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Signal detection in extracellular neural ensemble recordings using higher criticismMay 15 2019Information processing in the brain is conducted by a concerted action of multiple neural populations. Gaining insights in the organization and dynamics of such populations can best be studied with broadband intracranial recordings of so-called extracellular ... More
Phase-locked states in oscillating neural networks and their role in neural communicationMay 15 2019The theory of communication through coherence (CTC) proposes that brain oscillations reflect changes in the excitability of neurons, and therefore the successful communication between two oscillating neural populations depends not only on the strength ... More
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor FactorizationMay 14 2019Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is generally considered as a consequence of AD, it might also be a risk factor ... More
Modeling Interference-Free Neuron Spikes with Optogenetic StimulationMay 14 2019This paper predicts the ability to externally control the firing times of a cortical neuron whose behavior follows the Izhikevich neuron model. The Izhikevich neuron model provides an efficient and biologically plausible method to track a cortical neuron's ... More
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial IntelligenceMay 14 2019In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification and speech recognition. Recently, researchers of natural intelligence have ... More
Human Visual Understanding for Cognition and Manipulation -- A primer for the roboticistMay 13 2019Robotic research is often built on approaches that are motivated by insights from self-examination of how we interface with the world. However, given current theories about human cognition and sensory processing, it is reasonable to assume that the internal ... More
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain MappingMay 13 2019Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling networks (FFN) architecture can achieve leading performance. However, the training of the network is computationally ... More
Building Brain Invaders: EEG data of an experimental validationMay 13 2019We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2649006 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 25 subjects testing the Brain ... More
An introduction to time-resolved decoding analysis for M/EEGMay 13 2019The human brain is constantly processing and integrating information in order to make decisions and interact with the world, for tasks from recognizing a familiar face to playing a game of tennis. These complex cognitive processes require communication ... More
Neurobiological reality simulation through an Artificial Neural Network at criticalityMay 11 2019An artificial neural network (ANN) based on fundamental principles of physics can simulate the operation of neurobiological reality of membrane potential as well as the properly defined order parameter. This ANN operates in conditions of criticality and ... More
Emergence of Subcritical Bifurcations in a System of Randomly Coupled Supercritical Andronov-Hopf Oscillators: A Potential Mechanism for Neural Network Type SwitchingMay 10 2019Cortical systems such as the visual cortex exhibit behaviors that change according to behavioral and stimulus context. It is still unknown what mechanisms underlie this adaptive processing in cortical circuitry. In this paper, we present a model of randomly ... More
Visuospatial short-term memory and dorsal visual gray matter volumeMay 10 2019Visual short-term memory (VSTM) is an important cognitive capacity that varies across the healthy adult population and is affected in several neurodevelopmental disorders. It has been suggested that neuroanatomy places limits on this capacity through ... More
Fingerprinting Orientation Distribution Functions in Diffusion MRI detects smaller crossing anglesMay 10 2019Diffusion tractography is routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct identification of tract directions in each voxel. Here we propose a fingerprinting-based ... More
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New FrontiersMay 10 2019Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems ... More
Impaired neurovascular coupling in the APPxPS1 mouse model of Alzheimer’s diseaseMay 10 2019The tight coupling between neuronal activity and the local increase of blood flow termed neurovascular coupling is essential for normal brain function. This mechanism of regulation is compromised in Alzheimer's Disease (AD). In order to determine whether ... More
Digital System Reconstruction by Pairwise Transfer EntropyMay 10 2019Transfer entropy (TE) is an attractive model-free method to detect causality and infer structural connectivity of general digital systems. However it relies on high dimensions used in its definition to clearly remove the memory effect and distinguish ... More
A Complementary Learning Systems Approach to Temporal Difference LearningMay 07 2019Complementary Learning Systems (CLS) theory suggests that the brain uses a 'neocortical' and a 'hippocampal' learning system to achieve complex behavior. These two systems are complementary in that the 'neocortical' system relies on slow learning of distributed ... More
Affective touch communication in close adult relationshipsMay 07 2019Inter-personal touch is a powerful aspect of social interaction that we expect to be particularly important for emotional communication. We studied the capacity of closely acquainted humans to signal the meaning of several word cues (e.g. gratitude, sadness) ... More
On early brain folding patterns using biomechanical growth modelingMay 07 2019Abnormal cortical folding patterns may be related to neurodevelopmental disorders such as lissencephaly and polymicrogyria. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. ... More
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging StudyMay 07 2019The recent success of brain-inspired deep neural networks (DNNs) in solving complex, high-level visual tasks has led to rising expectations for their potential to match the human visual system. However, DNNs exhibit idiosyncrasies that suggest their visual ... More
Neuroplasticity in adult human visual cortexMay 07 2019Between 1 to 5 out of 100 people worldwide has never experienced normotypic vision due to a condition called amblyopia, and about 1 out of 4000 suffer from inherited retinal dystrophies that progressively lead them to blindness. While a wide range of ... More
Fundamental Law of Memory RecallMay 07 2019Free recall of random lists of words is a standard paradigm used to probe human memory. We proposed an associative search process that can be reduced to a deterministic walk on random graphs defined by the structure of memory representations. This model ... More
An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling LanguageMay 06 2019Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit specific knowledge encoded in the constructs for the generation of code adapted to a particular hardware ... More
Quantifying the role of neurons for behavior is a mediation questionMay 06 2019Many systems neuroscientists want to understand neurons in terms of mediation; we want to understand how neurons are involved in the causal chain from stimulus to behavior. Unfortunately, most tools are inappropriate for that while our language takes ... More
Axonal ComputationsMay 06 2019Axons functionally link the somato-dendritic compartment to synaptic terminals. Structurally and functionally diverse, they accomplish a central role in determining the delays and reliability with which neuronal ensembles communicate. By combining their ... More
Neuronal coupling benefits the encoding of weak periodic signals in symbolic spike patternsMay 06 2019A good understanding of how neurons use electrical pulses (i.e, spikes) to encode the signal information remains elusive. Analyzing spike sequences generated by individual neurons and by two coupled neurons (using the stochastic FitzHugh-Nagumo model), ... More
An exact firing rate model reveals the differential effects of chemical versus electrical synapses in spiking networksMay 06 2019Chemical and electrical synapses shape the dynamics of neuronal networks. Numerous theoretical studies have investigated how each of these types of synapses contributes to the generation of neuronal oscillations, but their combined effect is less understood. ... More
Noise-induced synchronization and anti-resonance in excitable systems; Implications for information processing in Parkinson's Disease and Deep Brain StimulationMay 03 2019We study the statistical physics of a surprising phenomenon arising in large networks of excitable elements in response to noise: while at low noise, solutions remain in the vicinity of the resting state and large-noise solutions show asynchronous activity, ... More
Optimal interplay between synaptic strengths and network structure enhances activity fluctuations and information propagation in hierarchical modular networksMay 03 2019May 06 2019In network models of spiking neurons, the coupled impact of network structure and synaptic parameters on activity propagation is still an open problem. For spiking networks with hierarchical modular topology, we show that slow spike-train fluctuations ... More
Computational analysis of laminar structure of the human cortex based on local neuron featuresMay 03 2019In this paper, we present a novel method for analysis and segmentation of laminar structure of the cortex based on tissue characteristics whose change across the gray matter facilitates distinction between cortical layers. We develop and analyze features ... More
Similarity of Neural Network Representations RevisitedMay 01 2019Recent work has sought to understand the behavior of neural networks by comparing representations between layers and between different trained models. We examine methods for comparing neural network representations based on canonical correlation analysis ... More
Gradient-free activation maximization for identifying effective stimuliMay 01 2019A fundamental question for understanding brain function is what types of stimuli drive neurons to fire. In visual neuroscience, this question has also been posted as characterizing the receptive field of a neuron. The search for effective stimuli has ... More
Beta Power May Mediate the Effect of Gamma-TACS on Motor PerformanceMay 01 2019Transcranial alternating current stimulation (tACS) is becoming an important method in the field of motor rehabilitation because of its ability to non-invasively influence ongoing brain oscillations at arbitrary frequencies. However, substantial variations ... More
The Psychological and Physiological Part of Emotions: Multimodal Approximation for Valence ClassificationMay 01 2019In order to develop more precise and functional affective applications, it is necessary to achieve a balance between the psychology and the engineering applied to emotions. Signals from the central and peripheral nervous systems have been used for emotion ... More
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniquesApr 30 2019Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Long-Term Memory and Short-Term Memory. The various types of the memory and ... More
Minimal model of permutation symmetry in unsupervised learningApr 30 2019Permutation of any two hidden units yields invariant properties in typical deep generative neural networks. This permutation symmetry plays an important role in understanding the computation performance of a broad class of neural networks with two or ... More
Antiepileptic drugs induce subcritical dynamics in human cortical networksApr 30 2019Cortical network functioning critically depends on finely tuned interactions to afford neuronal activity propagation over long distances while avoiding runaway excitation. This importance is highlighted by the pathological consequences and impaired performance ... More
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural NetworksApr 30 2019Neural coding is one of the central questions in systems neuroscience for understanding how the brain processes stimulus from the environment, moreover, it is also a cornerstone for designing algorithms of brain-machine interface, where decoding incoming ... More
Generative models as parsimonious descriptions of sensorimotor loopsApr 29 2019The Bayesian brain hypothesis, predictive processing and variational free energy minimisation are typically used to describe perceptual processes based on accurate generative models of the world. However, generative models need not be veridical representations ... More
Mathematical studies of the dynamics of finite-size binary neural networks: A review of recent progressApr 29 2019Traditional mathematical approaches to studying analytically the dynamics of neural networks rely on the mean-field approximation, which is rigorously applicable only to networks of infinite size. However, all existing real biological networks have finite ... More
Theory of cyborg: a new approach to fish locomotion controlApr 29 2019Apr 30 2019Cyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral reaction of ... More
Theory of cyborg: a new approach to fish locomotion controlApr 29 2019Cyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral reaction of ... More
A new method of brain stimulation at ultra-high frequencyApr 29 2019Nerve stimulation via micro-electrode implants is one of the neurostimulation approaches which is used frequently in the medical treatment of some brain disorders, neural prosthetics, brain-machine interfaces and also in the cyborg. In this method, the ... More
The Geometry of Rest-Spike BistabilityApr 27 2019The Morris-Lecar model is arguably the simplest dynamical model that retains both the slow-fast geometry of excitable phase portraits and the physiological interpretation of a conductance-based model. We augment this model with one slow inward current ... More
Neuronal mechanisms for sequential activation of memory items: dynamics and reliabilityApr 27 2019In this article we present a biologically inspired model of activation of memory items in a sequence. Our model produces two types of sequences, corresponding to two different types of cerebral functions: activation of regular or irregular sequences. ... More
Discovering Common Change-Point Patterns in Functional Connectivity Across SubjectsApr 26 2019This paper studies change-points in human brain functional connectivity (FC) and seeks patterns that are common across multiple subjects under identical external stimulus. FC relates to the similarity of fMRI responses across different brain regions when ... More
Capturing human categorization of natural images at scale by combining deep networks and cognitive modelsApr 26 2019Human categorization is one of the most important and successful targets of cognitive modeling in psychology, yet decades of development and assessment of competing models have been contingent on small sets of simple, artificial experimental stimuli. ... More
Geometric renormalization unravels self-similarity of the multiscale human connectomeApr 26 2019Structural connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain poses a rich architecture organized in multiple scales linked to one another. We explored the multiscale organization ... More
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networksApr 26 2019Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking neural networks tend to assume linear, current-based superposition of post-synaptic ... More
Voluntary phantom hand and finger movements in transhumeral amputees could be used to naturally control polydigital prosthesesApr 26 2019An arm amputation is extremely invalidating since many of our daily tasks require bi-manual and precise control of hand movements. Perfect hand prostheses should therefore offer a natural, intuitive and cognitively simple control over their numerous biomimetic ... More
Winner-Take-All Computation in Spiking Neural NetworksApr 25 2019In this work we study biological neural networks from an algorithmic perspective, focusing on understanding tradeoffs between computation time and network complexity. Our goal is to abstract real neural networks in a way that, while not capturing all ... More
Directed Flow of Information in Chimera StatesApr 25 2019We investigated interactions within chimera states in a phase oscillator network with two coupled subpopulations. To quantify interactions within and between these subpopulations, we estimated the corresponding (delayed) mutual information that -- in ... More
"Favoring my playmate seems fair": Inhibitory control and theory of mind in preschoolers' self-disadvantaging behaviorsApr 25 2019The purpose of this study was to investigate the relationship between preschoolers' cognitive abilities and their fairness-related allocation behaviors in a dilemma of equity-efficiency conflict. Four- to 6-year-olds in Experiment 1 (N = 99) decided how ... More
Coding Capacity of Purkinje Cells with Different Schemes of Morphological ReductionApr 25 2019The brain as a neuronal system has very complex structure with large diversity of neuronal types. The most basic complexity is seen from the structure of neuronal morphology, which usually has a complex tree-like structure with dendritic spines distributed ... More
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional NetsApr 23 2019It is now common to process volumetric biomedical images using 3D Convolutional Networks (ConvNets). This can be challenging for the teravoxel and even petavoxel images that are being acquired today by light or electron microscopy. Here we introduce chunkflow, ... More
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional NetsApr 23 2019Apr 25 2019It is now common to process volumetric biomedical images using 3D Convolutional Networks (ConvNets). This can be challenging for the teravoxel and even petavoxel images that are being acquired today by light or electron microscopy. Here we introduce chunkflow, ... More
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional NetsApr 23 2019May 02 2019It is now common to process volumetric biomedical images using 3D Convolutional Networks (ConvNets). This can be challenging for the teravoxel and even petavoxel images that are being acquired today by light or electron microscopy. Here we introduce chunkflow, ... More
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable modelsApr 23 2019Sensory neurons often have variable responses to repeated presentations of the same stimulus, which can significantly degrade the stimulus information contained in those responses. This information can in principle be preserved if variability is shared ... More
Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractographyApr 23 2019The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it can innervate the voluntary movement of skeletal muscle through spinal interneurons (the 4th layer of the Rexed gray board layers), and anterior horn motorneurons (which control trunk ... More
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's diseaseApr 21 2019Accurate diagnosis is crucial for preventing the progression of Parkinson's, as well as improving the quality of life with individuals with Parkinson's disease. In this paper, we develop a gender specific and age dependent classification method to diagnose ... More
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's diseaseApr 21 2019Apr 26 2019Accurate diagnosis is crucial for preventing the progression of Parkinson's, as well as improving the quality of life with individuals with Parkinson's disease. In this paper, we develop a gender specific and age dependent classification method to diagnose ... More
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's diseaseApr 21 2019Apr 23 2019Accurate diagnosis is crucial for preventing the progression of Parkinson's, as well as improving the quality of life with individuals with Parkinson's disease. In this paper, we develop a gender specific and age dependent classification method to diagnose ... More
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal CircuitsApr 21 2019Winner-Take-All (WTA) refers to the neural operation that selects a (typically small) group of neurons from a large neuron pool. It is conjectured to underlie many of the brain's fundamental computational abilities. However, not much is known about the ... More
Functional brain network architecture supporting the learning of social networks in humansApr 20 2019Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structures to successfully navigate social relationships. Here we address this knowledge ... More
Alterations in Structural Correlation Networks with Prior Concussion in Collision-Sport AthletesApr 18 2019Several studies have used structural correlation networks, derived from anatomical covariance of brain regions, to analyze neurologic changes associated with multiple sclerosis, schizophrenia and breast cancer [1][2]. Graph-theoretical analyses of human ... More
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of CodingApr 18 2019In a recent article, Brette argues that coding as a concept is inappropriate for explanations of neurocognitive phenomena. Here, we argue that Brette's conceptual analysis mischaracterizes the structure of causal claims in coding and other forms of analysis-by-decomposition. ... More
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain BretteApr 18 2019Brette contends that the neural coding metaphor is an invalid basis for theories of what the brain does. Here, we argue that it is an insufficient guide for building an artificial intelligence that learns to accomplish short- and long-term goals in a ... More
Stochastic mechanism for improving selectivity of olfactory projection neuronsApr 18 2019A mechanism is proposed for increasing selectivity of olfactory bulb projection neurons as compared to the olfactory receptor neurons, which could operate under low odor concentration, when the lateral inhibition mechanism becomes inefficient. The mechanism ... More
Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal networkApr 17 2019Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential ... More
Information Based Centralization of Locomotion in Animals and RobotsApr 17 2019Movement in biology is often achieved with distributed control of coupled subcomponents, e.g. muscles and limbs. Coupling could range from weak and local, i.e. decentralized, to strong and global, i.e. centralized. We developed a model-free measure of ... More
People infer recursive visual concepts from just a few examplesApr 17 2019Machine learning has made major advances in categorizing objects in images, yet the best algorithms miss important aspects of how people learn and think about categories. People can learn richer concepts from fewer examples, including causal models that ... More
Putting Mind Back into Nature: A Tribute to Henry P. StappApr 16 2019Henry Stapp has for 60 years been a leader, perhaps the leader, in exploring the role of mind (psyche, consciousness, experience) in the ontology of quantum mechanics. Henry's contention is that the very structure of quantum mechanics implies a central ... More
Response of Selective Attention in Middle Temporal AreaApr 16 2019The primary visual cortex processes a large amount of visual information, however, due to its large receptive fields, when multiple stimuli fall within one receptive field, there are computational problems. To solve this problem, the visual system uses ... More
The Impact of UCMAS Training Program on Potentiating Cognitive Capacity among 9-12 Year-Old Primary Schoolers in ShirazApr 16 2019The Universal Concept of Mental Arithmetic System (UCMAS) is a modern representation of an ancient art of mental arithmetic. Although such a training is hypothesized to result in potential effects on mental capacity and cognitive performance in experienced ... More
fMRI Based Cerebral Instantaneous Parameters for Automatic Alzheimer's, Mild Cognitive Impairment and Healthy Subject ClassificationApr 16 2019Automatic identification and categorization of Alzheimer's patients and the ability to distinguish between different levels of this disease can be very helpful to the research community in this field, since other non-automatic approaches are very time-consuming ... More
Metrics for Graph Comparison: A Practitioner's GuideApr 16 2019Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience, cyber security, social network analysis, and bioinformatics, among others. Discovery and comparison of ... More
Critical elements for connectivity analysis of brain networksApr 15 2019In recent years, new and important perspectives were introduced in the field of neuroimaging with the emergence of the connectionist approach. In this new context, it is important to know not only which brain areas are activated by a particular stimulus ... More
Bilateral symmetry strengthens the perceptual salience of figure against groundApr 14 2019Although symmetry has been discussed in terms of a major law of perceptual organization since the early conceptual efforts of the Gestalt school (Wertheimer, Metzger, Koffka and others), the first quantitative measurements testing for effects of symmetry ... More
Brain on the 3D Visual Art through Virtual Reality; Introducing Neuro-Art in a Case InvestigationApr 14 2019The reciprocal impact of applied neuroscience and cognitive studies on humanities has been extensive and growing over the past 30 years of research. Studies on neuroaesthetics have provided novel insights in visual arts, music as well as abstract and ... More
Improved visual function in a case of ultra-low vision following ischemic encephalopathy following transcranial electrical stimulation; A case studyApr 10 2019Cortical visual impairment is amongst the key pathological causes of pediatric visual abnormalities predominantly resulting from hypoxic-ischemic brain injury. Such an injury results in profound visual impairments which severely impairs the patient's ... More
Cord-blood vitamin D level and night sleep duration in preschoolers in the EDEN mother-child birth cohortApr 10 2019Objective: 25-hydroxyvitamin D (25OHD) deficiency has been associated with sleep disorders in adults. Only three cross-sectional studies were performed in children and showed an association between 25OHD deficiency and both obstructive sleep apnea syndrome ... More
Association of night-waking and inattention/hyperactivity symptoms trajectories in preschool-aged childrenApr 10 2019Objective: To study the longitudinal associations between inattention/hyperactivity symptoms and night-waking in preschool-years, in light of their joint evolution.Study design: Within the French birth-cohort study EDEN, repeated measures of 1342 children's ... More
Night sleep duration trajectories and associated factors among preschool children from the EDEN cohortApr 10 2019Objective. Sleep duration may vary inter-individually and intra-individually over time. We aimed at both identifying night-sleep duration (NSD) trajectories among preschoolers and studying associated factors. Methods. NSD were collected within the French ... More
Sleep and its relation to cognition and behaviour in preschool-aged children of the general population: a systematic reviewApr 10 2019Background: While the relations between sleep, cognition and behavior have been extensively studied in adolescents and school-aged children, very little attention has been given to preschoolers. Objective: In this systematic review, our aim was to survey ... More
Top-down predictions influence binocular rivalry through beta band rhythms: a qEEG-based investigationApr 10 2019Predictive coding theory suggests that conscious perception results from the interaction between top-down and bottom-up signals in the brain. However, the electrophysiological signatures of top-down predictions are not clear yet. Here, we cued subjects ... More
Early features associated with the neurocognitive development at 36 months of age: the AuBE studyApr 10 2019Background. Few studies on the relations between sleep quantity and/or quality and cognition were conducted among pre-schoolers from healthy general population. We aimed at identifying, among 3 years old children, early factors associated with intelligence ... More
Geometric Meditation-Based Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder: A Case StudyApr 10 2019Obsessive-Compulsive Disorder (OCD), characterized by unwanted and distressing intrusive thoughts, images, urges, doubts and ideas or sensations and repetitive mental or behavioral acts, which is regarded as an overwhelming mental disorder. Over the past ... More
Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic QueryingApr 09 2019We establish and build theoretical and numerical connections between the theories and methods of integrated information and algorithmic complexity. We introduce a method for estimating integrated information performing a programmability test rooted in ... More
A Feature-Value Network as a Brain ModelApr 09 2019This paper suggests a statistical framework for describing the relations between the physical and conceptual entities of a brain-like model. In particular, features and concept instances are put into context. This may help with understanding or implementing ... More
Predicting synchronous firing of large neural populations from sequential recordingsApr 09 2019A major goal in neuroscience is to understand how populations of neurons code for stimuli or actions. While the number of neurons that can be recorded simultaneously is increasing at a fast pace, in most cases these recordings cannot access a complete ... More
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure PredictionApr 07 2019Objective: The aim of this study is to develop an efficient and reliable epileptic seizure prediction system using intracranial EEG (iEEG) data, especially for people with drug-resistant epilepsy. The prediction procedure should yield accurate results ... More
Decoding hand kinematics from population responses in sensorimotor cortex during graspingApr 06 2019The hand, a complex effector comprising dozens of degrees of freedom of movement, endows us with the ability to flexibly, precisely, and effortlessly interact with objects. The neural signals associated with dexterous hand movements in primary motor cortex ... More
Does it Swing? Microtiming Deviations and Swing Feeling in JazzApr 06 2019Jazz music that swings has the fascinating power to elicit a pleasant sensation of flow in listeners and the desire to synchronize body movements with the music. Whether microtiming deviations (MTDs), i.e. small timing deviations below the bar or phrase ... More
Functional Geometry of Human Connectome and Robustness of Gender DifferencesApr 06 2019Mapping the brain imaging data to networks, where each node represents a specific area of the brain, has enabled an objective graph-theoretic analysis of human connectome. However, the latent structure on higher-order connections remains unexplored, where ... More
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation DistributionsApr 06 2019Apr 11 2019Diffusion tractography in brain connectomics often involves tracing axonal trajectories across gray-white matter boundaries in gyral blades of complex cortical convolutions. To date, gyral bias is observed in most tractography algorithms with streamlines ... More
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation DistributionsApr 06 2019Diffusion tractography in brain connectomics often involves tracing axonal trajectories across gray-white matter boundaries in gyral blades of complex cortical convolutions. To date, gyral bias is observed in most tractography algorithms with streamlines ... More
Neural Codes and the Factor ComplexApr 05 2019We introduce the factor complex of a neural code, and show how intervals and maximal codewords are captured by the combinatorics of factor complexes. We use these results to obtain algebraic and combinatorial characterizations of max-intersection-complete ... More
When is an action caused from within? Quantifying the causal chain leading to actions in simulated agentsApr 05 2019An agent's actions can be influenced by external factors through the inputs it receives from the environment, as well as internal factors, such as memories or intrinsic preferences. The extent to which an agent's actions are "caused from within", as opposed ... More
The nature of the animacy organization in human ventral temporal cortexApr 05 2019The principles underlying the animacy organization of the ventral temporal cortex (VTC) remain hotly debated, with recent evidence pointing to an animacy continuum rather than a dichotomy. What drives this continuum? According to the visual categorization ... More
The nature of the animacy organization in human ventral temporal cortexApr 05 2019Apr 10 2019The principles underlying the animacy organization of the ventral temporal cortex (VTC) remain hotly debated, with recent evidence pointing to an animacy continuum rather than a dichotomy. What drives this continuum? According to the visual categorization ... More