Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Decoding the brain: From neural representations to mechanistic models
A central principle in neuroscience is that neurons within the brain act in concert to produce
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …
perception, cognition, and adaptive behavior. Neurons are organized into specialized brain …
Energy guided diffusion for generating neurally exciting images
In recent years, most exciting inputs (MEIs) synthesized from encoding models of neuronal
activity have become an established method for studying tuning properties of biological and …
activity have become an established method for studying tuning properties of biological and …
Harmonics of learning: Universal fourier features emerge in invariant networks
In this work, we formally prove that, under certain conditions, if a neural network is invariant
to a finite group then its weights recover the Fourier transform on that group. This provides a …
to a finite group then its weights recover the Fourier transform on that group. This provides a …
A chromatic feature detector in the retina signals visual context changes
The retina transforms patterns of light into visual feature representations supporting
behaviour. These representations are distributed across various types of retinal ganglion …
behaviour. These representations are distributed across various types of retinal ganglion …
Pattern completion and disruption characterize contextual modulation in the visual cortex
Vision is fundamentally context-dependent, with neuronal responses influenced not just by
local features but also by surrounding contextual information. In the visual cortex, studies …
local features but also by surrounding contextual information. In the visual cortex, studies …
Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
Responses to natural stimuli in area V4—a mid-level area of the visual ventral stream—are
well predicted by features from convolutional neural networks (CNNs) trained on image …
well predicted by features from convolutional neural networks (CNNs) trained on image …
Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device
Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize
human applications. With orders-of-magnitude improvements in volumetric efficiency over …
human applications. With orders-of-magnitude improvements in volumetric efficiency over …
The feature landscape of visual cortex
Understanding computations in the visual system requires a characterization of the distinct
feature preferences of neurons in different visual cortical areas. However, we know little …
feature preferences of neurons in different visual cortical areas. However, we know little …
Heterogeneous orientation tuning in the primary visual cortex of mice diverges from Gabor-like receptive fields in primates
A key feature of neurons in the primary visual cortex (V1) of primates is their orientation
selectivity. Recent studies using deep neural network models showed that the most exciting …
selectivity. Recent studies using deep neural network models showed that the most exciting …
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
Prevailing theories of perception hypothesize that the brain implements perception via
Bayesian inference in a generative model of the world. One prominent theory, the Neural …
Bayesian inference in a generative model of the world. One prominent theory, the Neural …