Dimensionality, information and learning in prefrontal cortex

Subcortical Substrates of Explore-Exploit Decisions in Primates

(2019) Vincent D. Costa et al.   NEURON

New neural activity patterns emerge with long-term learning

(2019) Emily R. Oby et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Prefrontal cortex as a meta-reinforcement learning system

(2018) Jane X. Wang et al.   NATURE NEUROSCIENCE

Learning by neural reassociation

(2018) Matthew D. Golub et al.   NATURE NEUROSCIENCE

Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex

(2017) Grace W. Lindsay et al.   JOURNAL OF NEUROSCIENCE

High channel count single-unit recordings from nonhuman primate frontal cortex

(2017) Andrew R. Mitz et al.   JOURNAL OF NEUROSCIENCE METHODS

Coupling between One-Dimensional Networks Reconciles Conflicting Dynamics in LIP and Reveals Its Recurrent Circuitry

(2017) Wujie Zhang et al.   NEURON

Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models

(2016) Ryan C. Williamson et al.   PLoS Computational Biology

Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex

(2016) Benjamin R. Cowley et al.   PLoS Computational Biology

Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1

(2016) Jeffrey S. Seely et al.   PLoS Computational Biology

Demixed principal component analysis of neural population data

(2016) Dmitry Kobak et al.   eLife

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

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

Neural constraints on learning

(2014) Patrick T. Sadtler et al.   NATURE

Dimensionality reduction for large-scale neural recordings

(2014) John P Cunningham et al.   NATURE NEUROSCIENCE

Information-limiting correlations

(2014) Rubén Moreno-Bote et al.   NATURE NEUROSCIENCE

Performance-optimized hierarchical models predict neural responses in higher visual cortex

(2014) D. L. K. Yamins et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Cortical Control of Arm Movements: A Dynamical Systems Perspective

(2013) Krishna V. Shenoy et al.   Annual Review of Neuroscience

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

Compressed Sensing, Sparsity, and Dimensionality in Neuronal Information Processing and Data Analysis

(2012) Surya Ganguli et al.   Annual Review of Neuroscience

Neural Basis of Reinforcement Learning and Decision Making

(2012) Daeyeol Lee et al.   Annual Review of Neuroscience

Neural population dynamics during reaching

(2012) Mark M. Churchland et al.   NATURE

The Role of Prefrontal Dopamine D1 Receptors in the Neural Mechanisms of Associative Learning

(2012) M. Victoria Puig et al.   NEURON

Action Selection and Action Value in Frontal-Striatal Circuits

(2012) Moonsang Seo et al.   NEURON

Excitatory transmission from the amygdala to nucleus accumbens facilitates reward seeking

(2011) Garret D. Stuber et al.   NATURE

Abrupt Transitions between Prefrontal Neural Ensemble States Accompany Behavioral Transitions during Rule Learning

(2010) Daniel Durstewitz et al.   NEURON

Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity

(2009) Byron M. Yu et al.   JOURNAL OF NEUROPHYSIOLOGY

A flexible software tool for temporally-precise behavioral control in Matlab

(2008) Wael F. Asaad et al.   JOURNAL OF NEUROSCIENCE METHODS

One-Dimensional Dynamics of Attention and Decision Making in LIP

(2008) Surya Ganguli et al.   NEURON