Konrad Körding

Q: What Schools Are Affiliated With Konrad Körding

Konrad Körding is affiliated with the following schools: Northwestern University , University College London, ETH Zurich, Northwestern University, University of Tübingen, University of California, San Francisco, University of Pennsylvania

Konrad Körding's AcademicInfluence.com Rankings

Konrad Körding

Biology

#7719

World Rank

#10681

Historical Rank

Neuroscience

#1026

World Rank

#1068

Historical Rank

biology Degrees

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Biology

Konrad Körding's Degrees

PhD Physics University of Tübingen

Why Is Konrad Körding Influential?

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According to Wikipedia, Konrad Paul Körding is a German neuroscience professor at the University of Pennsylvania and co-founder of Neuromatch. He is known for his contributions to the fields of motor control, neural data methods, and computational neuroscience, as well as his advocacy and contribution to open science and scientific rigor.

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Konrad Körding's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Bayesian integration in sensorimotor learning (2004) (1801)
Causal Inference in Multisensory Perception (2007) (831)
Bayesian decision theory in sensorimotor control (2006) (786)
Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015) (547)
A deep learning framework for neuroscience (2019) (509)
How advances in neural recording affect data analysis (2011) (506)
Toward an Integration of Deep Learning and Neuroscience (2016) (495)
The dynamics of memory as a consequence of optimal adaptation to a changing body (2007) (407)
Tackling Climate Change with Machine Learning (2019) (406)
Over my fake body: body ownership illusions for studying the multisensory basis of own-body perception (2015) (348)
Relevance of error: what drives motor adaptation? (2009) (343)
Estimating the sources of motor errors for adaptation and generalization (2008) (284)
The statistics of natural hand movements (2008) (274)
Decision Theory: What "Should" the Nervous System Do? (2007) (230)
The relationship between mobile phone location sensor data and depressive symptom severity (2016) (224)
Future impact: Predicting scientific success (2012) (222)
Could a Neuroscientist Understand a Microprocessor? (2016) (207)
Fall Classification by Machine Learning Using Mobile Phones (2012) (197)
Sensory Cue Integration (2011) (193)
Physical principles for scalable neural recording (2013) (193)
The loss function of sensorimotor learning. (2004) (193)
Bayesian models: the structure of the world, uncertainty, behavior, and the brain (2011) (193)
Uncertainty of Feedback and State Estimation Determines the Speed of Motor Adaptation (2009) (184)
Unsupervised Topic Modelling for Multi-Party Spoken Discourse (2006) (175)
The need to approximate the use-case in clinical machine learning (2017) (159)
Machine Learning for Neural Decoding (2017) (150)
Bayesian integration in force estimation. (2004) (139)
Inferring functional connections between neurons (2008) (137)
Processing of complex stimuli and natural scenes in the visual cortex (2004) (132)
Differential Representations of Prior and Likelihood Uncertainty in the Human Brain (2012) (129)
Learning Priors for Bayesian Computations in the Nervous System (2010) (129)
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets (2020) (124)
Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease (2013) (123)
How are complex cell properties adapted to the statistics of natural stimuli? (2004) (121)
The world from a cat’s perspective – statistics of natural videos (2003) (117)
Bayesian Inference of Functional Connectivity and Network Structure From Spikes (2009) (112)
Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions (2004) (111)
Using Mobile Phones for Activity Recognition in Parkinson’s Patients (2012) (109)
Using and understanding cross-validation strategies. Perspectives on Saeb et al. (2017) (104)
Learning the invariance properties of complex cells from their responses to natural stimuli (2002) (102)
Decision Theory: What "Should" the Nervous System Do? (2007) (101)
Statistics of Natural Movements Are Reflected in Motor Errors (2009) (96)
Temporal Integration of Olfactory Perceptual Evidence in Human Orbitofrontal Cortex (2012) (94)
Rewiring Neural Interactions by Micro-Stimulation (2010) (92)
A high-reproducibility and high-accuracy method for automated topic classification (2014) (90)
Hand, belt, pocket or bag: Practical activity tracking with mobile phones (2014) (88)
Learning with two sites of synaptic integration (2000) (87)
Machine learning to detect signatures of disease in liquid biopsies - a user's guide. (2018) (87)
Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications (2016) (84)
Sparse Spectrotemporal Coding of Sounds (2003) (84)
Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety (2017) (83)
Serotonin Affects Movement Gain Control in the Spinal Cord (2014) (80)
Measuring and regularizing networks in function space (2018) (79)
Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning (2013) (79)
The roles of supervised machine learning in systems neuroscience (2018) (78)
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells (2001) (76)
Supervised and Unsupervised Learning with Two Sites of Synaptic Integration (2001) (76)
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography (2016) (75)
Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing. (2019) (73)
Towards an integration of deep learning and neuroscience (2016) (73)
Chunking as the result of an efficiency computation trade-off (2016) (72)
Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test (2012) (70)
Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects (2011) (67)
Quasi-experimental causality in neuroscience and behavioural research (2018) (67)
Statistical assessment of the stability of neural movement representations. (2011) (66)
The Statistical Determinants of the Speed of Motor Learning (2016) (66)
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons (2012) (64)
Premotor and Motor Cortices Encode Reward (2016) (63)
Pain: A Statistical Account (2017) (61)
A Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control (2004) (59)
Automatic discovery of cell types and microcircuitry from neural connectomics (2014) (58)
Improving on legacy conferences by moving online (2020) (57)
Comparing Bayesian models for multisensory cue combination without mandatory integration (2007) (55)
Bayesian approaches to sensory integration for motor control. (2011) (54)
Self versus Environment Motion in Postural Control (2010) (53)
Saliency and saccade encoding in the frontal eye field during natural scene search. (2014) (52)
Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing (2012) (52)
Single reach plans in dorsal premotor cortex during a two-target task (2018) (50)
Reverse-engineering deep ReLU networks (2019) (48)
Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task (2009) (48)
Movement science needs different pose tracking algorithms (2019) (47)
Ten simple rules for structuring papers (2016) (47)
The relationship between clinical, momentary, and sensor-based assessment of depression (2015) (47)
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting (2017) (47)
Meaningless comparisons lead to false optimism in medical machine learning (2017) (46)
Modern Machine Learning as a Benchmark for Fitting Neural Responses (2018) (46)
Using psychophysics to ask if the brain samples or maximizes. (2015) (46)
A cryptography-based approach for movement decoding (2017) (42)
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery (2016) (42)
Bayesian statistics: relevant for the brain? (2014) (41)
Relationship Between Sleep Quality and Mood: Ecological Momentary Assessment Study (2019) (41)
Computer vision to automatically assess infant neuromotor risk (2019) (41)
Multifaceted aspects of chunking enable robust algorithms. (2014) (40)
Population coding of conditional probability distributions in dorsal premotor cortex (2017) (39)
Hierarchical Bayesian modeling and Markov chain Monte Carlo sampling for tuning-curve analysis. (2010) (39)
Voodoo Machine Learning for Clinical Predictions (2016) (39)
Causal mapping of human brain function (2022) (38)
What does it mean to understand a neural network? (2019) (37)
The sociology of scientific validity: How professional networks shape judgement in peer review (2018) (36)
Learning to solve the credit assignment problem (2019) (36)
Role of expected reward in frontal eye field during natural scene search. (2016) (35)
Motion games improve balance control in stroke survivors: A preliminary study based on the principle of constraint-induced movement therapy (2013) (35)
Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles (2017) (35)
Saccadic suppression as a perceptual consequence of efficient sensorimotor estimation (2017) (34)
The nervous system uses nonspecific motor learning in response to random perturbations of varying nature. (2010) (34)
Causal inference in sensorimotor integration (2006) (34)
MoVi: A large multi-purpose human motion and video dataset (2020) (34)
The uncertainty associated with visual flow fields and their influence on postural sway: Weber's law suffices to explain the nonlinearity of vection. (2010) (33)
Does EMG control lead to distinct motor adaptation? (2014) (33)
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications (2017) (33)
Neurons with Two Sites of Synaptic Integration Learn Invariant Representations (2001) (32)
Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise (2017) (31)
Linear-nonlinear-time-warp-poisson models of neural activity (2018) (31)
How much to trust the senses: likelihood learning. (2014) (31)
Learning the Nonlinearity of Neurons from Natural Visual Stimuli (2003) (31)
A learning rule for dynamic recruitment and decorrelation (2000) (30)
A muscle-activity-dependent gain between motor cortex and EMG. (2019) (29)
Uncertainty leads to persistent effects on reach representations in dorsal premotor cortex (2016) (29)
The lure of causal statements: Rampant mis-inference of causality in estimated connectivity (2018) (28)
Using noise to shape motor learning. (2017) (28)
Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics (2014) (27)
Deep networks for motor control functions (2015) (27)
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets (2019) (26)
Bioscience-scale automated detection of figure element reuse (2018) (26)
Real-Time Evaluation of a Noninvasive Neuroprosthetic Interface for Control of Reach (2013) (25)
Learning of sparse auditory receptive fields (2002) (25)
Spike-based causal inference for weight alignment (2019) (25)
Spectral Weighting Underlies Perceived Sound Elevation (2019) (25)
Feature-based attention and spatial selection in frontal eye fields during natural scene search. (2016) (25)
EMG Versus Torque Control of Human–Machine Systems: Equalizing Control Signal Variability Does not Equalize Error or Uncertainty (2017) (25)
Credit Assignment during Movement Reinforcement Learning (2013) (25)
Behavioral tracking gets real (2018) (24)
The Generalization of Prior Uncertainty during Reaching (2014) (24)
Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones (2013) (24)
Of Toasters and Molecular Ticker Tapes (2011) (24)
Modern machine learning outperforms GLMs at predicting spikes (2017) (23)
The Social Structure of Consensus in Scientific Review (2018) (23)
Predicting Cognitive Function from Clinical Measures of Physical Function and Health Status in Older Adults (2015) (23)
Statistical Analysis of Molecular Signal Recording (2013) (23)
Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain (2010) (21)
A Probabilistic Model of Meetings That Combines Words and Discourse Features (2008) (21)
Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches (2012) (21)
Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline (2018) (21)
Web-Based Assessment of Outcomes After Subarachnoid and Intracerebral Hemorrhage: A New Patient Centered Option for Outcomes Assessment (2015) (21)
On the Similarity of Functional Connectivity between Neurons Estimated across Timescales (2010) (20)
Exploration and Exploitation During Sequential Search (2009) (20)
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? (2021) (20)
Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset (2020) (20)
Measuring Generalization of Visuomotor Perturbations in Wrist Movements Using Mobile Phones (2011) (19)
Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study (2021) (19)
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning (2019) (19)
Pose estimates from online videos show that side-by-side walkers synchronize movement under naturalistic conditions (2019) (19)
Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study (2016) (18)
Dopaminergic Medication Increases Reliance on Current Information in Parkinson’s Disease (2017) (18)
Self-Expressive Decompositions for Matrix Approximation and Clustering (2015) (18)
Activity recognition in patients with lower limb impairments: Do we need training data from each patient? (2016) (18)
Generalization of Stochastic Visuomotor Rotations (2012) (18)
Computer Use Changes Generalization of Movement Learning (2014) (17)
Conneconomics: The Economics of Large-Scale Neural Connectomics (2013) (17)
Neural coordination during reach-to-grasp. (2015) (17)
Optimal Coding for Naturally Occurring Whisker Deflections (2003) (16)
Quantifying causality in data science with quasi-experiments (2021) (16)
Inferring spike-timing-dependent plasticity from spike train data (2011) (16)
The effects of training breadth on motor generalization. (2014) (16)
The Development and Analysis of Integrated Neuroscience Data (2016) (16)
The lure of misleading causal statements in functional connectivity research. (2020) (16)
The development of Bayesian integration in sensorimotor estimation (2017) (16)
Smartwatches Can Detect Walker and Cane Use in Older Adults (2019) (16)
High-resolution mapping of DNA polymerase fidelity using nucleotide imbalances and next-generation sequencing (2018) (15)
The Database for Reaching Experiments and Models (2013) (15)
Limiting motor skill knowledge via incidental training protects against choking under pressure (2019) (15)
Comparing high-dimensional neural recordings by aligning their low-dimensional latent representations (2022) (15)
Pyglmnet: Python implementation of elastic-net regularized generalized linear models (2020) (15)
An Examination of the Generalizability of Motor Costs (2013) (14)
Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility (2020) (14)
Can Single Neurons Solve MNIST? The Computational Power of Biological Dendritic Trees (2020) (14)
Spiking allows neurons to estimate their causal effect (2018) (14)
Non-contact eye-tracking on cats (2001) (14)
Trust and Reciprocity: Are Effort and Money Equivalent? (2011) (13)
DNA binding strength increases the processivity and activity of a Y-Family DNA polymerase (2017) (13)
Predicting Properties of the Rat Somatosensory System by Sparse Coding (2004) (13)
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity (2020) (13)
Appreciating the variety of goals in computational neuroscience. (2020) (12)
Quantifying How Staining Methods Bias Measurements of Neuron Morphologies (2019) (12)
Identifying Weights and Architectures of Unknown ReLU Networks (2019) (11)
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation (2018) (11)
Grand Challenges for Global Brain Sciences (2016) (11)
Causal Inference in Sensorimotor Learning and Control (2012) (11)
The relationship between text message sentiment and self-reported depression. (2021) (11)
Mixture of time-warped trajectory models for movement decoding (2010) (11)
A How-to-Model Guide for Neuroscience (2020) (11)
A Philosophical Understanding of Representation for Neuroscience (2021) (11)
In Praise of “False” Models and Rich Data (2010) (11)
Spatial information in large-scale neural recordings (2014) (10)
Generalization of unconstrained reaching with hand-weight changes. (2013) (10)
Structural inference affects depth perception in the context of potential occlusion (2009) (10)
Visual-haptic cue integration with spatial and temporal disparity during pointing movements (2011) (10)
Combining transcranial magnetic stimulation with functional magnetic resonance imaging for probing and modulating neural circuits relevant to affective disorders. (2021) (10)
Shared visual illusions between humans and artificial neural networks (2019) (10)
Sensor-fault tolerant control of a powered lower limb prosthesis by mixing mode-specific adaptive Kalman filters (2011) (10)
Learning Distinct and Complementary Feature Selectivities from Natural Colour Videos (2003) (10)
Conneconomics: The Economics of Dense, Large-Scale, High-Resolution Neural Connectomics (2014) (10)
What Silly Postures Tell Us about the Brain (2012) (10)
Puzzle Imaging: Using Large-Scale Dimensionality Reduction Algorithms for Localization (2015) (9)
Multiple timescales and uncertainty in motor adaptation (2006) (9)
Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets (2019) (9)
Making Activity Recognition Robust against Deceptive Behavior (2015) (9)
Machine Learning and Surgical Outcomes Prediction: A Systematic Review. (2021) (9)
Scaling of Optogenetically Evoked Signaling in a Higher-Order Corticocortical Pathway in the Anesthetized Mouse (2018) (9)
Neural spiking for causal inference (2019) (9)
Appreciating diversity of goals in computational neuroscience (2018) (8)
Towards learning-to-learn (2018) (8)
Multimodal decoding and congruent sensory information enhance reaching performance in subjects with cervical spinal cord injury (2014) (8)
Policies or Knowledge: Priors differ between perceptual and sensorimotor tasks (2017) (8)
Towards Democratizing and Automating Online Conferences: Lessons from the Neuromatch Conferences (2021) (8)
Speed Constancy or Only Slowness: What Drives the Kappa Effect (2016) (8)
Credit assignment between body and object probed by an object transportation task (2017) (7)
Probabilistic mechanisms in sensorimotor control. (2008) (7)
Bayesian Statistics and Utility Functions in Sensorimotor Control (2006) (7)
The integration of probabilistic information during sensorimotor estimation is unimpaired in children with Cerebral Palsy (2017) (7)
Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects (2015) (7)
Real-time fusion of gaze and EMG for a reaching neuroprosthesis (2012) (7)
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course (2019) (7)
Three aspects of representation in neuroscience (2022) (6)
Of Toasters and Molecular Ticker Tapes (2011) (6)
On the Choice of a Sparse Prior (2003) (6)
Catalyzing next-generation Artificial Intelligence through NeuroAI (2023) (6)
Learning Multiple Feature Representations from Natural Image Sequences (2002) (6)
Sampling Neuron Morphologies (2018) (6)
Inferring causal connectivity from pairwise recordings and optogenetics (2018) (6)
Causal inference in Cue Combination (2007) (6)
A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls (2021) (6)
A spike based learning rule for generation of invariant representations (2000) (6)
Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning. (2018) (6)
Sensorimotor priors are effector-dependent. (2019) (6)
Determining posture from physiological tremor (2011) (6)
Hue tuning curves in V4 change with visual context (2019) (5)
From prior information to saccade selection: evolution of frontal eye field activity during natural scene search (2019) (5)
Probabilistic Inference in Human Sensorimotor Processing (2003) (5)
Regression discontinuity threshold optimization (2019) (5)
Do Biological Constraints Impair Dendritic Computation? (2021) (5)
A web-based automated machine learning platform to analyze liquid biopsy data. (2020) (5)
Object Based Attention Through Internal Gating (2021) (4)
Modeling peripheral visual acuity enables discovery of gaze strategies at multiple time scales during natural scene search. (2015) (4)
Dealing with noisy gaze information for a target-dependent neural decoder (2011) (4)
Modeling in Neuroscience as a Decision Process (2019) (4)
Exploiting skeletal structure in computer vision annotation with Benders decomposition (2017) (4)
The neuroconnectionist research programme (2022) (4)
Probabilistic models of cognition Bayesian decision theory in sensorimotor control (2006) (4)
Prospective Learning: Back to the Future (2022) (4)
Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis (2021) (4)
Quantifying the role of neurons for behavior is a mediation question (2019) (4)
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function (2012) (4)
Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes (2016) (4)
Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models (2017) (4)
Rate fluctuations not steps dominate LIP activity during decision-making (2018) (3)
On Functions Computed on Trees (2019) (3)
Machine Learning for Phone-Based Relationship Estimation (2019) (3)
Bayesian Models of Motor Control (2009) (3)
Clustering units in neural networks: upstream vs downstream information (2022) (3)
Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy (2019) (3)
Rarely-switching linear bandits: optimization of causal effects for the real world (2019) (3)
Author response: Automatic discovery of cell types and microcircuitry from neural connectomics (2015) (3)
Dealing with Target Uncertainty in a Reaching Control Interface (2014) (3)
Efficient Multi-Person Pose Estimation with Provable Guarantees (2017) (2)
Carrot or stick in motor learning (2015) (2)
Recording temporal data onto DNA with minutes resolution (2019) (2)
Probing the Effective Treatment Thresholds for Alteplase in Acute Ischemic Stroke With Regression Discontinuity Designs (2020) (2)
Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury (2017) (2)
Bayesball: Bayesian Integration in Professional Baseball Batters (2022) (2)
Augmenting Supervised Learning by Meta-learning Unsupervised Local Rules (2019) (2)
Predicting rhesus monkey eye movements during natural-image search (2017) (2)
"CatCam" Dataset [Biol. Cybern. 90(1):41-50] (2004) (2)
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications (2017) (2)
Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity (2019) (2)
Multi-faceted aspects of chunking enable robust algorithms 1 Running head : ALGORITHM FOR CHUNKING INFERENCE Multi-faceted aspects of chunking enable robust algorithms (2014) (2)
A Probabilistic Analysis of Muscle Force Uncertainty for Control (2016) (2)
Activity recognition in patients with lower limb impairments: do we need training data from each patient? (2016) (2)
Looking for synergies between the equilibrium point hypothesis and internal models. (2010) (2)
Quasi-experimental causality in neuroscience and behavioural research (2018) (2)
Smartphone sensor correlates of depressive symptom severity in daily-life behavior (2015) (1)
COVID-19 pandemic: every day feels like a weekday to most (2020) (1)
Efficient neural codes naturally emerge through gradient descent learning (2022) (1)
An investigation of how prior beliefs influence decision-making under uncertainty in a 2 AFC task (2012) (1)
Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study (2016) (1)
Two sites of synaptic integration: relevant for learning? (2000) (1)
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks (2021) (1)
An Active Learning Module to Introduce Students to the Importance of Flowcharts and Technical Documentation (2017) (1)
Meta-learning Causal Discovery (2022) (1)
The effect of powered prosthesis control signals on trial-by-trial adaptation to visual perturbations (2014) (1)
Aligning latent representations of neural activity (2022) (1)
Neuromatch Academy: a 3-week, online summer school in computational neuroscience (2021) (1)
Conceptualizing Cancer Drugs as Classifiers (2014) (1)
Two Sites of Synaptic Integration: Relevant for Learning? (2000) (1)
Corticocortical signaling drives activity in a downstream area rapidly and scalably (2017) (1)
For love of neuroscience: The Neuromatch movement (2021) (1)
Energy expenditure does not explain step length-width choices during walking (2021) (1)
From sample to knowledge: Towards an integrated approach for neuroscience discovery (2016) (1)
Motor Learning of Novel Dynamics Is Not Represented in a Single Global Coordinate System: Evaluation of 1 Mixed Coordinate Representations and Local Learning 2 3 Abbreviated Title: Evidence for Mixed Coordinate Representations and Local Learning 14 (2013) (1)
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity (2020) (1)
Discrete-time local dynamic programming (2011) (1)
Limiting motor skill knowledge via incidental training protects against choking under pressure (2018) (1)
Towards Automated Emotion Classification of Atypically and Typically Developing Infants (2020) (1)
Beyond the Catwalk: A how-to-model guide for Neuroscience that dispels the mysteries (2018) (1)
Synchronization of walking “in the wild” (2018) (1)
Learning to infer in recurrent biological networks (2020) (1)
Between Two Neurons Statistical Assessment of Time-Varying Dependency (2011) (1)
PLOS Computational Biology 2017 Reviewer and Editorial Board Thank You (2018) (1)
An adversarial algorithm for variational inference with a new role for acetylcholine (2020) (1)
Bayesian approaches to modelling action selection (2011) (1)
Advanced User Interfaces for Upper Limb FES (2013) (1)
Although optimal models are useful, optimality claims are not that common (2018) (1)
The geometry of Tempotronlike problems (2015) (0)
Abstract WMP71: Using Machine Learning to Classify Ischemic Stroke Subtype From Electronic Heath Records (2018) (0)
Report Computer Use Changes Generalization of Movement Learning (2014) (0)
Single reach plans in dorsal premotor cortex during a two-target task (2018) (0)
Dominant and Nondominant Arm Reaching Differences in Control of Limb Dynamics During (2015) (0)
Poster 268 Wii Video Game Balance‐board Training: Does It Improve Balance and Gait in Adults With Parkinson Disease? (2011) (0)
Corrigendum: Scaling of Optogenetically Evoked Signaling in a Higher-Order Corticocortical Pathway in the Anesthetized Mouse (2018) (0)
A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls (2021) (0)
Author response: Uncertainty leads to persistent effects on reach representations in dorsal premotor cortex (2016) (0)
Improving generalization by regularizing in $L^2$ function space (2018) (0)
Visual-haptic integration during pointing movements (2010) (0)
How does the human brain deal with uncertainty (1970) (0)
Relationship Between Sleep Quality and Mood: Ecological Momentary Assessment Study (Preprint) (2018) (0)
Dynamic remapping in Monkey Frontal Eye Field preserves a retinotopic representation during visual search, then compresses space toward the search target. (2018) (0)
Authorship Correction: Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles (2017) (0)
Relevance, uncertainty, and expectations affect categorization (2022) (0)
Target relevance modulates primate gaze behavior during natural scene search (2013) (0)
Behavioral tracking gets real (2018) (0)
While optimal models are useful, optimality claims are not that common. (2018) (0)
From preliminary to definitive plans: two classes of neurons in frontal eye field (2018) (0)
Nature in Response to Random Perturbations of Varying The Nervous System Uses Nonspecific Motor Learning (2010) (0)
Predicting cognitive function from clinical measures of mobility and health status: A L1-L2 regularized regression approach (2013) (0)
How does mixed reality affect quiet stance? (2017) (0)
The time course of natural stimuli leads to the emergence of complex cells (2001) (0)
A Hierarchical Bayesian Model for Topic Segmentation (2005) (0)
Sites of Synaptic Integration (2001) (0)
Faculty Opinions recommendation of Testing Bayesian models of human coincidence timing. (2012) (0)
Energy expenditure does not solely explain step length-width choices during walking. (2022) (0)
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition (2019) (0)
Neural Networks as Paths through the Space of Representations (2022) (0)
Machine Learning for Neural Decoding Research Methods/New Tools (2020) (0)
A Deep Dive to Illuminate V4 Neurons (2019) (0)
Reverse engineering neural networks from many partial recordings (2019) (0)
Overfitting to 'predict' suicidal ideation. (2023) (0)
After Long-Term Practice Skill Representation in the Primary Motor Cortex (2015) (0)
1 A MUSCLE-ACTIVITY-DEPENDENT GAIN BETWEEN MOTOR CORTEX AND EMG 1 2 Abbreviated title : Nonlinear M 1 relation to motor output 3 4 (2018) (0)
Linear-nonlinear-time-warp-poisson models of neural activity (2018) (0)
Learning of invariances from natural videos (2001) (0)
Dual purkinje eyetracking with cats (2001) (0)
Statistics of Natural Stimuli? How Are Complex Cell Properties Adapted to the (2015) (0)
Learning Causal Discovery (2022) (0)
The study of plasticity has always been about gradients. (2023) (0)
Population coding of conditional probability distributions in dorsal premotor cortex (2018) (0)
Rate ﬂuctuations not steps dominate LIP activity during decision-making (2018) (0)
The interplay of uncertainty, relevance and learning influences auditory categorization (2022) (0)
Cell lineage predicts neural connectivity beyond cell type (2022) (0)
F eb 2 01 6 Convex Relaxation Regression : Efficient Optimization of Smooth Functions by Learning Their Convex Envelopes (2016) (0)
From Puzzle to Progress: How Engaging With Neurodiversity Can Improve Cognitive Science (2023) (0)
Faculty Opinions recommendation of Stimulus onset quenches neural variability: a widespread cortical phenomenon. (2011) (0)
Quantifying the effect of staining methods on extracted neuron morphology (2018) (0)
Nucleotide-time alignment for molecular recorders (2017) (0)
Understand the cogs to understand cognition (2017) (0)
Addressing Bayesian statistics and Utility functions in psychophysical experiments ( with particular focus on the motor system ) (2004) (0)
Designing the statistically optimal drug for cancer therapy (2013) (0)
Fund Established to Support Studies of Early Origins of Crohn ’ s Disease and Schizophrenia (0)
Recording temporal data with minutes resolution into DNA (2019) (0)
Optimization and learning - from microscopic cell properties to natural videos (2001) (0)
Supervised and self-supervised learning with two sites of synaptic integration? (2001) (0)
learning to novel contexts Natural error patterns enable transfer of motor (2014) (0)
A critical reappraisal of predicting suicidal ideation using fMRI (2021) (0)
Trajectories and Final Positions in Reaching Different Learned Coordinate Frames for Planning (2015) (0)
Title: the Statistics of Natural Movements Are Reflected in Motor Errors 1 2 Running Head: Statistics of Natural Movements 3 4 27 28 the Statistics of Natural Movements Are Reflected in Motor Errors 41 (2009) (0)
Spectral Weighting Underlies Perceived Sound Elevation (2019) (0)
Outlook A B Data : Brain : Potential Principles : Architecture : Learning Rules : Machine Learning Anatomy : Plasticity Rules : Systems (2019) (0)
A complete system for non-contact eye tracking on cats (2001) (0)
Credit assignment between body and object probed by an object transportation task (2017) (0)
Learning of likelihoods for Bayesian computations (2013) (0)
Neural spiking for causal inference and learning (2023) (0)
PDE constraints on smooth hierarchical functions computed by neural networks (2020) (0)
High-Throughput Polymerase Fidelity Evolution in Microfluidic Droplets (2016) (0)
Predicting eye movements of rhesus monkeys searching for pedestrians in natural images (2014) (0)
Author-suggested reviewers rate manuscripts much more favorably: A cross-sectional analysis of the neuroscience section of PLOS ONE (2022) (0)
A Pipeline for Distributed Segmentation of Teravoxel Tomography Datasets (2018) (0)
A geometrical treatment of Tempotron-like problems (2014) (0)
Faculty Opinions recommendation of Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. (2014) (0)
The nervous system uses nonspecific motor learning in response to 1 uncertain perturbations 2 (2010) (0)
Advanced User Interfaces for Upper Limb Functional Electrical Stimulation (2013) (0)
Attention : This is only the text proof , for the real paper please see the publishers site (2000) (0)
Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study (Preprint) (2020) (0)
Nothing makes sense in deep learning, except in the light of evolution (2022) (0)
A cryptography-based approach for movement decoding (2016) (0)
DNA binding strength increases the processivity and activity of a Y-Family DNA polymerase (2017) (0)
hand-weight changes Generalization of unconstrained reaching with (2013) (0)
System Do? Decision Theory: What "Should" the Nervous (2008) (0)
Learning complex cells from natural movies (2001) (0)

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