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 …
Analysis methods for large-scale neuronal recordings
Simultaneous recordings from hundreds or thousands of neurons are becoming routine
because of innovations in instrumentation, molecular tools, and data processing software …
because of innovations in instrumentation, molecular tools, and data processing software …
A unified, scalable framework for neural population decoding
Our ability to use deep learning approaches to decipher neural activity would likely benefit
from greater scale, in terms of both the model size and the datasets. However, the …
from greater scale, in terms of both the model size and the datasets. However, the …
Population-level coding of avoidance learning in medial prefrontal cortex
The medial prefrontal cortex (mPFC) has been proposed to link sensory inputs and
behavioral outputs to mediate the execution of learned behaviors. However, how such a link …
behavioral outputs to mediate the execution of learned behaviors. However, how such a link …
De novo motor learning creates structure in neural activity that shapes adaptation
Animals can quickly adapt learned movements to external perturbations, and their existing
motor repertoire likely influences their ease of adaptation. Long-term learning causes lasting …
motor repertoire likely influences their ease of adaptation. Long-term learning causes lasting …
MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks
Artificial neural networks (ANNs) are a powerful class of computational models for
unravelling neural mechanisms of brain function. However, for neural control of movement …
unravelling neural mechanisms of brain function. However, for neural control of movement …
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Common measures of neural representational (dis) similarity are designed to be insensitive
to rotations and reflections of the neural activation space. Motivated by the premise that the …
to rotations and reflections of the neural activation space. Motivated by the premise that the …
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
Conjoint specification of action by neocortex and striatum
The interplay between two major forebrain structures—cortex and subcortical striatum—is
critical for flexible, goal-directed action. Traditionally, it has been proposed that striatum is …
critical for flexible, goal-directed action. Traditionally, it has been proposed that striatum is …
[HTML][HTML] Integrating across behaviors and timescales to understand the neural control of movement
The nervous system evolved to enable navigation throughout the environment in the pursuit
of resources. Evolutionarily newer structures allowed increasingly complex adaptations but …
of resources. Evolutionarily newer structures allowed increasingly complex adaptations but …