Combined social and spatial coding in a descending projection from the prefrontal cortex
Social behaviors are crucial to all mammals. Although the prelimbic cortex (PL, part of
medial prefrontal cortex) has been implicated in social behavior, it is not clear which …
medial prefrontal cortex) has been implicated in social behavior, it is not clear which …
[HTML][HTML] Increased cocaine motivation is associated with degraded spatial and temporal representations in IL-NAc neurons
Craving for cocaine progressively increases in cocaine users during drug-free periods,
contributing to relapse. The projection from the infralimbic cortex to the nucleus accumbens …
contributing to relapse. The projection from the infralimbic cortex to the nucleus accumbens …
A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation
The paper considers the problem of out-of-sample risk estimation under the high
dimensional settings where standard techniques such as K-fold cross-validation suffer from …
dimensional settings where standard techniques such as K-fold cross-validation suffer from …
Dethroning the fano factor: a flexible, model-based approach to partitioning neural variability
Neurons in many brain areas exhibit high trial-to-trial variability, with spike counts that are
overdispersed relative to a Poisson distribution. Recent work (Goris, Movshon, & …
overdispersed relative to a Poisson distribution. Recent work (Goris, Movshon, & …
Multiview variational sparse Gaussian processes
L Mao, S Sun - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
Gaussian process (GP) models are flexible nonparametric models widely used in a variety of
tasks. Variational sparse GP (VSGP) scales GP models to large data sets by summarizing …
tasks. Variational sparse GP (VSGP) scales GP models to large data sets by summarizing …
Retuning of hippocampal representations during sleep
Hippocampal representations that underlie spatial memory undergo continuous refinement
following formation. Here, to track the spatial tuning of neurons dynamically during offline …
following formation. Here, to track the spatial tuning of neurons dynamically during offline …
Variational log‐Gaussian point‐process methods for grid cells
ME Rule, P Chaudhuri‐Vayalambrone… - …, 2023 - Wiley Online Library
We present practical solutions to applying Gaussian‐process (GP) methods to calculate
spatial statistics for grid cells in large environments. GPs are a data efficient approach to …
spatial statistics for grid cells in large environments. GPs are a data efficient approach to …
Efficient estimation of neural tuning during naturalistic behavior
E Balzani, K Lakshminarasimhan… - Advances in Neural …, 2020 - proceedings.neurips.cc
Recent technological advances in systems neuroscience have led to a shift away from using
simple tasks, with low-dimensional, well-controlled stimuli, towards trying to understand …
simple tasks, with low-dimensional, well-controlled stimuli, towards trying to understand …
Bayesian target optimisation for high-precision holographic optogenetics
Two-photon optogenetics has transformed our ability to probe the structure and function of
neural circuits. However, achieving precise optogenetic control of neural ensemble activity …
neural circuits. However, achieving precise optogenetic control of neural ensemble activity …
A scalable estimate of the extra-sample prediction error via approximate leave-one-out
The paper considers the problem of out-of-sample risk estimation under the high
dimensional settings where standard techniques such as $ K $-fold cross validation suffer …
dimensional settings where standard techniques such as $ K $-fold cross validation suffer …