into more effective pharmacologic treatments for these conditions. At the same time, researchers have increasingly sought out biological markers, or biomarkers, as a way to categorize psychiatric illness, as these are felt to be closer to underlying genetic and neurobiological vulnerabilities. While biomarker-based drug discovery approaches have tended to employ in vivo (e...
April 2017: Neural Computation
https://www.readbyqxmd.com/read/28165881/subtle-visuomotor-deficits-and-reduced-benefit-from-practice-in-early-treated-phenylketonuria
#11
Claudia Caprile, Jaume Campistol, Laura Puigcerver, Alfonso-Pablo Gutiérrez-Mata, Itziar Alonso-Colmenero, Roser Colomé, Jordi Navarra
INTRODUCTION: Phenylketonuria (PKU) is a rare metabolic disease that causes slight-to-severe neurological symptoms. Slow performance has been observed in PKU but the influence of high-order (i.e., not purely motor) deficits and of temporary variations of the phenylalanine (Phe) level on this slowness has not been fully corroborated as yet. Response speed and the effect of motor practice during the performance of a visuomotor coordination task were measured, in a group of patients with early-treated phenylketonuria (ET PKU)...
February 6, 2017: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/28162167/-change-of-white-matter-neuronal-integrity-associated-with-spatial-navigation-impairment-in-mild-cognitive-impairment
#12
W P Li, F F Wang, J M Lu, S C Wu, W B Wu, R Y Liu, X Zhang, M Li, H Zhao, B Zhu, Y Xu, B Zhang
Objective: To analyze the correlation between white matter integrity and spatial navigation impairment in patients with mild cognitive impairment (MCI). Methods: A total of 27 MCI subjects and 24 healthy controls were enrolled from the Affiliated Drum Tower Hospital of Nanjing University Medical School from May 2015 to February 2016, who underwent 3.0 T MRI scan and 2D-computer version spatial navigation test.DTI preprocessing and tract-based spatial statistics (TBSS) were performed by PANDA.Two sample t-test and partial correlation coefficients were performed to investigate the correlation of white matter impairments and spatial navigation decline...
January 17, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/28138806/drd4-variants-moderate-the-impact-of-parental-characteristics-on-child-attention-deficit-hyperactivity-disorder-exploratory-evidence-from-a-multiplex-family-design
#13
Molly A Nikolas, Allison M Momany
Parental ADHD symptomatology and related impairments have been robustly associated with youth ADHD across decades of work. Notably, these factors may impede typical development of child self-regulation capabilities through both neurobiological and interpersonal processes. High heritability of estimates for the disorder further suggest that these effects are likely genetically-mediated, at least in part. Variation within the dopamine D4 receptor gene (DRD4) has been shown to moderate parental influences on youth ADHD...
January 30, 2017: Journal of Abnormal Child Psychology
https://www.readbyqxmd.com/read/28095003/cocaine-addiction-as-a-homeostatic-reinforcement-learning-disorder
#14
Mehdi Keramati, Audrey Durand, Paul Girardeau, Boris Gutkin, Serge H Ahmed
Drug addiction implicates both reward learning and homeostatic regulation mechanisms of the brain. This has stimulated 2 partially successful theoretical perspectives on addiction. Many important aspects of addiction, however, remain to be explained within a single, unified framework that integrates the 2 mechanisms. Building upon a recently developed homeostatic reinforcement learning theory, the authors focus on a key transition stage of addiction that is well modeled in animals, escalation of drug use, and propose a computational theory of cocaine addiction where cocaine reinforces behavior due to its rapid homeostatic corrective effect, whereas its chronic use induces slow and long-lasting changes in homeostatic setpoint...
January 16, 2017: Psychological Review
https://www.readbyqxmd.com/read/28088645/towards-solving-the-hard-problem-of-consciousness-the-varieties-of-brain-resonances-and-the-conscious-experiences-that-they-support
#15
REVIEW
Stephen Grossberg
The hard problem of consciousness is the problem of explaining how we experience qualia or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they are. To solve this problem, a theory of consciousness needs to link brain to mind by modeling how emergent properties of several brain mechanisms interacting together embody detailed properties of individual conscious psychological experiences. This article summarizes evidence that Adaptive Resonance Theory, or ART, accomplishes this goal...
December 6, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28077883/performance-pressure-enhances-speech-learning
#16
W Todd Maddox, Seth Koslov, Han-Gyol Yi, Bharath Chandrasekaran
Real-world speech learning often occurs in high pressure situations such as trying to communicate in a foreign country. However, the impact of pressure on speech learning success is largely unexplored. In this study, adult, native speakers of English learned non-native speech categories under pressure or no-pressure conditions. In the pressure conditions, participants were informed that they were paired with a (fictitious) partner, and that each had to independently exceed a performance criterion for both to receive a monetary bonus...
November 2016: Applied Psycholinguistics
https://www.readbyqxmd.com/read/28062244/identification-of-time-varying-neural-dynamics-from-spike-train-data-using-multiwavelet-basis-functions
#17
Song Xu, Yang Li, Qi Guo, Xiao-Feng Yang, Rosa H M Chan
BACKGROUND: Tracking the changes of neural dynamics based on neuronal spiking activities is a critical step to understand the neurobiological basis of learning from behaving animals. These dynamical neurobiological processes associated with learning are also time-varying, which makes the modeling problem challenging. NEW METHOD: We developed a novel multiwavelet-based time-varying generalized Laguerre-Volterra (TVGLV) modeling framework to study the time-varying neural dynamical systems using natural spike train data...
January 4, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28049075/abnormal-brain-oscillations-persist-after-recovery-from-bipolar-depression
#18
P Canali, S Casarotto, M Rosanova, G Sferrazza-Papa, A G Casali, O Gosseries, M Massimini, E Smeraldi, C Colombo, F Benedetti
When directly perturbed in healthy subjects, premotor cortical areas generate electrical oscillations in the beta range (20-40Hz). In schizophrenia, major depressive disorder and bipolar disorder (BD), these oscillations are markedly reduced, in terms of amplitude and frequency. However, it still remains unclear whether these abnormalities can be modulated over time, or if they can be still observed after treatment. Here, we employed transcranial magnetic stimulation (TMS) combined with EEG to assess the frontal oscillatory activity in eighteen BD patients before/after antidepressant treatments (sleep deprivation and light therapy), relative to nine healthy controls...
March 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28044023/how-is-visual-salience-computed-in-the-brain-insights-from-behaviour-neurobiology-and-modelling
#19
REVIEW
Richard Veale, Ziad M Hafed, Masatoshi Yoshida
Inherent in visual scene analysis is a bottleneck associated with the need to sequentially sample locations with foveating eye movements. The concept of a 'saliency map' topographically encoding stimulus conspicuity over the visual scene has proven to be an efficient predictor of eye movements. Our work reviews insights into the neurobiological implementation of visual salience computation. We start by summarizing the role that different visual brain areas play in salience computation, whether at the level of feature analysis for bottom-up salience or at the level of goal-directed priority maps for output behaviour...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28035179/molecular-neuroimaging-in-posttraumatic-stress-disorder
#20
REVIEW
Jooyeon Jamie Im, Eun Namgung, Yejee Choi, Jung Yoon Kim, Sandy Jeong Rhie, Sujung Yoon
Over the past decade, an increasing number of neuroimaging studies have provided insight into the neurobiological mechanisms of posttraumatic stress disorder (PSTD). In particular, molecular neuroimaging techniques have been employed in examining metabolic and neurochemical processes in PTSD. This article reviews molecular neuroimaging studies in PTSD and focuses on findings using three imaging modalities including positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance spectroscopy (MRS)...
December 2016: Experimental Neurobiology
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