Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity

Independent generation of sequence elements by motor cortex

(2021) Andrew J. Zimnik et al.   NATURE NEUROSCIENCE

Neural state space alignment for magnitude generalization in humans and recurrent networks

(2021) Hannah Sheahan et al.   NEURON

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

(2021) Stefano Recanatesi et al.   Nature Communications

High-precision coding in visual cortex

(2021) Carsen Stringer et al.   CELL

Rotational dynamics reduce interference between sensory and memory representations

(2021) Alexandra Libby et al.   NATURE NEUROSCIENCE

Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks

(2021) Manuel Beiran et al.   NEURAL COMPUTATION

Optimal anticipatory control as a theory of motor preparation: A thalamo-cortical circuit model

(2021) Ta-Chu Kao et al.   NEURON

Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

(2021) Tara van Viegen et al.   TRENDS IN COGNITIVE SCIENCES

Representational geometry of perceptual decisions in the monkey parietal cortex

(2021) Gouki Okazawa et al.   CELL

Geometry of abstract learned knowledge in the hippocampus

(2021) Edward H. Nieh et al.   NATURE

Cerebellar granule cell axons support high-dimensional representations

(2021) Frederic Lanore et al.   NATURE NEUROSCIENCE

Separability and geometry of object manifolds in deep neural networks

(2020) Uri Cohen et al.   Nature Communications

Structure and flexibility in cortical representations of odour space

(2020) Stan L. Pashkovski et al.   NATURE

Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation

(2020) Abigail A. Russo et al.   NEURON

Unexpected complexity of everyday manual behaviors

(2020) Yuke Yan et al.   Nature Communications

Engineering recurrent neural networks from task-relevant manifolds and dynamics

(2020) Eli Pollock et al.   PLoS Computational Biology

The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex

(2020) Silvia Bernardi et al.   CELL

Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex

(2020) Benjamin R. Cowley et al.   NEURON

Artificial Neural Networks for Neuroscientists: A Primer

(2020) Guangyu Robert Yang et al.   NEURON

Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex

(2020) Cheng Tang et al.   eLife

The dimensionality of neural representations for control

(2020) David Badre et al.   Current Opinion in Behavioral Sciences

Task representations in neural networks trained to perform many cognitive tasks

(2019) Guangyu Robert Yang et al.   NATURE NEUROSCIENCE

Cortical Areas Interact through a Communication Subspace

(2019) João D. Semedo et al.   NEURON

Re-evaluating Circuit Mechanisms Underlying Pattern Separation

(2019) N. Alex Cayco-Gajic et al.   NEURON

Neuronal Dynamics Regulating Brain and Behavioral State Transitions

(2019) Aaron S. Andalman et al.   CELL

Towards the neural population doctrine

(2019) Shreya Saxena et al.   CURRENT OPINION IN NEUROBIOLOGY

Perceptual straightening of natural videos

(2019) Olivier J. Hénaff et al.   NATURE NEUROSCIENCE

Hierarchical reasoning by neural circuits in the frontal cortex

(2019) Morteza Sarafyazd et al.   SCIENCE

High-dimensional geometry of population responses in visual cortex

(2019) Carsen Stringer et al.   NATURE

Circuit mechanisms for the maintenance and manipulation of information in working memory

(2019) Nicolas Y. Masse et al.   NATURE NEUROSCIENCE

Bayesian Computation through Cortical Latent Dynamics

(2019) Hansem Sohn et al.   NEURON

The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep

(2019) Rishidev Chaudhuri et al.   NATURE NEUROSCIENCE

Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions

(2019) Lucas Pinto et al.   NEURON

Revealing neural correlates of behavior without behavioral measurements

(2019) Alon Rubin et al.   Nature Communications

The geometry of masking in neural populations

(2019) Dario L. Ringach   Nature Communications

Low-Dimensional and Monotonic Preparatory Activity in Mouse Anterior Lateral Motor Cortex

(2018) Hidehiko K. Inagaki et al.   JOURNAL OF NEUROSCIENCE

Warnings and caveats in brain controllability

(2018) Chengyi Tu et al.   NEUROIMAGE

Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response

(2018) Abigail A. Russo et al.   NEURON

Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics

(2018) Evan D. Remington et al.   NEURON

Learning and attention reveal a general relationship between population activity and behavior

(2018) A. M. Ni et al.   SCIENCE

Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex

(2018) Sophie Bagur et al.   Nature Communications

Inferring single-trial neural population dynamics using sequential auto-encoders

(2018) Chethan Pandarinath et al.   NATURE METHODS

Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks

(2018) Francesca Mastrogiuseppe et al.   NEURON

A Dynamical Systems Perspective on Flexible Motor Timing

(2018) Evan D. Remington et al.   TRENDS IN COGNITIVE SCIENCES

Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

(2018) Chengcheng Huang et al.   NEURON

Flexible timing by temporal scaling of cortical responses

(2017) Jing Wang et al.   NATURE NEUROSCIENCE

Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains

(2017) Yuan Zhao et al.   NEURAL COMPUTATION

Optimal Degrees of Synaptic Connectivity

(2017) Ashok Litwin-Kumar et al.   NEURON

Neural Manifolds for the Control of Movement

(2017) Juan A. Gallego et al.   NEURON

An International Laboratory for Systems and Computational Neuroscience

(2017) Larry F. Abbott et al.   NEURON

Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks

(2017) N. Alex Cayco-Gajic et al.   Nature Communications

Building machines that learn and think like people

(2016) Brenden M. Lake et al.   BEHAVIORAL AND BRAIN SCIENCES

Explicit information for category-orthogonal object properties increases along the ventral stream

(2016) Ha Hong et al.   NATURE NEUROSCIENCE

Motor Planning, Not Execution, Separates Motor Memories

(2016) Hannah R. Sheahan et al.   NEURON

Recurrent Network Models of Sequence Generation and Memory

(2016) Kanaka Rajan et al.   NEURON

Global Brain Dynamics Embed the Motor Command Sequence of Caenorhabditis elegans

(2015) Saul Kato et al.   CELL

On simplicity and complexity in the brave new world of large-scale neuroscience

(2015) Peiran Gao et al.   CURRENT OPINION IN NEUROBIOLOGY

Distinct relationships of parietal and prefrontal cortices to evidence accumulation

(2015) Timothy D. Hanks et al.   NATURE

A neural network that finds a naturalistic solution for the production of muscle activity

(2015) David Sussillo et al.   NATURE NEUROSCIENCE

Controllability of structural brain networks

(2015) Shi Gu et al.   Nature Communications

Neural circuits as computational dynamical systems

(2014) David Sussillo   CURRENT OPINION IN NEUROBIOLOGY

Cortical activity in the null space: permitting preparation without movement

(2014) Matthew T Kaufman et al.   NATURE NEUROSCIENCE

Dimensionality reduction for large-scale neural recordings

(2014) John P Cunningham et al.   NATURE NEUROSCIENCE

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Context-dependent computation by recurrent dynamics in prefrontal cortex

(2013) Valerio Mante et al.   NATURE

The importance of mixed selectivity in complex cognitive tasks

(2013) Mattia Rigotti et al.   NATURE

Neural population dynamics during reaching

(2012) Mark M. Churchland et al.   NATURE

Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks

(2012) David Sussillo et al.   NEURAL COMPUTATION

How advances in neural recording affect data analysis

(2011) Ian H Stevenson et al.   NATURE NEUROSCIENCE

Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?

(2010) Mark M. Churchland et al.   NEURON