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Spontaneous behaviors drive multidimensional, brainwide activity
C Stringer, M Pachitariu, N Steinmetz, CB Reddy… - Science, 2019 - science.org
INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …
[HTML][HTML] How learning unfolds in the brain: toward an optimization view
JA Hennig, ER Oby, DM Losey, AP Batista, MY Byron… - Neuron, 2021 - cell.com
How do changes in the brain lead to learning? To answer this question, consider an artificial
neural network (ANN), where learning proceeds by optimizing a given objective or cost …
neural network (ANN), where learning proceeds by optimizing a given objective or cost …
Diverse coupling of neurons to populations in sensory cortex
M Okun, NA Steinmetz, L Cossell, MF Iacaruso, H Ko… - Nature, 2015 - nature.com
A large population of neurons can, in principle, produce an astronomical number of distinct
firing patterns. In cortex, however, these patterns lie in a space of lower dimension,,,, as if …
firing patterns. In cortex, however, these patterns lie in a space of lower dimension,,,, as if …
Kilohertz frame-rate two-photon tomography
A Kazemipour, O Novak, D Flickinger, JS Marvin… - Nature …, 2019 - nature.com
Point-scanning two-photon microscopy enables high-resolution imaging within scattering
specimens such as the mammalian brain, but sequential acquisition of voxels fundamentally …
specimens such as the mammalian brain, but sequential acquisition of voxels fundamentally …
The nature of shared cortical variability
IC Lin, M Okun, M Carandini, KD Harris - Neuron, 2015 - cell.com
Neuronal responses of sensory cortex are highly variable, and this variability is correlated
across neurons. To assess how variability reflects factors shared across a neuronal …
across neurons. To assess how variability reflects factors shared across a neuronal …
Linear dynamical neural population models through nonlinear embeddings
Y Gao, EW Archer, L Paninski… - Advances in neural …, 2016 - proceedings.neurips.cc
A body of recent work in modeling neural activity focuses on recovering low-dimensional
latent features that capture the statistical structure of large-scale neural populations. Most …
latent features that capture the statistical structure of large-scale neural populations. Most …
Searching for collective behavior in a large network of sensory neurons
Maximum entropy models are the least structured probability distributions that exactly
reproduce a chosen set of statistics measured in an interacting network. Here we use this …
reproduce a chosen set of statistics measured in an interacting network. Here we use this …
Noise as a resource for computation and learning in networks of spiking neurons
W Maass - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
We are used to viewing noise as a nuisance in computing systems. This is a pity, since noise
will be abundantly available in energy-efficient future nanoscale devices and circuits. I …
will be abundantly available in energy-efficient future nanoscale devices and circuits. I …
A large-scale neural network training framework for generalized estimation of single-trial population dynamics
MR Keshtkaran, AR Sedler, RH Chowdhury… - Nature …, 2022 - nature.com
Achieving state-of-the-art performance with deep neural population dynamics models
requires extensive hyperparameter tuning for each dataset. AutoLFADS is a model-tuning …
requires extensive hyperparameter tuning for each dataset. AutoLFADS is a model-tuning …
Cortical state determines global variability and correlations in visual cortex
ML Schölvinck, AB Saleem, A Benucci… - Journal of …, 2015 - jneurosci.org
The response of neurons in sensory cortex to repeated stimulus presentations is highly
variable. To investigate the nature of this variability, we compared the spike activity of …
variable. To investigate the nature of this variability, we compared the spike activity of …