May 05, 2021 Computing hubs in the hippocampus and cortex (2019)

April 21, 2021 Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons (2020)

April 14, 2021 A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex (2021)

April 07, 2021 Brain States and Transitions: Insights from Computational Neuroscience (2020)

March 31, 2021 The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamen (2021)

March 24, 2021 Relevance of network topology for the dynamics of biological neuronal networks (2021)

March 17, 2021 Neural state space alignment for magnitude generalization in humans and recurrent networks (2021)

March 10, 2021 Population coding in the cerebellum: a machine learning perspective (2020)

March 03, 2021 Learning probabilistic neural representations with randomly connected circuits (2020)

February 17, 2021 Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation (2021)

February 10, 2021 Decoding and perturbing decision states in real time (2021)

February 03, 2021 Emergence of irregular activity in networks of strongly coupled conductance-based neurons (2020)

December 16, 2020 Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory (2014)

December 02, 2020 EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks (2020)

November 04, 2020 Task representations in neural networks trained to perform many cognitive tasks (2019)

October 28, 2020 Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning (2020)

October 21, 2020 Tracking the flow of hippocampal computation Pattern separation, pattern completion, and attractor dynamics (2016)

October 14, 2020 Learning is shaped by abrupt changes in neural engagement (2020)

October 07, 2020 Cortical state transitions and stimulus response evolve along stiff and sloppy parameter dimensions, respectively (2020)

September 30, 2020 Systematic errors in connectivity inferred from activity in strongly recurrent networks (2020)

September 23, 2020 Low-dimensional dynamics for working memory and time encoding (2020)

September 16, 2020 If deep learning is the answer, then what is the question? (2020)

September 09, 2020 Stable task information from an unstable neural population (2020)

September 02, 2020 Multiple timescales of neural dynamics and integration of task-relevant signals across cortex (2020)

August 26, 2020 Bayesian Computation through Cortical Latent Dynamics (2019)

May 20, 2020 Recurrent circuit dynamics underlie persistent activity in the macaque frontoparietal network (2020)

May 13, 2020 A Spiking Neural Network with Local Learning Rules Derived from Nonnegative Similarity Matching (2019)

May 06, 2020 Jensen’s force and the statistical mechanics of cortical asynchronous states (2019)

April 29, 2020 SpikeCaKe Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity (2019)

April 22, 2020 Fundamental Law of Memory Recall (2020)

April 15, 2020 Neutral Theory and Scale-Free Neural Dynamics (2017)

April 08, 2020 Coarse Graining, Fixed Points, and Scaling in a Large Population of Neurons (2019)

April 01, 2020 Neural manifold under plasticity in a goal driven learning behaviour (2020)

March 25, 2020 Learning to Control the Brain through Adaptive Closed-Loop Patterned Stimulation (2020)

March 11, 2020 A transient cortical state with sleep-like sensory responses precedes emergence from general anesthesia in humans (2018)

March 04, 2020 Unifying and generalizing models of neural dynamics during decision-making (2020)

February 12, 2020 Is the Cerebellum a Smith Predictor? (1993)

February 05, 2020 Long-term stability of cortical population dynamics underlying consistent behavior (2020)

November 20, 2019 Feedback Control of Learning by the Cerebello-Olivary Pathway (2014)

November 13, 2019 Memory traces in dynamical systems (2008)

October 16, 2019 High-dimensional geometry of population responses in visual cortex (2019)

October 02, 2019 The evolution of lossy compression (2017)

September 25, 2019 Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models (2017)

September 11, 2019 Second type of criticality in the brain uncovers rich multiple-neuron dynamics (2019)

September 04, 2019 Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition (2001)

May 13, 2019 Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics (2019)

May 06, 2019 Efficient coding explains the universal law of generalization in human perception (2018)

April 29, 2019 Circuit Models of Low-Dimensional Shared Variability in Cortical Networks (2019)

April 15, 2019 A diverse range of factors affect the nature of neural representations underlying short-term memory (2019)

April 08, 2019 Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics (2019)

March 25, 2019 Flexible timing by temporal scaling of cortical responses(2018)

March 11, 2019 Low dimensional dynamics for working memory and time encoding(2019)

February 25, 2019 What does the free energy principle tell us about the brain?(2019)

February 18, 2019 Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons(2019)

February 11, 2019 Artiphysiology reveals V4-like shape tuning in a deep network trained for image classification(2018)

February 4th, 2019 Stimulus- and goal-oriented frameworks for understanding natural vision (2019)

December 10th, 2018 Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition (2018)

November 26th, 2018 Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks (2018)

November 19th, 2018 A model of temporal scaling correctly predicts that motor timing improves with speed (2018)

November 12th, 2018 Recovery of consciousness is mediated by a network of discrete metastable activity states (2014)

October 29th, 2018 Predictive Coding of Dynamical Variables in Balanced Spiking Networks (2013)

October 22nd, 2018 Markerless Pose Estimation Of User-defined Body Parts With Deep Learning (2018)

October 15th, 2018 Simultaneous multi-area recordings suggest a novel hypothesis about how attention improves performance (2018)

October 1st, 2018 The Geometry of Abstraction in Hippocampus and Prefrontal Cortex (2018)

September 24th, 2018 Thalamic Amplification of Cortical Connectivity Sustains Attentional Control (2017)

September 17th, 2018 Stability Of Point Process Spiking Neuron Models (2018)

September 10th, 2018 Toward a Unified Theory of Efficient, Predictive, and Spare Coding (2018)

August 7th, 2018 Variational Inference With Normalizing Flow (2016)

July 31st, 2018 The free-energy principle a unified brain theory (2010)

July 24th, 2018 Computational Optimal Transport (2018)

July 10th, 2018 Auto-Encoding Variational Bayes (2014)

July 3rd, 2018 Variational Algorithms For Approximate Bayesian Inference (2003)

June 26th, 2018 Statistical mechanics of complex neural systems and high dimensional data (2013)

May 7th, 2018 Recurrent Network Models of Sequence Generation and Memory (2016)

April 30, 2018 Neural Representation of Spatial Topology in the Rodent Hippocampus (2014)

April 23, 2018 Stabilizing embedology - Geometry-preserving delay-coordinate maps (2018)

April 16, 2018 A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields (2011)

April 9, 2018 Bayesian Machine Learning- EEG\/MEG signal processing measurements (2016)

March 26, 2018 Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization (2017)

March 19, 2018 Complementary codes for odor identity and intensity in olfactory cortex (2017)

February 26, 2018 Identifying musical pieces from fMRI data using encoding and decoding models (2018)

February 19, 2018 Task-dependent recurrent dynamics in visual cortex (2017)

February 12, 2018 Cerebellar granule cells encode the expectation of reward (2017)

February 5, 2018 Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response (2018)

January 29, 2018 Physical Mechanism of mind changes and tradeoffs among speed, accuracy, and energy gost in brain decision making - Landscape and flux perspective. (2016)

November 15, 2017 A theory of multineuronal dimensionality, dynamics and measurement (2017)

November 8, 2017 A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects (2005)

November 1, 2017 Cannabinoids disrupt memory encoding by functionally isolating hippocampal CA1 from CA3 (2017)

October 25, 2017 Structure in neural population recordings : an expected byproduct of simpler phenomena? (2017)

October 18, 2017 Visualizing Data using t-SNE (2008)

October 11, 2017 Fronto-parietal Cortical Circuits Encode Accumulated Evidence with a Diversity of Timescales (2017)

October 4, 2017 Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding (2015)

Sept. 27, 2017 Demixed principal component analysis of neural population data (2016)

Sept. 20, 2017 The Spatiotemporal Organization of the Striatum Encodes Action Space (2017)

September 13, 2016 A Reinforcement Learning Mechanism Responsible for the Valuation of Free Choice, Neuron (2014)

May 10 2017 From Whole-Brain Data to Functional Circuit Models, The Zebrafish Optomotor Response (2016)

May 3 2017 A spiral attractor network drives locomotion in Aplysia (2017)

April 12, 2017 Spatiotemporal Dynamics and Reliable Computations in Recurrent Spiking Neural Networks (2017)

Mar 27, 2017 Neural Quadratic Discriminant Analysis, Nonlinear Decoding with V1-Like Computation (2016)

March 22, 2017 Overcoming catastrophic forgetting in neural networks (2017)

March 8, 2017 Hippocampal Place Cells Couple to Three Different Gamma Oscillations during Place Field Traversal (2016)

Feb 15, 2017 Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior (2017)

Feb 8, 2017 Could a neuroscientist understand a microprocessor? (2017)

Feb 1, 2017 Imprinting and recalling cortical ensembles (2016)

January 25, 2017 Is cortical connectivity optimized for storing information? (2016)

January 18, 2017 History-dependent variability in population dynamics during evidence accumulation in cortex (2016)

November 1, 2016 Nonequilibrium landscape theory of neural networks (2013)

October 25, 2016 Revealing cell assemblies at multiple levels of granularity (2014)

October 18, 2016 Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014)

October 11, 2016 Spiking neurons can discover predictive features by aggregate-label leaning (2016)

September 27, 2016 Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing (2016)

September 20, 2016 A Tractable Method for Describing Complex Couplings Between Neurons and Population Rate (2016)

September 6, 2016 Training and spontaneous reinforcement of neuronal assemblies by spike timing, Arxiv (2016)

August 30, 2016 Inferring learning rules from distributions of firing rates in cortical neurons, Nature Neuroscience (2015)

August 23, 2016 Extracting spatial temporal coherent patterns in large scale neural recordings using dynamic mode decomposition, J Neurosci Methods (2016)

August 16, 2016 Decoding subjective decisions from orbitofrontal cortex, Nature Neuroscience 19, 733-980 (2016)