NDLI: Channel identification machines for multidimensional receptive fields

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Year: 2016, Volume: 10

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Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks

Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity

Sparse short-distance connections enhance calcium wave propagation in a 3D model of astrocyte networks

Do rational numbers play a role in selection for stochasticity?

Structured chaos shapes spike-response noise entropy in balanced neural networks

Synchrony analysis: application in early diagnosis, staging and prognosis of multiple sclerosis

Data and model tango to aid the understanding of astrocyte-neuron signaling

Resolution of interaural time differences in the avian sound localization circuit—a modeling study

Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity

Identifying endophenotypes of autism: a multivariate approach

Spinal circuits can accommodate interaction torques during multijoint limb movements

Coordinated reset stimulation in a large-scale model of the STN-GPe circuit

Dimensionality of joint torques and muscle patterns for reaching

Current approaches to model extracellular electrical neural microstimulation

Signal-independent timescale analysis (SITA) and its application for neural coding during reaching and walking

Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations

Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex

Effects of antidromic and orthodromic activation of STN afferent axons during DBS in Parkinson's disease: a simulation study

Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity

Towards an understanding of the roles of visual areas MT and MST in computing speed

Correlated neuronal activity and its relationship to coding, dynamics and network architecture

Cross-matching: a modified cross-correlation underlying threshold energy model and match-based depth perception

Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses

Structure learning and the Occam's razor principle: a new view of human function acquisition

Intracellular calcium dynamics permit a Purkinje neuron model to perform toggle and gain computations upon its inputs

A novel computational framework for deducing muscle synergies from experimental joint moments

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

Synergetic motor control paradigm for optimizing energy efficiency of multijoint reaching via tacit learning

When do microcircuits produce beyond-pairwise correlations?

A modular theory of multisensory integration for motor control

Modeling the shape hierarchy for visually guided grasping

Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb

Chunking dynamics: heteroclinics in mind

Mini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertainty

Influence of extracellular oscillations on neural communication: a computational perspective

A non-linear dynamical approach to belief revision in cognitive behavioral therapy

Sensing risk, fearing uncertainty: systems science approach to change

Spike-timing prediction in cortical neurons with active dendrites

Long-term plasticity determines the postsynaptic response to correlated afferents with multivesicular short-term synaptic depression

Philosophical reflections on therapeutic brain stimulation

Heterogeneity of heterogeneities in neuronal networks

Why vision is not both hierarchical and feedforward

Structure of receptive fields in a computational model of area 3b of primary sensory cortex

Task constraints and minimization of muscle effort result in a small number of muscle synergies during gait

Energy distribution property and energy coding of a structural neural network

The importance of visual features in generic vs. specialized object recognition: a computational study

Optimal attentional modulation of a neural population

A novel analytical characterization for short-term plasticity parameters in spiking neural networks

The dendritic location of the L-type current and its deactivation by the somatic AHP current both contribute to firing bistability in motoneurons

Combining segmentation and attention: a new foveal attention model

Diffusion approximation-based simulation of stochastic ion channels: which method to use?

A biologically plausible learning rule for the Infomax on recurrent neural networks

Neural masses and fields: modeling the dynamics of brain activity

Population coding in mouse visual cortex: response reliability and dissociability of stimulus tuning and noise correlation

Properties of artificial neurons that report lightness based on accumulated experience with luminance

Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise

Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory

Feature integration and object representations along the dorsal stream visual hierarchy

Unveiling complexity: non-linear and fractal analysis in neuroscience and cognitive psychology

Stochastic variational learning in recurrent spiking networks

A Markov model for the temporal dynamics of balanced random networks of finite size

Neuromodulation impact on nonlinear firing behavior of a reduced model motoneuron with the active dendrite

Dynamic stability of sequential stimulus representations in adapting neuronal networks

Modeling studies for designing transcranial direct current stimulation protocol in Alzheimer's disease

Differing effects of attention in single-units and populations are well predicted by heterogeneous tuning and the normalization model of attention

Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease

Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach

A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition

Word length effect in free recall of randomly assembled word lists

Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types

T-type calcium channels promote predictive homeostasis of input-output relations in thalamocortical neurons of lateral geniculate nucleus

Bayesian deterministic decision making: a normative account of the operant matching law and heavy-tailed reward history dependency of choices

The proactive brain and the fate of dead hypotheses

The hypothetical cost-conflict monitor: is it a possible trigger for conflict-driven control mechanisms in the human brain?

How to evaluate an agent's behavior to infrequent events?—Reliable performance estimation insensitive to class distribution

Macroscopic complexity from an autonomous network of networks of theta neurons

Brain circuits underlying visual stability across eye movements—converging evidence for a neuro-computational model of area LIP

Associative learning of classical conditioning as an emergent property of spatially extended spiking neural circuits with synaptic plasticity

Modulation of orientation-selective neurons by motion: when additive, when multiplicative?

Exploration of complex visual feature spaces for object perception

Compensating for thalamocortical synaptic loss in Alzheimer's disease

Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state

Kinematic primitives for walking and trotting gaits of a quadruped robot with compliant legs

Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity

Statistical network analysis for functional MRI: summary networks and group comparisons

Directed Transfer Function is not influenced by volume conduction—inexpedient pre-processing should be avoided

Sparsey™: event recognition via deep hierarchical sparse distributed codes

Computational study of NMDA conductance and cortical oscillations in schizophrenia

Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models

The neuronal response at extended timescales: a linearized spiking input–output relation

Complex cells decrease errors for the Müller-Lyer illusion in a model of the visual ventral stream

Bifurcation analysis of “synchronization fluctuation”: a diagnostic measure of brain epileptic states

A conceptual framework of computations in mid-level vision

OpenWorm: an open-science approach to modeling Caenorhabditis elegans

Balanced neural architecture and the idling brain

Robust development of synfire chains from multiple plasticity mechanisms

Using science and psychology to improve the dissemination and evaluation of scientific work

Learning modular policies for robotics

Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses

Differential effects of excitatory and inhibitory heterogeneity on the gain and asynchronous state of sparse cortical networks

Model reduction of strong-weak neurons

Saccade learning with concurrent cortical and subcortical basal ganglia loops

Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models

The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models

Object recognition with hierarchical discriminant saliency networks

A neuromorphic system for video object recognition

Astronomical apology for fractal analysis: spectroscopy's place in the cognitive neurosciences

Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network

Finding minimal action sequences with a simple evaluation of actions

Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network

The ISI distribution of the stochastic Hodgkin-Huxley neuron

Spike-timing control by dendritic plateau potentials in the presence of synaptic barrages

Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe

Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise

Linear stability in networks of pulse-coupled neurons

A hypothesis on the role of perturbation size on the human sensorimotor adaptation

Do muscle synergies reduce the dimensionality of behavior?

A high-capacity model for one shot association learning in the brain

Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays

Bayesian networks in neuroscience: a survey

Energy demands of diverse spiking cells from the neocortex, hippocampus, and thalamus

TMS-induced neural noise in sensory cortex interferes with short-term memory storage in prefrontal cortex

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Temporal precision in population—but not individual neuron—dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex

Membrane current series monitoring: essential reduction of data points to finite number of stable parameters

An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning

Channel identification machines for multidimensional receptive fields

Feedforward object-vision models only tolerate small image variations compared to human

A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data

Emergence of task-dependent representations in working memory circuits

Spike-timing computation properties of a feed-forward neural network model

The meaning of spikes from the neuron’s point of view: predictive homeostasis generates the appearance of randomness

A computational paradigm for dynamic logic-gates in neuronal activity

Effective force control by muscle synergies

Liquid computing on and off the edge of chaos with a striatal microcircuit

Hierarchical representation of shapes in visual cortex—from localized features to figural shape segregation

Finding and recognizing objects in natural scenes: complementary computations in the dorsal and ventral visual systems

A general role for medial prefrontal cortex in event prediction

Year: 2014, Volume: 7

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