Striatal dopamine signals reflect perceived cue–action–outcome associations in mice
TW Bernklau, B Righetti, LS Mehrke, SN Jacob - Nature Neuroscience, 2024 - nature.com
Striatal dopamine drives associative learning by acting as a teaching signal. Much work has
focused on simple learning paradigms, including Pavlovian and instrumental learning …
focused on simple learning paradigms, including Pavlovian and instrumental learning …
Sensorimotor strategies and neuronal representations for shape discrimination
Humans and other animals can identify objects by active touch, requiring the coordination of
exploratory motion and tactile sensation. Both the motor strategies and neural …
exploratory motion and tactile sensation. Both the motor strategies and neural …
Beyond l1: Faster and better sparse models with skglm
Q Bertrand, Q Klopfenstein… - Advances in …, 2022 - proceedings.neurips.cc
We propose a new fast algorithm to estimate any sparse generalized linear model with
convex or non-convex separable penalties. Our algorithm is able to solve problems with …
convex or non-convex separable penalties. Our algorithm is able to solve problems with …
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Modern neural interfaces allow access to the activity of up to a million neurons within brain
circuits. However, bandwidth limits often create a trade-off between greater spatial sampling …
circuits. However, bandwidth limits often create a trade-off between greater spatial sampling …
A detailed behavioral, videographic, and neural dataset on object recognition in mice
CC Rodgers - Scientific Data, 2022 - nature.com
Mice adeptly use their whiskers to touch, recognize, and learn about objects in their
environment. This behavior is enabled by computations performed by populations of …
environment. This behavior is enabled by computations performed by populations of …
Selection of eye-tracking stimuli for prediction by sparsely grouped input variables for neural networks: towards biomarker refinement for autism
Eye tracking has become a powerful tool in the study of autism spectrum disorder (ASD).
Current, large-scale efforts aim to identify specific eye-tracking stimuli to be used as …
Current, large-scale efforts aim to identify specific eye-tracking stimuli to be used as …
Movement decoding using spatio-spectral features of cortical and subcortical local field potentials
The first commercially sensing enabled deep brain stimulation (DBS) devices for the
treatment of movement disorders have recently become available. In the future, such …
treatment of movement disorders have recently become available. In the future, such …
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide
and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the …
and causes thousands of deaths in Europe alone. Estimating in a fast and reliable way the …
The interplay of uncertainty, relevance and learning influences auditory categorization
Auditory perception requires categorizing sound sequences, such as speech or music, into
classes, such as syllables or notes. Auditory categorization depends not only on the acoustic …
classes, such as syllables or notes. Auditory categorization depends not only on the acoustic …
The sensorimotor strategies and neuronal representations of tactile shape discrimination in mice
Humans and other animals can identify objects by active touch, requiring the coordination of
exploratory motion and tactile sensation. The brain integrates movements with the resulting …
exploratory motion and tactile sensation. The brain integrates movements with the resulting …