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 …
Deep neural network models of sensory systems: windows onto the role of task constraints
AJE Kell, JH McDermott - Current opinion in neurobiology, 2019 - Elsevier
Highlights•Deep neural networks (DNNs) now reach human-level performance on some
perceptual tasks.•They show human-like error patterns and predict sensory cortical …
perceptual tasks.•They show human-like error patterns and predict sensory cortical …
The neural architecture of language: Integrative modeling converges on predictive processing
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
Brain-score: Which artificial neural network for object recognition is most brain-like?
The internal representations of early deep artificial neural networks (ANNs) were found to be
remarkably similar to the internal neural representations measured experimentally in the …
remarkably similar to the internal neural representations measured experimentally in the …
[HTML][HTML] Measuring and modeling the motor system with machine learning
The utility of machine learning in understanding the motor system is promising a revolution
in how to collect, measure, and analyze data. The field of movement science already …
in how to collect, measure, and analyze data. The field of movement science already …
Deep neuroethology of a virtual rodent
Parallel developments in neuroscience and deep learning have led to mutually productive
exchanges, pushing our understanding of real and artificial neural networks in sensory and …
exchanges, pushing our understanding of real and artificial neural networks in sensory and …
Brain hierarchy score: Which deep neural networks are hierarchically brain-like?
Achievement of human-level image recognition by deep neural networks (DNNs) has
spurred interest in whether and how DNNs are brain-like. Both DNNs and the visual cortex …
spurred interest in whether and how DNNs are brain-like. Both DNNs and the visual cortex …
Artificial neural networks accurately predict language processing in the brain
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
Studies of the mouse visual system have revealed a variety of visual brain areas that are
thought to support a multitude of behavioral capacities, ranging from stimulus-reward …
thought to support a multitude of behavioral capacities, ranging from stimulus-reward …
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex
Convolutional neural networks trained on object recognition derive inspiration from the
neural architecture of the visual system in mammals, and have been used as models of the …
neural architecture of the visual system in mammals, and have been used as models of the …