Combined social and spatial coding in a descending projection from the prefrontal cortex

M Murugan, HJ Jang, M Park, EM Miller, J Cox… - Cell, 2017 - cell.com
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 …

[HTML][HTML] Increased cocaine motivation is associated with degraded spatial and temporal representations in IL-NAc neurons

CM Cameron, M Murugan, JY Choi, EA Engel… - Neuron, 2019 - cell.com
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 …

A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation

KR Rad, A Maleki - Journal of the Royal Statistical Society Series …, 2020 - academic.oup.com
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 …

Dethroning the fano factor: a flexible, model-based approach to partitioning neural variability

AS Charles, M Park, JP Weller, GD Horwitz… - Neural …, 2018 - direct.mit.edu
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, & …

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 …

Retuning of hippocampal representations during sleep

K Maboudi, B Giri, H Miyawaki, C Kemere, K Diba - Nature, 2024 - nature.com
Hippocampal representations that underlie spatial memory undergo continuous refinement
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 …

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 …

Bayesian target optimisation for high-precision holographic optogenetics

M Triplett, M Gajowa, H Adesnik… - Advances in Neural …, 2024 - proceedings.neurips.cc
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 …

A scalable estimate of the extra-sample prediction error via approximate leave-one-out

KR Rad, A Maleki - arXiv preprint arXiv:1801.10243, 2018 - arxiv.org
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 …