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Effects of high vs moderate-intensity training on neuroplasticity and functional recovery after focal ischemiaFeb 08 2018Background and Purpose: This study was designed to compare the effects of high-intensity interval training (HIT) and moderate-intensity continuous training (MOD) on functional recovery and cerebral plasticity during the first 2 weeks following cerebral ... More
Restate the reference for EEG microstate analysisFeb 08 2018Despite the decades of efforts, the choice of EEG reference is still a debated fundamental issue. Non-neutral reference can inevitably inject the uncontrolled temporal biases into all EEG recordings, which may influence the spatiotemporal analysis of ... More
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural NetsFeb 08 2018The insect olfactory system, which includes the antennal lobe (AL), mushroom body (MB), and ancillary structures, is a relatively simple neural system capable of learning. Its structural features, which are widespread in biological neural systems, process ... More
Evolution of the Science Fiction Writer's Capacity to Imagine the FutureFeb 07 2018Drawing upon a body of research on the evolution of creativity, this paper proposes a theory of how, when, and why the forward-thinking story-telling abilities of humans evolved, culminating in the visionary abilities of science fiction writers. The ability ... More
Harnessing functional segregation across brain rhythms as a means to detect EEG oscillatory multiplexing during music listeningFeb 03 2018Music, being a multifaceted stimulus evolving at multiple timescales, modulates brain function in a manifold way that encompasses not only the distinct stages of auditory perception but also higher cognitive processes like memory and appraisal. Network ... More
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilizationFeb 02 2018Humans and most animals can learn new tasks without forgetting old ones. However, training artificial neural networks (ANNs) on new tasks typically cause it to forget previously learned tasks. This phenomenon is the result of "catastrophic forgetting", ... More
Effect of time of day on reward circuitry. A discussion of Byrne et al. 2017Feb 02 2018Byrne and colleagues present a paper on a timely topic with potentially important results. However, we think that issues in the design and analysis complicate the interpretation and limit the generalizability of the findings. Specifically, the details ... More
Hippocampal and striatal involvement in cognitive tasks: a computational modelFeb 02 2018The hippocampus and the striatum support episodic and procedural memory, respectively, and "place" and "response" learning within spatial navigation. Recently this dichotomy has been linked to "model-based" and "model-free" reinforcement learning. Here ... More
Complex Network Geometry and Frustrated SynchronizationFeb 01 2018The dynamics of networks of neuronal cultures has been recently shown to be strongly dependent on the network geometry and in particular on their dimensionality. However, this phenomenon has been so far mostly unexplored from the theoretical point of ... More
AMPA, NMDA and GABAA receptor mediated network burst dynamics in cortical cultures in vitroFeb 01 2018In this work we study the excitatory AMPA, and NMDA, and inhibitory GABAA receptor mediated dynamical changes in neuronal networks of neonatal rat cortex in vitro. Extracellular network-wide activity was recorded with 59 planar electrodes simultaneously ... More
Landau-Ginzburg theory of cortex dynamics: Scale-free avalanches emerge at the edge of synchronizationJan 31 2018Understanding the origin, nature, and functional significance of complex patterns of neural activity, as recorded by diverse electrophysiological and neuroimaging techniques, is a central challenge in neuroscience. Such patterns include collective oscillations ... More
Over-representation of Extreme Events in Decision-Making: A Rational Metacognitive AccountJan 30 2018The Availability bias, manifested in the over-representation of extreme eventualities in decision-making, is a well-known cognitive bias, and is generally taken as evidence of human irrationality. In this work, we present the first rational, metacognitive ... More
Moral attitudes and willingness to induce cognitive enhancement and repair with brain stimulationJan 27 2018Feb 01 2018The availability of technological means to enhance and repair human cognitive function raises questions about the perceived morality of their use. In this study, we administered a survey to the public in which subjects were asked to report how willing ... More
Clarifying Cognitive Control and the Controllable ConnectomeJan 26 2018Cognitive control researchers aim to describe the processes that support adaptive cognition to achieve specific goals. Control theorists consider how to influence the state of systems to reach certain user-defined goals. In brain networks, some conceptual ... More
Is Human Atrial Fibrillation Stochastic or Deterministic?Jan 25 2018Atrial fibrillation (AF) is the most common cardiac arrhythmia in human beings, and is associated with significant morbidity and mortality. The current standard of care includes interventional catheter ablation in selected patients, but the success rate ... More
Networks of piecewise linear neural mass modelsJan 25 2018Neural mass models are ubiquitous in large scale brain modelling. At the node level they are written in terms of a set of ODEs with a nonlinearity that is typically a sigmoidal shape. Using structural data from brain atlases they may be connected into ... More
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsJan 24 2018Feb 04 2018Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al. 2016). Psychlab enables implementations of classical laboratory psychological experiments so that they work with both human and artificial ... More
Navigation of brain networksJan 24 2018Understanding the mechanisms of neural communication in large-scale brain networks remains a major goal in neuroscience. We investigated whether navigation is a parsimonious routing model for connectomics. Navigating a network involves progressing to ... More
Expectation Learning for Adaptive Crossmodal Stimuli AssociationJan 23 2018The human brain is able to learn, generalize, and predict crossmodal stimuli. Learning by expectation fine-tunes crossmodal processing at different levels, thus enhancing our power of generalization and adaptation in highly dynamic environments. In this ... More
To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyssJan 22 2018Self-initiated voluntary acts, such as pressing a button, are preceded by a negative electrical brain potential, the Bereitschaftspotential (BP), that can be recorded over the human scalp using electroencephalography (EEG). Up to now, the BP required ... More
Threshold of front propagation in neural fields: An interface dynamics approachJan 17 2018Neural field equations model population dynamics of large-scale networks of neurons. Wave propagation in neural fields is often studied by constructing traveling wave solutions in the wave coordinate frame. Nonequilibrium dynamics are more challenging ... More
Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure SuppressionJan 16 2018Neurostimulation is a promising therapy for abating epileptic seizures. However, it is extremely difficult to identify optimal stimulation patterns experimentally. In this study human recordings are used to develop a functional 24 neuron network statistical ... More
Sex differences in network controllability as a predictor of executive function in youthJan 15 2018Executive function emerges late in development and displays different developmental trends in males and females. Sex differences in executive function in youth have been linked to vulnerability to psychopathology as well as to behaviors that impinge on ... More
Measuring the Complexity of ConsciousnessJan 11 2018The quest for a scientific description of consciousness has given rise to new theoretical and empirical paradigms for the investigation of phenomenological contents as well as clinical disorders of consciousness. An outstanding challenge in the field ... More
Sex-by-age differences in the resting-state brain connectivityJan 04 2018Recently we developed a novel method for assessing the hierarchical modularity of functional brain networks - the probability associated community estimation(PACE). The PACE algorithm is unique in that it permits a dual formulation, thus yielding equivalent ... More
Fit to speak - Physical fitness is associated with reduced language decline in healthy ageingJan 04 2018Healthy ageing is associated with decline in cognitive abilities such as language. Aerobic fitness has been shown to ameliorate decline in some cognitive domains, but the potential benefits for language have not been examined. We investigated the relationship ... More
Construction and Evaluation of Hierarchical Parcellation of the Brain using fMRI with PrewhiteningDec 21 2017Feb 07 2018Brain atlases are a ubiquitous tool used for analyzing and interpreting brain imaging datasets. Traditionally, brain atlases divided the brain into regions separated by anatomical landmarks. In the last decade, several attempts have been made to parcellate ... More
Adaptation to criticality through organizational invariance in embodied agentsDec 13 2017Many biological and cognitive systems do not operate deep within one or other regime of activity. Instead, they are poised at critical points located at transitions of their parameter space. The pervasiveness of criticality suggests that there may be ... More
Static and dynamic measures of human brain connectivity predict complementary aspects of human cognitive performanceNov 27 2017In cognitive network neuroscience, the connectivity and community structure of the brain network is related to cognition. Much of this research has focused on two measures of connectivity - modularity and flexibility - which frequently have been examined ... More
Brain Modularity Mediates the Relation between Task Complexity and PerformanceNov 24 2017Recent work in cognitive neuroscience has focused on analyzing the brain as a network, rather than as a collection of independent regions. Prior studies taking this approach have found that individual differences in the degree of modularity of the brain ... More
Occipital and left temporal EEG correlates of phenomenal consciousnessNov 05 2017In the first section, Introduction, we present our experimental design. In the second section, we characterize the grand average occipital and temporal electrical activity correlated with a contrast in access. In the third section, we characterize the ... More
Individuals, Institutions, and Innovation in the Debates of the French RevolutionOct 18 2017The French Revolution brought principles of "liberty, equality, and brotherhood" to bear on the day-to-day challenges of governing what was then the largest country in Europe. Its experiments provided a model for future revolutions and democracies across ... More
Are there optical communication channels in the brain?Aug 23 2017Despite great progress in neuroscience, there are still fundamental unanswered questions about the brain, including the origin of subjective experience and consciousness. Some answers might rely on new physical mechanisms. Given that biophotons have been ... More
The impact of epilepsy surgery on the structural connectome and its relation to outcomeJul 25 2017Temporal lobe surgical resection brings seizure remission in up to 80% of patients, with long-term complete seizure freedom in 41%. However, it is unclear how surgery impacts on the structural white matter network, and how the network changes relate to ... More
An active inference implementation of phototaxisJul 06 2017Active inference is emerging as a possible unifying theory of perception and action in cognitive and computational neuroscience. On this theory, perception is a process of inferring the causes of sensory data by minimising the error between actual sensations ... More
The free energy principle for action and perception: A mathematical reviewMay 24 2017The 'free energy principle' (FEP) has been suggested to provide a unified theory of the brain, integrating data and theory relating to action, perception, and learning. The theory and implementation of the FEP combines insights from Helmholtzian 'perception ... More
Quantum probability updating from zero prior (by-passing Cromwell's rule)May 23 2017Cromwell's rule (also known as the zero priors paradox) refers to the constraint of classical probability theory that if one assigns a prior probability of 0 or 1 to a hypothesis, then the posterior has to be 0 or 1 as well (this is a straightforward ... More
The Social Benefits of Balancing Creativity and Imitation: Evidence from an Agent-based ModelApr 29 2017Although creativity is encouraged in the abstract it is often discouraged in educational and workplace settings. Using an agent-based model of cultural evolution, we investigated the idea that tempering the novelty-generating effects of creativity with ... More
Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agentsApr 18 2017May 24 2017This paper outlines a methodological approach for designing adaptive agents driving themselves near points of criticality. Using a synthetic approach we construct a conceptual model that, instead of specifying mechanistic requirements to generate criticality, ... More
Rigorous spatial statistics for gaze patterns in scene viewing: Effects of repeated viewingApr 06 2017Scene viewing is used to study attentional selection in complex but still controlled environments. One of the main observations on eye movements during scene viewing is the inhomogeneous distribution of fixation locations: While some parts of an image ... More
SCALPEL: Extracting Neurons from Calcium Imaging DataMar 20 2017In the past few years, new technologies in the field of neuroscience have made it possible to simultaneously image activity in large populations of neurons at cellular resolution in behaving animals. In mid-2016, a huge repository of this so-called "calcium ... More
Pattern representation and recognition with accelerated analog neuromorphic systemsMar 17 2017Jul 03 2017Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit particular tasks. In this paper, we review several possibilites to reverse map ... More
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardwareMar 12 2017How spiking networks are able to perform probabilistic inference is an intriguing question, not only for understanding information processing in the brain, but also for transferring these computational principles to neuromorphic silicon circuits. A number ... More
The cognitive roots of regularization in languageMar 09 2017Regularization occurs when the output a learner produces is less variable than the linguistic data they observed. In an artificial language learning experiment, we show that there exist at least two independent sources of regularization bias in cognition: ... More
Pattern Storage, Bifurcations and Higher-Order Correlation Structure of an Exactly Solvable Asymmetric Neural Network ModelFeb 10 2017Feb 15 2017Exactly solvable neural network models with asymmetric weights are rare, and exact solutions are available only in some mean-field approaches. In this article we find exact analytical solutions of an asymmetric spin-glass-like model of arbitrary size ... More
Learning Criticality in an Embodied Boltzmann MachineFeb 02 2017Many biological and cognitive systems do not operate deep into one or other regime of activity. Instead, they exploit critical surfaces poised at transitions in their parameter space. The pervasiveness of criticality in natural systems suggests that there ... More
Subsampling scaling: a theory about inference from partly observed systemsJan 16 2017In real-world applications, observations are often constrained to a small fraction of a system. Such spatial subsampling can be caused by the inaccessibility or the sheer size of the system, and cannot be overcome by longer sampling. Spatial subsampling ... More
Random versus maximum entropy models of neural population activityDec 08 2016The principle of maximum entropy provides a useful method for inferring statistical mechanics models from observations in correlated systems, and is widely used in a variety of fields where accurate data are available. While the assumptions underlying ... More
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarkerDec 08 2016Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people and deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the credentials ... More
How structure sculpts function: unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structureDec 07 2016Intrinsic brain activity is characterized by highly structured co-activations between different regions, whose origin is still under debate. In this paper, we address the question whether it is possible to unveil how the underlying anatomical connectivity ... More
Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in SchizophreniaDec 07 2016Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide information about neurological functions in complementary spatiotemporal resolutions; therefore, fusion of these modalities is expected ... More
A Multi-Pass Approach to Large-Scale ConnectomicsDec 07 2016The field of connectomics faces unprecedented "big data" challenges. To reconstruct neuronal connectivity, automated pixel-level segmentation is required for petabytes of streaming electron microscopy data. Existing algorithms provide relatively good ... More
Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapsesDec 06 2016Revealing hidden features in unlabeled data is called unsupervised feature learning, which plays an important role in pretraining a deep neural network. Here we provide a statistical mechanics analysis of the unsupervised learning in a restricted Boltzmann ... More
Cortical Brain Computer Interface for Closed-Loop Deep Brain StimulationDec 05 2016Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions -most often affecting the patient's dominant upper extremity- that occur during volitional movement and make it difficult ... More
The grammar of mammalian brain capacityDec 04 2016Uniquely human abilities may arise from special-purpose brain circuitry, or from concerted general capacity increases due to our outsized brains. We forward a novel hypothesis of the relation between computational capacity and brain size, linking mathematical ... More
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modelingDec 02 2016This paper describes a new neuroimaging analysis toolbox that allows for the modeling of nonlinear effects at the voxel level, overcoming limitations of methods based on linear models like the GLM. We illustrate its features using a relevant example in ... More
Bayesian Population Receptive Field ModellingDec 02 2016We introduce a probabilistic (Bayesian) framework and associated software toolbox for mapping population receptive fields (pRFs) based on fMRI data. This generic approach is intended to work with stimuli of any dimension and is demonstrated and validated ... More
A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signalsNov 30 2016In this viewpoint article, we discuss the electric properties of the medium around neurons, which are important to correctly interpret extracellular potentials or electric field effects in neural tissue. We focus on how these electric properties shape ... More
Vocabulary and the Brain: Evidence from Neuroimaging StudiesNov 30 2016In summary of the research findings presented in this paper, various brain regions are correlated with vocabulary and vocabulary acquisition. Semantic associations for vocabulary seem to be located near brain areas that vary according to the type of vocabulary, ... More
Using Brain Connectivity Measure of EEG Synchrostates for Discriminating Typical and Autism Spectrum DisorderNov 29 2016In this paper we utilized the concept of stable phase synchronization topography - synchrostates - over the scalp derived from EEG recording for formulating brain connectivity network in Autism Spectrum Disorder (ASD) and typically-growing children. A ... More
Measuring and modeling the perception of natural and unconstrained gaze in humans and machinesNov 29 2016Humans are remarkably adept at interpreting the gaze direction of other individuals in their surroundings. This skill is at the core of the ability to engage in joint visual attention, which is essential for establishing social interactions. How accurate ... More
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave DataNov 29 2016Understanding how brain functions has been an intriguing topic for years. With the recent progress on collecting massive data and developing advanced technology, people have become interested in addressing the challenge of decoding brain wave data into ... More
Hierarchical neural representation of dream contents revealed by brain decoding with deep neural network featuresNov 29 2016Dreaming is generally thought to be generated by spontaneous brain activity during sleep with patterns common to waking experience. This view is supported by a recent study demonstrating that dreamed objects can be predicted from brain activity during ... More
Enhanced responsiveness in asynchronous irregular neuronal networksNov 28 2016Networks of excitatory and inhibitory neurons display asynchronous irregular (AI) states, where the activities of the two populations are balanced. At the single cell level, it was shown that neurons subject to balanced and noisy synaptic inputs can display ... More
Dynamical Responses to External Stimuli for Both Cases of Excitatory and Inhibitory Synchronization in A Complex Neuronal NetworkNov 28 2016For studying how dynamical responses to external stimuli depend on the synaptic-coupling type, we consider two types of excitatory and inhibitory synchronization (i.e., synchronization via synaptic excitation and inhibition) in complex small-world networks ... More
GnRH induced Phase Synchrony of Coupled NeuronsNov 27 2016Gonadotropin-releasing hormone (GnRH) is reported to control mammalian reproductive processes. GnRH a neurohormone which is pulsatile released into the pituitary portal blood by hypothalamic GnRH neurons. In the present study, the phase synchronization ... More
Polysemy Effects and Chronological MemoryNov 27 2016The existence of a polysemy effect in episodic memory is demonstrated through an analysis of data from the experiments of Lohnas et al. (2015) and Healey and Kahana (2016). Three word-length related features are reported: (1) the average distance between ... More
A Simple Model of Attentional BlinkNov 27 2016The attentional blink (AB) effect is the reduced ability of subjects to report a second target stimuli (T2) among a rapidly presented series of non-target stimuli, when it appears within a time window of about 200-500 ms after a first target (T1). We ... More
A neuro-mathematical model for geometrical optical illusionsNov 27 2016Geometrical optical illusions have been object of many studies due to the possibility they offer to understand the behaviour of low-level visual processing. They consist in situations in which the perceived geometrical properties of an object differ from ... More
Predicting the Category and Attributes of Mental Pictures Using Deep Gaze PoolingNov 27 2016Previous work focused on predicting visual search targets from human fixations but, in the real world, a specific target is often not known, e.g. when searching for a present for a friend. In this work we instead study the problem of predicting the mental ... More
Functional Alignment with Anatomical Networks is Associated with Cognitive FlexibilityNov 26 2016Cognitive flexibility describes the human ability to switch between modes of mental function to achieve goals. Mental switching is accompanied by transient changes in brain activity, which must occur atop an anatomical architecture that bridges disparate ... More
White matter deficits underlie the loss of consciousness level and predict recovery outcome in disorders of consciousnessNov 24 2016This study aimed to identify white matter (WM) deficits underlying the loss of consciousness in disorder of consciousness (DOC) patients using Diffusion Tensor Imaging (DTI) and to demonstrate the potential value of DTI parameters in predicting recovery ... More
Towards a new quantum cognition modelNov 23 2016This article presents a new quantum-like model for cognition explicitly based on knowledge. It is shown that this model, called QKT (quantum knowledge-based theory), is able to coherently describe some experimental results that are problematic for the ... More
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer InterfacesNov 23 2016Objective: Brain-Computer Interface technologies (BCI) enable the direct communication between humans and computers by analyzing brain measurements, such as electroencephalography (EEG). These technologies have been applied to a variety of domains, including ... More
Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: comparison and implementationNov 23 2016The spiking activity of single neurons can be well described by a nonlinear integrate-and-fire model that includes somatic adaptation. When exposed to fluctuating inputs sparsely coupled populations of these model neurons exhibit stochastic collective ... More
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous AnnotationNov 23 2016A major challenge in neuroimaging is understanding the mapping of neurophysiological dynamics onto cognitive functions. Traditionally, these maps have been constructed by examining changes in the activity magnitude of regions related to task performance. ... More
Visual motion processing and human tracking behaviorNov 23 2016The accurate visual tracking of a moving object is a human fundamental skill that allows to reduce the relative slip and instability of the object's image on the retina, thus granting a stable, high-quality vision. In order to optimize tracking performance ... More
A statistical method for analyzing and comparing spatiotemporal cortical activation patternsNov 23 2016We present a new statistical method to analyze multichannel steady-state local field potentials (LFP) recorded within different sensory cortices of different rodent species. Our spatiotemporal multi-dimensional cluster statistics (MCS) method enables ... More
Derivation of human chromatic discrimination ability from an information-theoretical notion of distance in color spaceNov 22 2016The accuracy with which humans can detect small chromatic differences varies throughout color space. For example, we are far more precise when discriminating two similar orange stimuli than two similar green stimuli. In order for two colors to be perceived ... More
Object detection can be improved using human-derived contextual expectationsNov 22 2016Each object in the world occurs in a specific context: cars are seen on highways but not in forests. Contextual information is generally thought to facilitate computation by constraining locations to search. But can knowing context yield tangible benefits ... More
RhoanaNet Pipeline: Dense Automatic Neural AnnotationNov 21 2016Reconstructing a synaptic wiring diagram, or connectome, from electron microscopy (EM) images of brain tissue currently requires many hours of manual annotation or proofreading (Kasthuri and Lichtman, 2010; Lichtman and Sanes, 2008; Seung, 2009). The ... More
Using inspiration from synaptic plasticity rules to optimize traffic flow in distributed engineered networksNov 21 2016Controlling the flow and routing of data is a fundamental problem in many distributed networks, including transportation systems, integrated circuits, and the Internet. In the brain, synaptic plasticity rules have been discovered that regulate network ... More
A statistical model for brain networks inferred from large-scale electrophysiological signalsNov 21 2016Network science has been extensively developed to characterize structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of the inference process, networks estimated from experimentally obtained biological ... More
A statistical model for brain networks inferred from large-scale electrophysiological signalsNov 21 2016Nov 22 2016Network science has been extensively developed to characterize structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of the inference process, networks estimated from experimentally obtained biological ... More
A statistical model for brain networks inferred from large-scale electrophysiological signalsNov 21 2016Nov 23 2016Network science has been extensively developed to characterize structural properties of complex systems, including brain networks inferred from neuroimaging data. As a result of the inference process, networks estimated from experimentally obtained biological ... More
Differential response of the retinal neural code with respect to the sparseness of natural imagesNov 21 2016Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. To investigate the role of ... More
Rhythms of the collective brain: Metastable synchronization and cross-scale interactions in connected multitudesNov 21 2016Collective social events operate at many levels of organization -- from individuals to crowds -- presenting a variety of temporal and spatial scales of activity, whose causal interactions challenge our understanding of social systems. Large data sets ... More
An Empirical Study of Continuous Connectivity Degree Sequence EquivalentsNov 18 2016In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes. This model produces for each subject a continuous bivariate intensity function that represents for every possible pair of points the ... More
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based exampleNov 18 2016Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is challenging for complex multi-faceted neuropatholo-gies, such as autism ... More
Morphology of Fly Larval Class IV Dendrites Accords with a Random Branching and Contact Based Branch Deletion ModelNov 17 2016Dendrites are branched neuronal processes that receive input signals from other neurons or the outside world [1]. To maintain connectivity as the organism grows, dendrites must also continue to grow. For example, the dendrites in the peripheral nervous ... More
Chimera states in uncoupled neurons induced by a multilayer structureNov 17 2016Spatial coexistence of coherent and incoherent dynamics in network of coupled oscillators is called a chimera state. We study such chimera states in a network of neurons without any direct interactions but connected through another medium of neurons, ... More
Evolving Network Model that Almost Regenerates Epileptic DataNov 17 2016In many realistic networks, the edges representing the interactions between the nodes are time-varying. There is growing evidence that the complex network that models the dynamics of the human brain has time-varying interconnections, i.e., the network ... More
Mapping brain activity with flexible graphene micro-transistorsNov 17 2016Establishing a reliable communication interface between the brain and electronic devices is of paramount importance for exploiting the full potential of neural prostheses. Current microelectrode technologies for recording electrical activity, however, ... More
Probabilistic Fluorescence-Based Synapse DetectionNov 16 2016Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing protein products of hundreds of different genes, some in hundreds of copies, ... More
Bridging the Gap between Individuality and Joint Improvisation in the Mirror GameNov 16 2016Extensive experiments in Human Movement Science suggest that solo motions are characterized by unique features that define the individuality or motor signature of people. While interacting with others, humans tend to spontaneously coordinate their movement ... More
Positive Feedback and Synchronized Bursts in Neuronal CulturesNov 16 2016Synchronized bursts (SBs) with complex structures are common in neuronal cultures. Although the origin of SBs is still unclear, they have been studied for their information processing capabilities. Here, we investigate the properties of these SBs in a ... More
Energy landscape analysis of neuroimaging dataNov 16 2016Computational neuroscience models have been used for understanding neural dynamics in the brain and how they may be altered when physiological or other conditions change. We review and develop a data-driven approach to neuroimaging data called the energy ... More
Neural stochastic codes, encoding and decodingNov 15 2016Identifying informative aspects of brain activity has traditionally been thought to provide insight into how brains may perform optimal computations. However, here we show that this need not be the case when studying spike-time precision or response discrimination, ... More
The Role of Word Length in Semantic TopologyNov 15 2016A topological argument is presented concering the structure of semantic space, based on the negative correlation between polysemy and word length. The resulting graph structure is applied to the modeling of free-recall experiments, resulting in predictions ... More
Nonreproducible connectome changes hint at functional heterogeneity of Parkinson's DiseaseNov 15 2016Since anatomic MRI is presently not able to directly discern neuronal loss in Parkinson's Disease (PD), studying the associated functional connectivity (FC) changes seems a promising approach toward developing non-invasive and non-radioactive neuroimaging ... More