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Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Both excitatory and inhibitory neurons transiently form clusters at the outermost region of the developing mammalian cerebral neocortex
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Analysis of Parallel Spike Trains
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Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains
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Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick
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Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons
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Properties of visual cue responses in primate precentral cortex
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Parallel movement planning is achieved via an optimal preparatory state in motor cortex
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Probabilistic vs. non-probabilistic approaches to the neurobiology of perceptual decision-making
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Variability in neural activity and behavior
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Cortical computations via metastable activity
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NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
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Measurement of variability dynamics in cortical spike trains
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Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
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Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action
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Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations
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Variance as a Signature of Neural Computations during Decision Making
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Dense Inhibitory Connectivity in Neocortex
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Single-Trial Neural Correlates of Arm Movement Preparation
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How Inhibition Shapes Cortical Activity
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The Basal Ganglia’s Contributions to Perceptual Decision Making
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Parvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells
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Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements
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Cortical and Subcortical Contributions to Short-Term Memory for Orienting Movements
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Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response
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The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability
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Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data
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Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning
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Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model
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Metastable attractors explain the variable timing of stable behavioral action sequences
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Functional specificity of recurrent inhibition in visual cortex
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Single-trial estimation of neuronal firing rates: From single-neuron spike trains to population activity
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Synchrony and frequency regulation by synaptic delay in networks of self-inhibiting neurons
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Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
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Neuronal correlates of sensorimotor association in stimulus-response compatibility.
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Neural organization for the long-term memory of paired associates
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Input synchrony and the irregular firing of cortical neurons
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Topography and synaptic shaping of direction selectivity in primary auditory cortex
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Spontaneously emerging cortical representations of visual attributes
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Equalizing excitation–inhibition ratios across visual cortical neurons
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Negative magnetoresistance without well-defined chirality in the Weyl semimetal TaP
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Reorganization between preparatory and movement population responses in motor cortex
inferredcites →https://doi.org/10.1038/ncomms13249openalex-snapshot
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology
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Formation and maintenance of neuronal assemblies through synaptic plasticity
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Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
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Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities
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Fractional differentiation by neocortical pyramidal neurons
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Stimulus onset quenches neural variability: a widespread cortical phenomenon
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Slow dynamics and high variability in balanced cortical networks with clustered connections
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Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons
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A neural network that finds a naturalistic solution for the production of muscle activity
inferredcites →https://doi.org/10.1038/s41586-019-0919-7openalex-snapshot
Discrete attractor dynamics underlies persistent activity in the frontal cortex
inferredcites →https://doi.org/10.1038/s41593-018-0143-zopenalex-snapshot
Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex
inferredcites →https://doi.org/10.1038/s41593-018-0226-xopenalex-snapshot
Inhibitory connectivity defines the realm of excitatory plasticity
inferredcites →https://doi.org/10.1038/s41593-019-0364-9openalex-snapshot
Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli
inferredcites →https://doi.org/10.1038/s41593-020-00776-3openalex-snapshot
Targeted photostimulation uncovers circuit motifs supporting short-term memory
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Attractor dynamics gate cortical information flow during decision-making
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Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex
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Preshaping and continuous evolution of motor cortical representations during movement preparation
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A synaptic organizing principle for cortical neuronal groups
inferredcites →https://doi.org/10.1073/pnas.1705841114openalex-snapshot
Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity
inferredcites →https://doi.org/10.1073/pnas.1918368117openalex-snapshot
Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1093/cercor/7.3.237openalex-snapshot
Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
inferredcites →https://doi.org/10.1093/cercor/bhx276openalex-snapshot
Segregated Excitatory–Inhibitory Recurrent Subnetworks in Layer 5 of the Rat Frontal Cortex
inferredcites →https://doi.org/10.1101/294835openalex-snapshot
Functional selectivity and specific connectivity of inhibitory neurons in primary visual cortex
inferredcites →https://doi.org/10.1103/physreve.83.050905openalex-snapshot
Adaptation reduces variability of the neuronal population code
inferredcites →https://doi.org/10.1109/cne.2003.1196800openalex-snapshot
Embedding living neurons into simulated neural networks
inferredcites →https://doi.org/10.1126/science.1108905openalex-snapshot
Attractor Dynamics in the Hippocampal Representation of the Local Environment
inferredcites →https://doi.org/10.1126/science.1195870openalex-snapshot
Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment
inferredcites →https://doi.org/10.1126/science.1211095openalex-snapshot
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
inferredcites →https://doi.org/10.1126/science.274.5293.1724openalex-snapshot
Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity
inferredcites →https://doi.org/10.1146/annurev-neuro-062111-150351openalex-snapshot
Attractor Dynamics of Spatially Correlated Neural Activity in the Limbic System
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Plasticity of Cortical Excitatory-Inhibitory Balance
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Inhibitory Plasticity: Balance, Control, and Codependence
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The Neural Basis of Decision Making
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Subthreshold Membrane-Potential Resonances Shape Spike-Train Patterns in the Entorhinal Cortex
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Monkey primary motor and premotor cortex: single-cell activity related to prior information about direction and extent of an intended movement
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Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons
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Orientation Tuning of Input Conductance, Excitation, and Inhibition in Cat Primary Visual Cortex
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Spike Frequency Adaptation and Neocortical Rhythms
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The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks
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A Universal Model for Spike-Frequency Adaptation
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An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data
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Chaotic Balanced State in a Model of Cortical Circuits
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Spike-Timing-Dependent Plasticity in Balanced Random Networks
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The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
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Fractal character of the neural spike train in the visual system of the cat
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How Structure Determines Correlations in Neuronal Networks
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Neural Network Mechanisms Underlying Stimulus Driven Variability Reduction
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Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses
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Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow
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Epigenetic cell memory: The gene’s inner chromatin modification circuit
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The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type
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On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex
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Similarity in Neuronal Firing Regimes across Mammalian Species
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Postsynaptic Variability of Firing in Rat Cortical Neurons: The Roles of Input Synchronization and Synaptic NMDA Receptor Conductance
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Negative Interspike Interval Correlations Increase the Neuronal Capacity for Encoding Time-Dependent Stimuli
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Dense, Unspecific Connectivity of Neocortical Parvalbumin-Positive Interneurons: A Canonical Microcircuit for Inhibition?
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Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation
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Dynamics of Multistable States during Ongoing and Evoked Cortical Activity
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Dynamic Encoding of Movement Direction in Motor Cortical Neurons
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Dynamics of Cortical Neuronal Ensembles Transit from Decision Making to Storage for Later Report
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The Organization of Behavior; A Neuropsychological Theory
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Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex
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Excitatory, Inhibitory, and Structural Plasticity Produce Correlated Connectivity in Random Networks Trained to Solve Paired-Stimulus Tasks
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Balanced neural architecture and the idling brain
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Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
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Neural representation of calling songs and their behavioral relevance in the grasshopper auditory system
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Spike Frequency Adaptation in Neurons of the Central Nervous System
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Vacillation, indecision and hesitation in moment-by-moment decoding of monkey motor cortex
inferredcites →https://doi.org/10.7554/elife.65459openalex-snapshot
Spike frequency adaptation supports network computations on temporally dispersed information
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Neural mechanisms underlying the temporal organization of naturalistic animal behavior
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region
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Role of interneuron subtypes in controlling trial-by-trial output variability in the neocortex
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Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
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State-dependent regulation of cortical processing speed via gain modulation
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Predicting perturbation effects from resting activity using functional causal flow
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Microscopic theory of intrinsic timescales in spiking neural networks
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Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics
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Evaluating parameter tuning and real-time closed-loop simulation of large scale spiking networks before mapping to neuromorphic hardware: Comparing GeNN and NEST
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Interspike interval correlations in neuron models with adaptation and correlated noise
inferred← citeshttps://doi.org/10.1523/jneurosci.1895-20.2021openalex-snapshot
State-Dependent Regulation of Cortical Processing Speed via Gain Modulation
inferred← citeshttps://doi.org/10.3389/fncom.2021.543872openalex-snapshot
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks
inferred← citeshttps://doi.org/10.3389/fninf.2023.941696openalex-snapshot
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST
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Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s disease
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Linking cortex and contraction—Integrating models along the corticomuscular pathway
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The generation of cortical novelty responses through inhibitory plasticity
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Neural mechanisms underlying the temporal organization of naturalistic animal behavior
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